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Nadkarni R, Han ZY, Anderson RJ, Allphin AJ, Clark DP, Badea A, Badea CT. High-resolution hybrid micro-CT imaging pipeline for mouse brain region segmentation and volumetric morphometry. PLoS One 2024; 19:e0303288. [PMID: 38781243 PMCID: PMC11115241 DOI: 10.1371/journal.pone.0303288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 04/23/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND Brain region segmentation and morphometry in humanized apolipoprotein E (APOE) mouse models with a human NOS2 background (HN) contribute to Alzheimer's disease (AD) research by demonstrating how various risk factors affect the brain. Photon-counting detector (PCD) micro-CT provides faster scan times than MRI, with superior contrast and spatial resolution to energy-integrating detector (EID) micro-CT. This paper presents a pipeline for mouse brain imaging, segmentation, and morphometry from PCD micro-CT. METHODS We used brains of 26 mice from 3 genotypes (APOE22HN, APOE33HN, APOE44HN). The pipeline included PCD and EID micro-CT scanning, hybrid (PCD and EID) iterative reconstruction, and brain region segmentation using the Small Animal Multivariate Brain Analysis (SAMBA) tool. We applied SAMBA to transfer brain region labels from our new PCD CT atlas to individual PCD brains via diffeomorphic registration. Region-based and voxel-based analyses were used for comparisons by genotype and sex. RESULTS Together, PCD and EID scanning take ~5 hours to produce images with a voxel size of 22 μm, which is faster than MRI protocols for mouse brain morphometry with voxel size above 40 μm. Hybrid iterative reconstruction generates PCD images with minimal artifacts and higher spatial resolution and contrast than EID images. Our PCD atlas is qualitatively and quantitatively similar to the prior MRI atlas and successfully transfers labels to PCD brains in SAMBA. Male and female mice had significant volume differences in 26 regions, including parts of the entorhinal cortex and cingulate cortex. APOE22HN brains were larger than APOE44HN brains in clusters from the hippocampus, a region where atrophy is associated with AD. CONCLUSIONS This work establishes a pipeline for mouse brain analysis using PCD CT, from staining to imaging and labeling brain images. Our results validate the effectiveness of the approach, setting a foundation for research on AD mouse models while reducing scanning durations.
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Affiliation(s)
- Rohan Nadkarni
- Quantitative Imaging and Analysis Lab, Department of Radiology, Duke University Medical Center, Durham, NC, United States of America
| | - Zay Yar Han
- Quantitative Imaging and Analysis Lab, Department of Radiology, Duke University Medical Center, Durham, NC, United States of America
| | - Robert J. Anderson
- Quantitative Imaging and Analysis Lab, Department of Radiology, Duke University Medical Center, Durham, NC, United States of America
| | - Alex J. Allphin
- Quantitative Imaging and Analysis Lab, Department of Radiology, Duke University Medical Center, Durham, NC, United States of America
| | - Darin P. Clark
- Quantitative Imaging and Analysis Lab, Department of Radiology, Duke University Medical Center, Durham, NC, United States of America
| | - Alexandra Badea
- Quantitative Imaging and Analysis Lab, Department of Radiology, Duke University Medical Center, Durham, NC, United States of America
| | - Cristian T. Badea
- Quantitative Imaging and Analysis Lab, Department of Radiology, Duke University Medical Center, Durham, NC, United States of America
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2
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Maugoust J, Orliac MJ. Anatomical correlates and nomenclature of the chiropteran endocranial cast. Anat Rec (Hoboken) 2023; 306:2791-2829. [PMID: 37018745 DOI: 10.1002/ar.25206] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 02/07/2023] [Accepted: 02/08/2023] [Indexed: 04/07/2023]
Abstract
Bats form a diverse group of mammals that are highly specialized in active flight and ultrasound echolocation. These specializations rely on adaptations that reflect on their morphoanatomy and have been tentatively linked to brain morphology and volumetry. Despite their small size and fragility, bat crania and natural braincase casts ("endocasts") have been preserved in the fossil record, which allows for investigating brain evolution and inferring paleobiology. Advances in imaging techniques have allowed virtual extraction of internal structures, assuming that the shape of the endocast reflects soft organ morphology. However, there is no direct correspondence between the endocast and internal structures because meninges and vascular tissues mark the inner braincase together with the brain they surround, resulting in a mosaic morphology of the endocast. The hypothesis suggesting that the endocast reflects the brain in terms of both external shape and volume has drastic implications when addressing brain evolution, but it has been rarely discussed. To date, only a single study addressed the correspondence between the brain and braincase in bats. Taking advantage of the advent of imaging techniques, we reviewed the anatomical, neuroanatomical, and angiological literature and compare this knowledge available on bat's braincase anatomy with anatomical observations using a sample of endocranial casts representing most modern bat families. Such comparison allows to propose a Chiroptera-scale nomenclature for future descriptions and comparisons among bat endocasts. Describing the imprints of the tissues surrounding the brain also allows to address to what extent brain features can be blurred or hidden (e.g., hypophysis, epiphysis, colliculi, flocculus). Furthermore, this approach encourages further study to formally test the proposed hypotheses.
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Affiliation(s)
- Jacob Maugoust
- Institut des Sciences de l'Evolution de Montpellier, département CHANGE, équipe Paléontologie, UMR 5554 Université de Montpellier, CNRS, IRD, EPHE, Place Eugène Bataillon, Montpellier Cedex 5, 34095, France
| | - Maeva Judith Orliac
- Institut des Sciences de l'Evolution de Montpellier, département CHANGE, équipe Paléontologie, UMR 5554 Université de Montpellier, CNRS, IRD, EPHE, Place Eugène Bataillon, Montpellier Cedex 5, 34095, France
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3
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Balcaen T, Piens C, Mwema A, Chourrout M, Vandebroek L, Des Rieux A, Chauveau F, De Borggraeve WM, Hoffmann D, Kerckhofs G. Revealing the three-dimensional murine brain microstructure by contrast-enhanced computed tomography. Front Neurosci 2023; 17:1141615. [PMID: 37034159 PMCID: PMC10076597 DOI: 10.3389/fnins.2023.1141615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 03/08/2023] [Indexed: 04/11/2023] Open
Abstract
To improve our understanding of the brain microstructure, high-resolution 3D imaging is used to complement classical 2D histological assessment techniques. X-ray computed tomography allows high-resolution 3D imaging, but requires methods for enhancing contrast of soft tissues. Applying contrast-enhancing staining agents (CESAs) ameliorates the X-ray attenuating properties of soft tissue constituents and is referred to as contrast-enhanced computed tomography (CECT). Despite the large number of chemical compounds that have successfully been applied as CESAs for imaging brain, they are often toxic for the researcher, destructive for the tissue and without proper characterization of affinity mechanisms. We evaluated two sets of chemically related CESAs (organic, iodinated: Hexabrix and CA4+ and inorganic polyoxometalates: 1:2 hafnium-substituted Wells-Dawson phosphotungstate and Preyssler anion), for CECT imaging of healthy murine hemispheres. We then selected the CESA (Hexabrix) that provided the highest contrast between gray and white matter and applied it to a cuprizone-induced demyelination model. Differences in the penetration rate, effect on tissue integrity and affinity for tissue constituents have been observed for the evaluated CESAs. Cuprizone-induced demyelination could be visualized and quantified after Hexabrix staining. Four new non-toxic and non-destructive CESAs to the field of brain CECT imaging were introduced. The added value of CECT was shown by successfully applying it to a cuprizone-induced demyelination model. This research will prove to be crucial for further development of CESAs for ex vivo brain CECT and 3D histopathology.
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Affiliation(s)
- Tim Balcaen
- MolDesignS, Sustainable Chemistry for Metals and Molecules, Department of Chemistry, KU Leuven, Leuven, Belgium
- ContrasT Team, Institute of Mechanics, Materials and Civil Engineering, Mechatronic, Electrical Energy and Dynamic Systems, UCLouvain, Louvain-la-Neuve, Belgium
- Pole of Morphology, Institute of Experimental and Clinical Research, UCLouvain, Brussels, Belgium
| | - Catherine Piens
- ContrasT Team, Institute of Mechanics, Materials and Civil Engineering, Mechatronic, Electrical Energy and Dynamic Systems, UCLouvain, Louvain-la-Neuve, Belgium
| | - Ariane Mwema
- Advanced Drug Delivery and Biomaterials, UCLouvain, Brussels, Belgium
- Bioanalysis and Pharmacology of Bioactive Lipids, UCLouvain, Brussels, Belgium
| | - Matthieu Chourrout
- Université Claude Bernard Lyon 1, Centre National de la Recherche Scientifique, Institut National de la Santé et de la Recherche Médicale, Centre de Recherche en Neurosciences de Lyon U1028 UMR 5292, Bron, France
| | - Laurens Vandebroek
- Laboratory of Biomolecular Modelling and Design (LBMD), Biochemistry, Molecular and Structural Biology, Department of Chemistry, KU Leuven, Leuven, Belgium
| | - Anne Des Rieux
- Advanced Drug Delivery and Biomaterials, UCLouvain, Brussels, Belgium
| | - Fabien Chauveau
- Université Claude Bernard Lyon 1, Centre National de la Recherche Scientifique, Institut National de la Santé et de la Recherche Médicale, Centre de Recherche en Neurosciences de Lyon U1028 UMR 5292, Bron, France
| | - Wim M. De Borggraeve
- MolDesignS, Sustainable Chemistry for Metals and Molecules, Department of Chemistry, KU Leuven, Leuven, Belgium
| | - Delia Hoffmann
- Pole of Morphology, Institute of Experimental and Clinical Research, UCLouvain, Brussels, Belgium
- Prometheus, Division of Skeletal Tissue Engineering, KU Leuven, Leuven, Belgium
- Skeletal Biology and Engineering Research Center, KU Leuven, Leuven, Belgium
| | - Greet Kerckhofs
- ContrasT Team, Institute of Mechanics, Materials and Civil Engineering, Mechatronic, Electrical Energy and Dynamic Systems, UCLouvain, Louvain-la-Neuve, Belgium
- Pole of Morphology, Institute of Experimental and Clinical Research, UCLouvain, Brussels, Belgium
- Department Materials Engineering, KU Leuven, Leuven, Belgium
- *Correspondence: Greet Kerckhofs,
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Greiner T, Manzhula K, Baumann L, Kaddatz H, Runge J, Keiler J, Kipp M, Joost S. Morphology of the murine choroid plexus: Attachment regions and spatial relation to the subarachnoid space. Front Neuroanat 2022; 16:1046017. [DOI: 10.3389/fnana.2022.1046017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 10/11/2022] [Indexed: 11/13/2022] Open
Abstract
The choroid plexus has recently been identified as a possible migration route for peripheral immune cells into the central nervous system. For future investigation of this route, profound knowledge of the morphology of the murine choroid plexus is a prerequisite. We here present a detailed morphological description of the murine choroid plexus, its attachment regions as well as its spatial relation to the subarachnoid space. We used micro-computed tomography of immersion-contrasted fixated brains to generate three-dimensional models of the ventricle system and the choroid plexus and aligned micro-computed tomography-based sections with histological paraffin-embedded sections after immunohistochemical labeling of the basal lamina and choroid plexus epithelium marker proteins (laminin and aquaporin 1). The murine choroid plexus is located in all four ventricles and is attached to the brain parenchyma in narrow attachment regions with a specific morphology in each ventricle. While in the lateral and fourth ventricle, the attachment site is formed by thin tissue bridges, the choroid plexus attachment in the third ventricle has a more complex V-like shape. In all ventricles, the choroid plexus is in close spatial relationship with the subarachnoid space that extends from the brain surface along physiologic openings toward the choroid plexus. In summary, we here provide a description of the morphology of the murine ventricle system and choroid plexus, the attachment regions of the choroid plexus and its connection to the subarachnoid space, as well as a three-dimensional model of the ventricles, the choroid plexus, and the subarachnoid space to facilitate a spatial understanding of these complex structures.
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5
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High-resolution micro-CT for 3D infarct characterization and segmentation in mice stroke models. Sci Rep 2022; 12:17471. [PMID: 36261475 PMCID: PMC9582034 DOI: 10.1038/s41598-022-21494-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 09/28/2022] [Indexed: 01/12/2023] Open
Abstract
Characterization of brain infarct lesions in rodent models of stroke is crucial to assess stroke pathophysiology and therapy outcome. Until recently, the analysis of brain lesions was performed using two techniques: (1) histological methods, such as TTC (Triphenyltetrazolium chloride), a time-consuming and inaccurate process; or (2) MRI imaging, a faster, 3D imaging method, that comes at a high cost. In the last decade, high-resolution micro-CT for 3D sample analysis turned into a simple, fast, and cheaper solution. Here, we successfully describe the application of brain contrasting agents (Osmium tetroxide and inorganic iodine) for high-resolution micro-CT imaging for fine location and quantification of ischemic lesion and edema in mouse preclinical stroke models. We used the intraluminal transient MCAO (Middle Cerebral Artery Occlusion) mouse stroke model to identify and quantify ischemic lesion and edema, and segment core and penumbra regions at different time points after ischemia, by manual and automatic methods. In the transient-ischemic-attack (TIA) mouse model, we can quantify striatal myelinated fibers degeneration. Of note, whole brain 3D reconstructions allow brain atlas co-registration, to identify the affected brain areas, and correlate them with functional impairment. This methodology proves to be a breakthrough in the field, by providing a precise and detailed assessment of stroke outcomes in preclinical animal studies.
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Virtual histology of an entire mouse brain from formalin fixation to paraffin embedding. Part 1: Data acquisition, anatomical feature segmentation, tracking global volume and density changes. J Neurosci Methods 2021; 364:109354. [PMID: 34529981 DOI: 10.1016/j.jneumeth.2021.109354] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 09/01/2021] [Accepted: 09/04/2021] [Indexed: 01/14/2023]
Abstract
BACKGROUND Micrometer-resolution neuroimaging with gold-standard conventional histology requires tissue fixation and embedding. The exchange of solvents for the creation of sectionable paraffin blocks modifies tissue density and generates non-uniform brain shrinkage. NEW METHOD We employed synchrotron radiation-based X-ray microtomography for slicing- and label-free virtual histology of the mouse brain at different stages of the standard preparation protocol from formalin fixation via ascending ethanol solutions and xylene to paraffin embedding. Segmentation of anatomical regions allowed us to quantify non-uniform tissue shrinkage. Global and local changes in X-ray absorption gave insight into contrast enhancement for virtual histology. RESULTS The volume of the entire mouse brain was 60%, 56%, and 40% of that in formalin for, respectively, 100% ethanol, xylene, and paraffin. The volume changes of anatomical regions such as the hippocampus, anterior commissure, and ventricles differ from the global volume change. X-ray absorption of the full brain decreased, while local absorption differences increased, resulting in enhanced contrast for virtual histology. These trends were also observed with laboratory microtomography measurements. COMPARISON WITH EXISTING METHODS Microtomography provided sub-10 μm spatial resolution with sufficient density resolution to resolve anatomical structures at each step of the embedding protocol. The spatial resolution of conventional computed tomography and magnetic resonance microscopy is an order of magnitude lower and both do not match the contrast of microtomography over the entire embedding protocol. Unlike feature-to-feature or total volume measurements, our approach allows for calculation of volume change based on segmentation. CONCLUSION We present isotropic micrometer-resolution imaging to quantify morphology and composition changes in a mouse brain during the standard histological preparation. The proposed method can be employed to identify the most appropriate embedding medium for anatomical feature visualization, to reveal the basis for the dramatic X-ray contrast enhancement observed in numerous embedded tissues, and to quantify morphological changes during tissue fixation and embedding.
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7
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Rolfe S, Pieper S, Porto A, Diamond K, Winchester J, Shan S, Kirveslahti H, Boyer D, Summers A, Maga AM. SlicerMorph: An open and extensible platform to retrieve, visualize and analyse 3D morphology. Methods Ecol Evol 2021. [DOI: 10.1111/2041-210x.13669] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Sara Rolfe
- Friday Harbor Marine LaboratoriesUniversity of Washington San Juan WA USA
- Seattle Children's Research Institute Center for Developmental Biology and Regenerative Medicine Seattle WA USA
| | | | - Arthur Porto
- Department of Biological Sciences Louisiana State University Baton Rouge LA USA
- Center for Computation and Technology Louisiana State University Baton Rouge LA USA
| | - Kelly Diamond
- Seattle Children's Research Institute Center for Developmental Biology and Regenerative Medicine Seattle WA USA
| | - Julie Winchester
- Department of Evolutionary Anthropology Duke University Durham NC USA
| | - Shan Shan
- Department of Mathematics Mount Holyoke College South Hadley MA USA
| | | | - Doug Boyer
- Department of Biological Sciences Louisiana State University Baton Rouge LA USA
| | - Adam Summers
- Friday Harbor Marine LaboratoriesUniversity of Washington San Juan WA USA
| | - A. Murat Maga
- Seattle Children's Research Institute Center for Developmental Biology and Regenerative Medicine Seattle WA USA
- Department of Pediatrics Division of Craniofacial Medicine University of Washington Seattle WA USA
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8
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Gignac PM, O'Brien HD, Sanchez J, Vazquez-Sanroman D. Multiscale imaging of the rat brain using an integrated diceCT and histology workflow. Brain Struct Funct 2021; 226:2153-2168. [PMID: 34173869 DOI: 10.1007/s00429-021-02316-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 06/07/2021] [Indexed: 11/27/2022]
Abstract
Advancements in tissue visualization techniques have spurred significant gains in the biomedical sciences by enabling researchers to integrate their datasets across anatomical scales. Of particular import are techniques that enable the interpolation of multiple hierarchical scales in samples taken from the same individuals. In this study, we demonstrate that two-dimensional histology techniques can be employed on neural tissues following three-dimensional diffusible iodine-based contrast-enhanced computed tomography (diceCT) without causing tissue degradation. This represents the first step toward a multiscale pipeline for brain visualization. We studied brains from adolescent male Sprague-Dawley rats, comparing experimental (diceCT-stained then de-stained) to control (without diceCT) brains to examine neural tissues for immunolabeling integrity, compare somata sizes, and distinguish neurons from glial cells within the telencephalon and diencephalon. We hypothesized that if experimental and control samples do not differ significantly in morphological cell analysis, then brain tissues are robust to the chemical, temperature, and radiation environments required for these multiple, successive imaging protocols. Visualizations for experimental brains were first captured via micro-computed tomography scanning of isolated, iodine-infused specimens. Samples were then cleared of iodine, serially sectioned, and prepared again using immunofluorescent, fluorescent, and cresyl violet labeling, followed by imaging with confocal and light microscopy, respectively. Our results show that many neural targets are resilient to diceCT imaging and compatible with downstream histological staining as part of a low-cost, multiscale brain imaging pipeline.
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Affiliation(s)
- Paul M Gignac
- Department of Anatomy and Cell Biology, Oklahoma State University Center for Health Sciences, Tulsa, OK, 74107, USA
| | - Haley D O'Brien
- Department of Anatomy and Cell Biology, Oklahoma State University Center for Health Sciences, Tulsa, OK, 74107, USA
| | - Jimena Sanchez
- Centro de Investigaciones Cerebrales, Universidad Veracruzana, Xalapa, Mexico
| | - Dolores Vazquez-Sanroman
- Department of Anatomy and Cell Biology, Oklahoma State University Center for Health Sciences, Tulsa, OK, 74107, USA.
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9
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Contrast enhanced X-ray computed tomography imaging of amyloid plaques in Alzheimer disease rat model on lab based micro CT system. Sci Rep 2021; 11:5999. [PMID: 33727592 PMCID: PMC7966753 DOI: 10.1038/s41598-021-84579-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 02/18/2021] [Indexed: 12/21/2022] Open
Abstract
Amyloid plaques are small (~ 50 μm), highly-dense aggregates of amyloid beta (Aβ) protein in brain tissue, supposed to play a key role in pathogenesis of Alzheimer’s disease (AD). Plaques´ in vivo detection, spatial distribution and quantitative characterization could be an essential marker in diagnostics and evaluation of AD progress. However, current imaging methods in clinics possess substantial limits in sensitivity towards Aβ plaques to play a considerable role in AD screening. Contrast enhanced X-ray micro computed tomography (micro CT) is an emerging highly sensitive imaging technique capable of high resolution visualization of rodent brain. In this study we show the absorption based contrast enhanced X-ray micro CT imaging is viable method for detection and 3D analysis of Aβ plaques in transgenic rodent models of Alzheimer’s disease. Using iodine contrasted brain tissue isolated from the Tg-F344-AD rat model we show the micro CT imaging is capable of precise imaging of Aβ plaques, making possible to further analyze various aspects of their 3D spatial distribution and other properties.
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10
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Kastner DB, Kharazia V, Nevers R, Smyth C, Astudillo-Maya DA, Williams GM, Yang Z, Holobetz CM, Santina LD, Parkinson DY, Frank LM. Scalable method for micro-CT analysis enables large scale quantitative characterization of brain lesions and implants. Sci Rep 2020; 10:20851. [PMID: 33257721 PMCID: PMC7705725 DOI: 10.1038/s41598-020-77796-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2020] [Accepted: 11/17/2020] [Indexed: 12/18/2022] Open
Abstract
Anatomic evaluation is an important aspect of many studies in neuroscience; however, it often lacks information about the three-dimensional structure of the brain. Micro-CT imaging provides an excellent, nondestructive, method for the evaluation of brain structure, but current applications to neurophysiological or lesion studies require removal of the skull as well as hazardous chemicals, dehydration, or embedding, limiting their scalability and utility. Here we present a protocol using eosin in combination with bone decalcification to enhance contrast in the tissue and then employ monochromatic and propagation phase-contrast micro-CT imaging to enable the imaging of brain structure with the preservation of the surrounding skull. Instead of relying on descriptive, time-consuming, or subjective methods, we develop simple quantitative analyses to map the locations of recording electrodes and to characterize the presence and extent of hippocampal brain lesions.
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Affiliation(s)
- David B Kastner
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, 94143, USA. .,Kavli Institute for Fundamental Neuroscience and Department of Physiology, University of California, San Francisco, CA, 94158, USA.
| | - Viktor Kharazia
- Kavli Institute for Fundamental Neuroscience and Department of Physiology, University of California, San Francisco, CA, 94158, USA
| | - Rhino Nevers
- Kavli Institute for Fundamental Neuroscience and Department of Physiology, University of California, San Francisco, CA, 94158, USA
| | - Clay Smyth
- Kavli Institute for Fundamental Neuroscience and Department of Physiology, University of California, San Francisco, CA, 94158, USA
| | - Daniela A Astudillo-Maya
- Kavli Institute for Fundamental Neuroscience and Department of Physiology, University of California, San Francisco, CA, 94158, USA
| | - Greer M Williams
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, 94143, USA
| | - Zhounan Yang
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, 94143, USA
| | - Cristofer M Holobetz
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, 94143, USA
| | - Luca Della Santina
- Deparment of Ophthalmology, University of California, San Francisco, CA, 94143, USA.,Bakar Computational Health Science Unit, University of California, San Francisco, CA, 94158, USA
| | - Dilworth Y Parkinson
- Advanced Light Source, Lawrence Berkeley National Labs, Berkeley, CA, 94720, USA
| | - Loren M Frank
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, 94143, USA.,Kavli Institute for Fundamental Neuroscience and Department of Physiology, University of California, San Francisco, CA, 94158, USA.,Howard Hughes Medical Institute, Chevy Chase, MD, USA
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11
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Llambrich S, Wouters J, Himmelreich U, Dierssen M, Sharpe J, Gsell W, Martínez-Abadías N, Vande Velde G. ViceCT and whiceCT for simultaneous high-resolution visualization of craniofacial, brain and ventricular anatomy from micro-computed tomography. Sci Rep 2020; 10:18772. [PMID: 33128010 PMCID: PMC7599226 DOI: 10.1038/s41598-020-75720-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Accepted: 10/13/2020] [Indexed: 02/07/2023] Open
Abstract
Up to 40% of congenital diseases present disturbances of brain and craniofacial development resulting in simultaneous alterations of both systems. Currently, the best available method to preclinically visualize the brain and the bones simultaneously is to co-register micro-magnetic resonance (µMR) and micro-computed tomography (µCT) scans of the same specimen. However, this requires expertise and access to both imaging techniques, dedicated software and post-processing knowhow. To provide a more affordable, reliable and accessible alternative, recent research has focused on optimizing a contrast-enhanced µCT protocol using iodine as contrast agent that delivers brain and bone images from a single scan. However, the available methods still cannot provide the complete visualization of both the brain and whole craniofacial complex. In this study, we have established an optimized protocol to diffuse the contrast into the brain that allows visualizing the brain parenchyma and the complete craniofacial structure in a single ex vivo µCT scan (whiceCT). In addition, we have developed a new technique that allows visualizing the brain ventricles using a bilateral stereotactic injection of iodine-based contrast (viceCT). Finally, we have tested both techniques in a mouse model of Down syndrome, as it is a neurodevelopmental disorder with craniofacial, brain and ventricle defects. The combined use of viceCT and whiceCT provides a complete visualization of the brain and bones with intact craniofacial structure of an adult mouse ex vivo using a single imaging modality.
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Affiliation(s)
- Sergi Llambrich
- Biomedical Imaging, Department of Imaging and Pathology, Faculty of Medicine, KU Leuven, Herestraat 49 O&N1 box 505, 3000, Leuven, Belgium.,Molecular Small Animal Imaging Centre (MoSAIC), KU Leuven, Leuven, Belgium
| | - Jens Wouters
- Biomedical Imaging, Department of Imaging and Pathology, Faculty of Medicine, KU Leuven, Herestraat 49 O&N1 box 505, 3000, Leuven, Belgium.,Molecular Small Animal Imaging Centre (MoSAIC), KU Leuven, Leuven, Belgium
| | - Uwe Himmelreich
- Biomedical Imaging, Department of Imaging and Pathology, Faculty of Medicine, KU Leuven, Herestraat 49 O&N1 box 505, 3000, Leuven, Belgium.,Molecular Small Animal Imaging Centre (MoSAIC), KU Leuven, Leuven, Belgium
| | - Mara Dierssen
- Centre for Genomic Regulation (CRG, The Barcelona Institute of Science and Technology, 08003, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), 08003, Barcelona, Spain
| | - James Sharpe
- EMBL Barcelona, European Molecular Biology Laboratory, Barcelona, Spain Institució Catalana de Recerca I Estudis Avançats (ICREA), Barcelona, Spain
| | - Willy Gsell
- Biomedical Imaging, Department of Imaging and Pathology, Faculty of Medicine, KU Leuven, Herestraat 49 O&N1 box 505, 3000, Leuven, Belgium.,Molecular Small Animal Imaging Centre (MoSAIC), KU Leuven, Leuven, Belgium
| | - Neus Martínez-Abadías
- GREAB-Research Group in Biological Anthropology. Department of Evolutionary Biology, Ecology and Environmental Sciences, BEECA. Universitat de Barcelona, Barcelona, Spain
| | - Greetje Vande Velde
- Biomedical Imaging, Department of Imaging and Pathology, Faculty of Medicine, KU Leuven, Herestraat 49 O&N1 box 505, 3000, Leuven, Belgium. .,Molecular Small Animal Imaging Centre (MoSAIC), KU Leuven, Leuven, Belgium.
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12
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diceCT: A Valuable Technique to Study the Nervous System of Fish. eNeuro 2020; 7:ENEURO.0076-20.2020. [PMID: 32471849 PMCID: PMC7642124 DOI: 10.1523/eneuro.0076-20.2020] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Revised: 05/08/2020] [Accepted: 05/13/2020] [Indexed: 12/31/2022] Open
Abstract
Contrast-enhanced X-ray imaging provides a non-destructive and flexible approach to optimizing contrast in soft tissues, especially when incorporated with Lugol's solution (aqueous I2KI), a technique currently referred to as diffusible iodine-based contrast-enhanced computed tomography (diceCT). This stain exhibits high rates of penetration and results in excellent contrast between and within soft tissues, including the central nervous system. Here, we present a staining method for optimizing contrast in the brain of a cartilaginous fish, the brownbanded bamboo shark, Chiloscyllium punctatum, and a bony fish, the common goldfish, Carassius auratus, using diceCT. The aim of this optimization procedure is to provide suitable contrast between neural tissue and background tissue(s) of the head, thereby facilitating digital segmentation and volumetric analysis of the central nervous system. Both species were scanned before staining and were rescanned at time (T) intervals, either every 48 h (C. punctatum) or every 24 h (C. auratus), to assess stain penetration and contrast enhancement. To compare stain intensities, raw X-ray CT data were reconstructed using air and water calibration phantoms that were scanned under identical conditions to the samples. Optimal contrast across the brain was achieved at T = 240 h for C. punctatum and T = 96 h for C. auratus Higher resolution scans of the whole brain were obtained at the two optimized staining times for all the corresponding specimens. The use of diceCT provides a new and valuable tool for visualizing differences in the anatomic organization of both the central and peripheral nervous systems of fish.
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Udagawa S, Miyara K, Takekata H, Takeuchi Y, Takemura A. Investigation on the validity of 3D micro-CT imaging in the fish brain. J Neurosci Methods 2019; 328:108416. [PMID: 31472188 DOI: 10.1016/j.jneumeth.2019.108416] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Revised: 08/27/2019] [Accepted: 08/27/2019] [Indexed: 10/26/2022]
Abstract
BACKGROUND Micro-computed tomography (CT) is a non-invasive technique that is used to obtain three-dimensional (3D) images of tissue structure in small animals. Compared with extensive mammal studies, few 3D imaging studies of fish have been conducted using micro-CT. An optimized method for imaging fish tissue structure is necessary, because they have adapted to diverse environments via functional and structural specialization. NEW METHOD Brains of three species with different sizes and habitats were fixed in 4% paraformaldehyde and immersed in non-ionic iodinated contrast agent (Iopamiron). We examined the relationship between Iopamiron concentration and immersion time to determine universally optimal conditions for use in fish. RESULTS We reconstructed 3D images of whole fish brains from cross-sections of brains from the Malabar grouper (Epinephelus malabaricus), bastard halibut (Paralichthys olivaceus), and threespot wrasse (Halichoeres trimaculatus). Developmental changes in brain structure were observed in the bastard halibut. Most brain regions of the threespot wrasse were distinguishable, although inner regions of the brain were less visible. COMPARISON WITH EXISTING METHODS Histological techniques are typically used to observe fish brain structure, despite its drawbacks in terms of tissue sample preparation (shrinkage and distortion) and image capture (3D image constriction). The technique examined in the present study solves these problems and allows for the simultaneous handling of multiple specimens. CONCLUSION Micro-CT imaging is suitable for observing the surfaces and inner structures of fish of various species.
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Affiliation(s)
- Shingo Udagawa
- Graduate School of Engineering and Science, University of the Ryukyus, 1 Senbaru, Nishihara, Okinawa 903-0213, Japan
| | - Keitaro Miyara
- Department of Chemistry, Biology and Marine Science, Faculty of Science, University of the Ryukyus, 1 Senbaru, Nishihara, Okinawa 903-0213, Japan
| | - Hiroki Takekata
- Organization for Research Promotion, University of the Ryukyus, 1 Senbaru, Nishihara, Okinawa 903-0213, Japan
| | - Yuki Takeuchi
- Department of Chemistry, Biology and Marine Science, Faculty of Science, University of the Ryukyus, 1 Senbaru, Nishihara, Okinawa 903-0213, Japan; Okinawa Institute of Science and Technology Graduate University, 1919-1, Onna, Okinawa 904-0495, Japan
| | - Akihiro Takemura
- Department of Chemistry, Biology and Marine Science, Faculty of Science, University of the Ryukyus, 1 Senbaru, Nishihara, Okinawa 903-0213, Japan.
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Mrzílková J, Patzelt M, Gallina P, Wurst Z, Šeremeta M, Dudák J, Krejčí F, Žemlička J, Musil V, Karch J, Rosina J, Zach P. Imaging of Mouse Brain Fixated in Ethanol in Micro-CT. BIOMED RESEARCH INTERNATIONAL 2019; 2019:2054262. [PMID: 31392208 PMCID: PMC6662504 DOI: 10.1155/2019/2054262] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2018] [Revised: 06/07/2019] [Accepted: 06/20/2019] [Indexed: 12/25/2022]
Abstract
Micro-CT imaging is a well-established morphological method for the visualization of animal models. We used ethanol fixation of the mouse brains to perform high-resolution micro-CT scans showing in great details brain grey and white matters. It was possible to identify more than 50 neuroanatomical structures on the 5 selected coronal sections. Among white matter structures, we identified fornix, medial lemniscus, crossed tectospinal pathway, mammillothalamic tract, and the sensory root of the trigeminal ganglion. Among grey matter structures, we identified basal nuclei, habenular complex, thalamic nuclei, amygdala, subparts of hippocampal formation, superior colliculi, Edinger-Westphal nucleus, and others. We suggest that micro-CT of the mouse brain could be used for neurohistological lesions evaluation as an alternative to classical neurohistology because it does not destroy brain tissue.
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Affiliation(s)
- Jana Mrzílková
- Specialized Laboratory of Experimental Imaging Third Faculty of Medicine, Charles University, Institute of Experimental and Applied Physics and Faculty of Biomedical Engineering, Czech Technical University in Prague, Prague, Czech Republic
- Department of Anatomy, Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Matěj Patzelt
- Specialized Laboratory of Experimental Imaging Third Faculty of Medicine, Charles University, Institute of Experimental and Applied Physics and Faculty of Biomedical Engineering, Czech Technical University in Prague, Prague, Czech Republic
- Department of Anatomy, Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Pasquale Gallina
- Department of Surgery and Translational Medicine, Neurosurgery Unit, Florence School of Neurosurgery, University of Florence, Florence, Italy
| | - Zdeněk Wurst
- Department of Anatomy, Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Martin Šeremeta
- Department of Anatomy, Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Jan Dudák
- Institute of Experimental and Applied Physics, Czech Technical University, Prague, Czech Republic
- Czech Technical University in Prague, Faculty of Biomedical Engineering, Kladno, Czech Republic
| | - František Krejčí
- Institute of Experimental and Applied Physics, Czech Technical University, Prague, Czech Republic
| | - Jan Žemlička
- Institute of Experimental and Applied Physics, Czech Technical University, Prague, Czech Republic
| | - Vladimír Musil
- Specialized Laboratory of Experimental Imaging Third Faculty of Medicine, Charles University, Institute of Experimental and Applied Physics and Faculty of Biomedical Engineering, Czech Technical University in Prague, Prague, Czech Republic
- Department of Anatomy, Third Faculty of Medicine, Charles University, Prague, Czech Republic
- Centre of Scientific Information, Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Jakub Karch
- Institute of Experimental and Applied Physics, Czech Technical University, Prague, Czech Republic
| | - Jozef Rosina
- Czech Technical University in Prague, Faculty of Biomedical Engineering, Kladno, Czech Republic
- Department of Medical Biophysics and Informatics, Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Petr Zach
- Specialized Laboratory of Experimental Imaging Third Faculty of Medicine, Charles University, Institute of Experimental and Applied Physics and Faculty of Biomedical Engineering, Czech Technical University in Prague, Prague, Czech Republic
- Department of Anatomy, Third Faculty of Medicine, Charles University, Prague, Czech Republic
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15
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Gradinaru V, Treweek J, Overton K, Deisseroth K. Hydrogel-Tissue Chemistry: Principles and Applications. Annu Rev Biophys 2019; 47:355-376. [PMID: 29792820 PMCID: PMC6359929 DOI: 10.1146/annurev-biophys-070317-032905] [Citation(s) in RCA: 81] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Over the past five years, a rapidly developing experimental approach has enabled high-resolution and high-content information retrieval from intact multicellular animal (metazoan) systems. New chemical and physical forms are created in the hydrogel-tissue chemistry process, and the retention and retrieval of crucial phenotypic information regarding constituent cells and molecules (and their joint interrelationships) are thereby enabled. For example, rich data sets defining both single-cell-resolution gene expression and single-cell-resolution activity during behavior can now be collected while still preserving information on three-dimensional positioning and/or brain-wide wiring of those very same neurons-even within vertebrate brains. This new approach and its variants, as applied to neuroscience, are beginning to illuminate the fundamental cellular and chemical representations of sensation, cognition, and action. More generally, reimagining metazoans as metareactants-or positionally defined three-dimensional graphs of constituent chemicals made available for ongoing functionalization, transformation, and readout-is stimulating innovation across biology and medicine.
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Affiliation(s)
- Viviana Gradinaru
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California 91125, USA;
| | - Jennifer Treweek
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California 91125, USA;
| | - Kristin Overton
- Department of Bioengineering, Stanford University, Stanford, California 94305, USA;
| | - Karl Deisseroth
- Department of Bioengineering, Stanford University, Stanford, California 94305, USA; .,Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California 94305, USA.,H oward Hughes Medical Institute, Stanford University, Stanford, California 94305, USA
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16
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Masís J, Mankus D, Wolff SBE, Guitchounts G, Joesch M, Cox DD. A micro-CT-based method for quantitative brain lesion characterization and electrode localization. Sci Rep 2018; 8:5184. [PMID: 29581439 PMCID: PMC5980003 DOI: 10.1038/s41598-018-23247-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2017] [Accepted: 03/08/2018] [Indexed: 12/26/2022] Open
Abstract
Lesion verification and quantification is traditionally done via histological examination of sectioned brains, a time-consuming process that relies heavily on manual estimation. Such methods are particularly problematic in posterior cortical regions (e.g. visual cortex), where sectioning leads to significant damage and distortion of tissue. Even more challenging is the post hoc localization of micro-electrodes, which relies on the same techniques, suffers from similar drawbacks and requires even higher precision. Here, we propose a new, simple method for quantitative lesion characterization and electrode localization that is less labor-intensive and yields more detailed results than conventional methods. We leverage staining techniques standard in electron microscopy with the use of commodity micro-CT imaging. We stain whole rat and zebra finch brains in osmium tetroxide, embed these in resin and scan entire brains in a micro-CT machine. The scans result in 3D reconstructions of the brains with section thickness dependent on sample size (12-15 and 5-6 microns for rat and zebra finch respectively) that can be segmented manually or automatically. Because the method captures the entire intact brain volume, comparisons within and across studies are more tractable, and the extent of lesions and electrodes may be studied with higher accuracy than with current methods.
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Affiliation(s)
- Javier Masís
- Harvard University, Department of Molecular and Cellular Biology, Cambridge, MA, 02138, USA. .,Harvard University, Center for Brain Science, Cambridge, MA, 02138, USA.
| | - David Mankus
- Harvard University, Center for Brain Science, Cambridge, MA, 02138, USA
| | - Steffen B E Wolff
- Harvard University, Department of Organismic and Evolutionary Biology, Cambridge, MA, 02138, USA.,Harvard University, Center for Brain Science, Cambridge, MA, 02138, USA
| | - Grigori Guitchounts
- Harvard University, Department of Molecular and Cellular Biology, Cambridge, MA, 02138, USA.,Harvard University, Center for Brain Science, Cambridge, MA, 02138, USA
| | - Maximilian Joesch
- Institute of Science and Technology Austria, Klosterneuburg, Austria
| | - David D Cox
- Harvard University, Department of Molecular and Cellular Biology, Cambridge, MA, 02138, USA.,Harvard University, Center for Brain Science, Cambridge, MA, 02138, USA
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17
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Choi JP, Yang X, Foley M, Wang X, Zheng X. Induction and Micro-CT Imaging of Cerebral Cavernous Malformations in Mouse Model. J Vis Exp 2017. [PMID: 28892037 DOI: 10.3791/56476] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022] Open
Abstract
Mutations in the CCM1 (aka KRIT1), CCM2, or CCM3 (aka PDCD10) gene cause cerebral cavernous malformation (CCM) in humans. Mouse models of CCM disease have been established by tamoxifen induced deletion of Ccm genes in postnatal animals. These mouse models provide invaluable tools to investigate molecular mechanism and therapeutic approaches for CCM disease. An accurate and quantitative method to assess lesion burden and progression is essential to harness the full value of these animal models. Here, we demonstrate the induction of CCM disease in a mouse model and the use of the contrast enhanced X-ray micro computed tomography (micro-CT) method to measure CCM lesion burden in mouse brains. At postnatal day 1 (P1), we used 4-hydroxytamoxifen (4HT) to activate Cre recombinase activity from the Cdh5-CreErt2 transgene to cleave the floxed allele of Ccm2. CCM lesions in mouse brains were analyzed at P8. For micro-CT, iodine based Lugol's solution was used to enhance contrast in brain tissue. We have optimized the scan parameters and utilized a voxel dimension of 9.5 µm, which lead to a minimum feature size of approximately 25 µm. This resolution is sufficient to measure CCM lesion volume and number globally and accurately, and provide high-quality 3-D mapping of CCM lesions in mouse brains. This method enhances the value of the established mouse models to study the molecular basis and potential therapies for CCM and other cerebrovascular diseases.
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Affiliation(s)
- Jaesung P Choi
- Lab of Cardiovascular Signaling, Centenary Institute; Faculty of Medicine, Sydney Medical School, University of Sydney
| | - Xi Yang
- Department of Pharmacology, School of Basic Medical Sciences, Tianjin Medical University
| | - Matthew Foley
- Australian Centre for Microscopy & Microanalysis, University of Sydney
| | - Xian Wang
- Lab of Cardiovascular Signaling, Centenary Institute
| | - Xiangjian Zheng
- Lab of Cardiovascular Signaling, Centenary Institute; Faculty of Medicine, Sydney Medical School, University of Sydney; Department of Pharmacology, School of Basic Medical Sciences, Tianjin Medical University;
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18
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Ou Y, Zöllei L, Retzepi K, Castro V, Bates SV, Pieper S, Andriole KP, Murphy SN, Gollub RL, Grant PE. Using clinically acquired MRI to construct age-specific ADC atlases: Quantifying spatiotemporal ADC changes from birth to 6-year old. Hum Brain Mapp 2017; 38:3052-3068. [PMID: 28371107 PMCID: PMC5426959 DOI: 10.1002/hbm.23573] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2016] [Revised: 03/03/2017] [Accepted: 03/07/2017] [Indexed: 12/19/2022] Open
Abstract
Diffusion imaging is critical for detecting acute brain injury. However, normal apparent diffusion coefficient (ADC) maps change rapidly in early childhood, making abnormality detection difficult. In this article, we explored clinical PACS and electronic healthcare records (EHR) to create age-specific ADC atlases for clinical radiology reference. Using the EHR and three rounds of multiexpert reviews, we found ADC maps from 201 children 0-6 years of age scanned between 2006 and 2013 who had brain MRIs with no reported abnormalities and normal clinical evaluations 2+ years later. These images were grouped in 10 age bins, densely sampling the first 1 year of life (5 bins, including neonates and 4 quarters) and representing the 1-6 year age range (an age bin per year). Unbiased group-wise registration was used to construct ADC atlases for 10 age bins. We used the atlases to quantify (a) cross-sectional normative ADC variations; (b) spatiotemporal heterogeneous ADC changes; and (c) spatiotemporal heterogeneous volumetric changes. The quantified age-specific whole-brain and region-wise ADC values were compared to those from age-matched individual subjects in our study and in multiple existing independent studies. The significance of this study is that we have shown that clinically acquired images can be used to construct normative age-specific atlases. These first of their kind age-specific normative ADC atlases quantitatively characterize changes of myelination-related water diffusion in the first 6 years of life. The quantified voxel-wise spatiotemporal ADC variations provide standard references to assist radiologists toward more objective interpretation of abnormalities in clinical images. Our atlases are available at https://www.nitrc.org/projects/mgh_adcatlases. Hum Brain Mapp 38:3052-3068, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Yangming Ou
- Psychiatric Neuroimaging, Department of PsychiatryMassachusetts General Hospital, Harvard Medical SchoolCharlestownMassachusetts
- Laboratory for Computational NeuroimagingAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical SchoolCharlestownMassachusetts
- Quantitative Tumor Imaging at Martinos, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical SchoolCharlestownMassachusetts
- Fetal‐Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical SchoolBostonMassachusetts
| | - Lilla Zöllei
- Laboratory for Computational NeuroimagingAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical SchoolCharlestownMassachusetts
| | - Kallirroi Retzepi
- Psychiatric Neuroimaging, Department of PsychiatryMassachusetts General Hospital, Harvard Medical SchoolCharlestownMassachusetts
- Laboratory for Computational NeuroimagingAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical SchoolCharlestownMassachusetts
| | - Victor Castro
- Research Computing, Partners Healthcare, 1 Constitution CenterCharlestownMassachusetts
- Laboratory of Computer ScienceMassachusetts General Hospital, Harvard Medical SchoolBostonMassachusetts
| | - Sara V. Bates
- Division of Newborn Medicine, Department of PediatricsMassachusetts General Hospital for Children, Harvard Medical SchoolBostonMassachusetts
| | | | - Katherine P. Andriole
- Department of RadiologyBrigham and Women's Hospital, Harvard Medical SchoolBostonMassachusetts
| | - Shawn N. Murphy
- Research Computing, Partners Healthcare, 1 Constitution CenterCharlestownMassachusetts
- Laboratory of Computer ScienceMassachusetts General Hospital, Harvard Medical SchoolBostonMassachusetts
| | - Randy L. Gollub
- Psychiatric Neuroimaging, Department of PsychiatryMassachusetts General Hospital, Harvard Medical SchoolCharlestownMassachusetts
- Laboratory for Computational NeuroimagingAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical SchoolCharlestownMassachusetts
| | - Patricia Ellen Grant
- Fetal‐Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical SchoolBostonMassachusetts
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19
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Khosroshahi HT, Abedi B, Daneshvar S, Sarbaz Y, Shakeri Bavil A. Future of the Renal Biopsy: Time to Change the Conventional Modality Using Nanotechnology. Int J Biomed Imaging 2017; 2017:6141734. [PMID: 28316612 PMCID: PMC5337808 DOI: 10.1155/2017/6141734] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2016] [Revised: 12/20/2016] [Accepted: 01/05/2017] [Indexed: 12/19/2022] Open
Abstract
At the present time, imaging guided renal biopsy is used to provide diagnoses in most types of primary and secondary renal diseases. It has been claimed that renal biopsy can provide a link between diagnosis of renal disease and its pathological conditions. However, sometimes there is a considerable mismatch between patient renal outcome and pathological findings in renal biopsy. This is the time to address some new diagnostic methods to resolve the insufficiency of conventional percutaneous guided renal biopsy. Nanotechnology is still in its infancy in renal imaging; however, it seems that it is the next step in renal biopsy, providing solutions to the limitations of conventional modalities.
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Affiliation(s)
| | - Behzad Abedi
- Medical Bioengineering Department, School of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Sabalan Daneshvar
- Medical Bioengineering Department, School of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
- Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran
| | - Yashar Sarbaz
- School of Engineering-Emerging Technologies, University of Tabriz, Tabriz, Iran
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20
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Laviña B. Brain Vascular Imaging Techniques. Int J Mol Sci 2016; 18:ijms18010070. [PMID: 28042833 PMCID: PMC5297705 DOI: 10.3390/ijms18010070] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2016] [Revised: 12/13/2016] [Accepted: 12/26/2016] [Indexed: 12/13/2022] Open
Abstract
Recent major improvements in a number of imaging techniques now allow for the study of the brain in ways that could not be considered previously. Researchers today have well-developed tools to specifically examine the dynamic nature of the blood vessels in the brain during development and adulthood; as well as to observe the vascular responses in disease situations in vivo. This review offers a concise summary and brief historical reference of different imaging techniques and how these tools can be applied to study the brain vasculature and the blood-brain barrier integrity in both healthy and disease states. Moreover, it offers an overview on available transgenic animal models to study vascular biology and a description of useful online brain atlases.
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Affiliation(s)
- Bàrbara Laviña
- Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, 75185 Uppsala, Sweden.
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21
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Girard R, Zeineddine HA, Orsbon C, Tan H, Moore T, Hobson N, Shenkar R, Lightle R, Shi C, Fam MD, Cao Y, Shen L, Neander AI, Rorrer A, Gallione C, Tang AT, Kahn ML, Marchuk DA, Luo ZX, Awad IA. Micro-computed tomography in murine models of cerebral cavernous malformations as a paradigm for brain disease. J Neurosci Methods 2016; 271:14-24. [PMID: 27345427 DOI: 10.1016/j.jneumeth.2016.06.021] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2016] [Revised: 06/20/2016] [Accepted: 06/22/2016] [Indexed: 12/12/2022]
Abstract
BACKGROUND Cerebral cavernous malformations (CCMs) are hemorrhagic brain lesions, where murine models allow major mechanistic discoveries, ushering genetic manipulations and preclinical assessment of therapies. Histology for lesion counting and morphometry is essential yet tedious and time consuming. We herein describe the application and validations of X-ray micro-computed tomography (micro-CT), a non-destructive technique allowing three-dimensional CCM lesion count and volumetric measurements, in transgenic murine brains. NEW METHOD We hereby describe a new contrast soaking technique not previously applied to murine models of CCM disease. Volumetric segmentation and image processing paradigm allowed for histologic correlations and quantitative validations not previously reported with the micro-CT technique in brain vascular disease. RESULTS Twenty-two hyper-dense areas on micro-CT images, identified as CCM lesions, were matched by histology. The inter-rater reliability analysis showed strong consistency in the CCM lesion identification and staging (K=0.89, p<0.0001) between the two techniques. Micro-CT revealed a 29% greater CCM lesion detection efficiency, and 80% improved time efficiency. COMPARISON WITH EXISTING METHOD Serial integrated lesional area by histology showed a strong positive correlation with micro-CT estimated volume (r(2)=0.84, p<0.0001). CONCLUSIONS Micro-CT allows high throughput assessment of lesion count and volume in pre-clinical murine models of CCM. This approach complements histology with improved accuracy and efficiency, and can be applied for lesion burden assessment in other brain diseases.
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Affiliation(s)
- Romuald Girard
- Neurovascular Surgery Program, Section of Neurosurgery, The University of Chicago Medicine and Biological Sciences, Chicago, IL, USA
| | - Hussein A Zeineddine
- Neurovascular Surgery Program, Section of Neurosurgery, The University of Chicago Medicine and Biological Sciences, Chicago, IL, USA
| | - Courtney Orsbon
- Department of Organismal Biology and Anatomy, The University of Chicago Medicine and Biological Sciences, Chicago, IL, USA
| | - Huan Tan
- Neurovascular Surgery Program, Section of Neurosurgery, The University of Chicago Medicine and Biological Sciences, Chicago, IL, USA
| | - Thomas Moore
- Neurovascular Surgery Program, Section of Neurosurgery, The University of Chicago Medicine and Biological Sciences, Chicago, IL, USA
| | - Nick Hobson
- Neurovascular Surgery Program, Section of Neurosurgery, The University of Chicago Medicine and Biological Sciences, Chicago, IL, USA
| | - Robert Shenkar
- Neurovascular Surgery Program, Section of Neurosurgery, The University of Chicago Medicine and Biological Sciences, Chicago, IL, USA
| | - Rhonda Lightle
- Neurovascular Surgery Program, Section of Neurosurgery, The University of Chicago Medicine and Biological Sciences, Chicago, IL, USA
| | - Changbin Shi
- Neurovascular Surgery Program, Section of Neurosurgery, The University of Chicago Medicine and Biological Sciences, Chicago, IL, USA
| | - Maged D Fam
- Neurovascular Surgery Program, Section of Neurosurgery, The University of Chicago Medicine and Biological Sciences, Chicago, IL, USA
| | - Ying Cao
- Neurovascular Surgery Program, Section of Neurosurgery, The University of Chicago Medicine and Biological Sciences, Chicago, IL, USA
| | - Le Shen
- Neurovascular Surgery Program, Section of Neurosurgery, The University of Chicago Medicine and Biological Sciences, Chicago, IL, USA; Department of Pathology, The University of Chicago Medicine and Biological Sciences, Chicago, IL, USA
| | - April I Neander
- Department of Organismal Biology and Anatomy, The University of Chicago Medicine and Biological Sciences, Chicago, IL, USA
| | - Autumn Rorrer
- Molecular Genetics and Microbiology Department, Duke University Medical Center, Durham, NC, USA
| | - Carol Gallione
- Molecular Genetics and Microbiology Department, Duke University Medical Center, Durham, NC, USA
| | - Alan T Tang
- Department of Medicine and Cardiovascular Institute, University of Pennsylvania, Philadelphia, PA, USA
| | - Mark L Kahn
- Department of Medicine and Cardiovascular Institute, University of Pennsylvania, Philadelphia, PA, USA
| | - Douglas A Marchuk
- Molecular Genetics and Microbiology Department, Duke University Medical Center, Durham, NC, USA
| | - Zhe-Xi Luo
- Department of Organismal Biology and Anatomy, The University of Chicago Medicine and Biological Sciences, Chicago, IL, USA
| | - Issam A Awad
- Neurovascular Surgery Program, Section of Neurosurgery, The University of Chicago Medicine and Biological Sciences, Chicago, IL, USA.
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