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Zeng C, Chen Z, Yang H, Fan Y, Fei L, Chen X, Zhang M. Advanced high resolution three-dimensional imaging to visualize the cerebral neurovascular network in stroke. Int J Biol Sci 2022; 18:552-571. [PMID: 35002509 PMCID: PMC8741851 DOI: 10.7150/ijbs.64373] [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: 07/01/2021] [Accepted: 10/28/2021] [Indexed: 11/05/2022] Open
Abstract
As an important method to accurately and timely diagnose stroke and study physiological characteristics and pathological mechanism in it, imaging technology has gone through more than a century of iteration. The interaction of cells densely packed in the brain is three-dimensional (3D), but the flat images brought by traditional visualization methods show only a few cells and ignore connections outside the slices. The increased resolution allows for a more microscopic and underlying view. Today's intuitive 3D imagings of micron or even nanometer scale are showing its essentiality in stroke. In recent years, 3D imaging technology has gained rapid development. With the overhaul of imaging mediums and the innovation of imaging mode, the resolution has been significantly improved, endowing researchers with the capability of holistic observation of a large volume, real-time monitoring of tiny voxels, and quantitative measurement of spatial parameters. In this review, we will summarize the current methods of high-resolution 3D imaging applied in stroke.
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Affiliation(s)
- Chudai Zeng
- Department of Neurology, Xiangya Hospital of Central South University, Changsha, Hunan, China, 410008.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China, 410008
| | - Zhuohui Chen
- Department of Neurology, Xiangya Hospital of Central South University, Changsha, Hunan, China, 410008.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China, 410008
| | - Haojun Yang
- Department of Neurology, Xiangya Hospital of Central South University, Changsha, Hunan, China, 410008.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China, 410008
| | - Yishu Fan
- Department of Neurology, Xiangya Hospital of Central South University, Changsha, Hunan, China, 410008.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China, 410008
| | - Lujing Fei
- Department of Neurology, Xiangya Hospital of Central South University, Changsha, Hunan, China, 410008.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China, 410008
| | - Xinghang Chen
- Department of Neurology, Xiangya Hospital of Central South University, Changsha, Hunan, China, 410008.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China, 410008
| | - Mengqi Zhang
- Department of Neurology, Xiangya Hospital of Central South University, Changsha, Hunan, China, 410008.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China, 410008
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Xin X, Xu H, Jian J, Lv W, Zhao Y, Li Y, Zhao X, Hu C. A method of three-dimensional branching geometry to differentiate the intrahepatic vascular type in early-stage liver fibrosis using X-ray phase-contrast CT. Eur J Radiol 2022; 148:110178. [DOI: 10.1016/j.ejrad.2022.110178] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Revised: 01/09/2022] [Accepted: 01/19/2022] [Indexed: 12/14/2022]
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Guo Z, Li C, Cao Y, Jiang L, Zhang Y, Li P, Zhou Y, Duan C, Hu J, Lu H. 3D visualization and morphometric analysis of spinal motion segments and vascular networks: A synchrotron radiation-based micro-CT study in mice. J Anat 2022; 240:268-278. [PMID: 34622448 PMCID: PMC8742973 DOI: 10.1111/joa.13556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 08/08/2021] [Accepted: 09/14/2021] [Indexed: 11/28/2022] Open
Abstract
The structure of spinal motion segments and spinal vasculature is complicated. Visualizing the three-dimensional (3D) structure of the spine may provide guidance for spine surgery. However, conventional imaging techniques fail to simultaneously obtain 3D images of soft and hard tissues, and achieving such coimaging states of the spine and its vascular networks remains a challenge. Synchrotron radiation micro-CT (SRμCT) provides a relatively effective and novel method of acquiring detailed 3D information. In this study, specimens of the thoracic spine were obtained from six mice. SRμCT was employed to acquire 3D images of the structure, and histologic staining was performed for comparisons with the SRμCT images. The whole spinal motion segments and the spinal vascular network were simultaneously explored at high resolution. The mean thickness of the cartilaginous end plates (CEPs) and the volume of the intervertebral discs (IVDs) were calculated. The surface of the CEPs and the facet joint cartilage (FJC) were presented as heat maps, which allowed for direct visualization of the thickness distribution. Regional division revealed heterogeneity among the ventral, central, and dorsal parts of the CEPs and between the superior and inferior parts of the facet processes. Moreover, the connections and spatial morphology of the spinal vascular network were visualized. Our study indicates that SRμCT imaging is an ideal method for high-resolution visualization and 3D morphometric analysis of the whole spinal motion segments and spinal vascular network.
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Affiliation(s)
- Zhu Guo
- Department of Spine Surgery and OrthopaedicsXiangya HospitalCentral South UniversityChangshaChina
- Spine Surgery Department of the Affiliated Hospital of Qingdao UniversityQingdaoChina
| | - Chengjun Li
- Department of Spine Surgery and OrthopaedicsXiangya HospitalCentral South UniversityChangshaChina
- National Clinical Research Center for Geriatric DisordersXiangya HospitalCentral South UniversityChangshaChina
- Key Laboratory of Organ Injury, Aging and Regenerative Medicine of Hunan ProvinceChangshaChina
| | - Yong Cao
- Department of Spine Surgery and OrthopaedicsXiangya HospitalCentral South UniversityChangshaChina
- National Clinical Research Center for Geriatric DisordersXiangya HospitalCentral South UniversityChangshaChina
- Key Laboratory of Organ Injury, Aging and Regenerative Medicine of Hunan ProvinceChangshaChina
| | - Liyuan Jiang
- Department of Spine Surgery and OrthopaedicsXiangya HospitalCentral South UniversityChangshaChina
- National Clinical Research Center for Geriatric DisordersXiangya HospitalCentral South UniversityChangshaChina
- Key Laboratory of Organ Injury, Aging and Regenerative Medicine of Hunan ProvinceChangshaChina
| | - Yi Zhang
- Department of Sports MedicineAffiliated Hospital of Qingdao UniversityQingdaoChina
- Traumatic Orthopaedic Institute of Shandong ProvinceAffiliated Hospital of Qingdao UniversityQingdaoChina
| | - Ping Li
- Department of ObstetricsXiangya HospitalCentral South UniversityChangshaChina
| | - Yongchun Zhou
- Department of OrthopedicShanxi Provincial People’s HospitalXi’anChina
| | - Chunyue Duan
- Department of Spine Surgery and OrthopaedicsXiangya HospitalCentral South UniversityChangshaChina
- National Clinical Research Center for Geriatric DisordersXiangya HospitalCentral South UniversityChangshaChina
| | - Jianzhong Hu
- Department of Spine Surgery and OrthopaedicsXiangya HospitalCentral South UniversityChangshaChina
- National Clinical Research Center for Geriatric DisordersXiangya HospitalCentral South UniversityChangshaChina
- Key Laboratory of Organ Injury, Aging and Regenerative Medicine of Hunan ProvinceChangshaChina
| | - Hongbin Lu
- Key Laboratory of Organ Injury, Aging and Regenerative Medicine of Hunan ProvinceChangshaChina
- Department of Sports MedicineResearch Centre of Sports MedicineXiangya HospitalCentral South UniversityChangshaChina
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Wang Z, Wang X, Wan JB, Xu F, Zhao N, Chen M. Optical Imaging in the Second Near Infrared Window for Vascular Bioimaging. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2021; 17:e2103780. [PMID: 34643028 DOI: 10.1002/smll.202103780] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 08/17/2021] [Indexed: 06/13/2023]
Abstract
Optical imaging in the second near infrared region (NIR-II, 1000-1700 nm) provides higher resolution and deeper penetration depth for accurate and real-time vascular anatomy, blood dynamics, and function information, effectively contributing to the early diagnosis and curative effect assessment of vascular anomalies. Currently, NIR-II optical imaging demonstrates encouraging results including long-term monitoring of vascular injury and regeneration, real-time feedback of blood perfusion, tracking of lymphatic metastases, and imaging-guided surgery. This review summarizes the latest progresses of NIR-II optical imaging for angiography including fluorescence imaging, photoacoustic (PA) imaging, and optical coherence tomography (OCT). The development of current NIR-II fluorescence, PA, and OCT probes (i.e., single-walled carbon nanotubes, quantum dots, rare earth doped nanoparticles, noble metal-based nanostructures, organic dye-based probes, and semiconductor polymer nanoparticles), highlighting probe optimization regarding high brightness, longwave emission, and biocompatibility through chemical modification or nanotechnology, is first introduced. The application of NIR-II probes in angiography based on the classification of peripheral vascular, cerebrovascular, tumor vessel, and cardiovascular, is then reviewed. Major challenges and opportunities in the NIR-II optical imaging for vascular imaging are finally discussed.
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Affiliation(s)
- Zi'an Wang
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau SAR, 999078, China
| | - Xuan Wang
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau SAR, 999078, China
| | - Jian-Bo Wan
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau SAR, 999078, China
| | - Fujian Xu
- Key Laboratory of Biomedical Materials of Natural Macromolecules (Beijing University of Chemical Technology), Beijing Laboratory of Biomedical Materials, Beijing University of Chemical Technology, Beijing, 100000, China
| | - Nana Zhao
- Key Laboratory of Biomedical Materials of Natural Macromolecules (Beijing University of Chemical Technology), Beijing Laboratory of Biomedical Materials, Beijing University of Chemical Technology, Beijing, 100000, China
| | - Meiwan Chen
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau SAR, 999078, China
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Simultaneous 3D Visualization of the Microvascular and Neural Network in Mouse Spinal Cord Using Synchrotron Radiation Micro-Computed Tomography. Neurosci Bull 2021; 37:1469-1480. [PMID: 34146232 PMCID: PMC8490558 DOI: 10.1007/s12264-021-00715-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Accepted: 02/06/2021] [Indexed: 11/01/2022] Open
Abstract
Effective methods for visualizing neurovascular morphology are essential for understanding the normal spinal cord and the morphological alterations associated with diseases. However, ideal techniques for simultaneously imaging neurovascular structure in a broad region of a specimen are still lacking. In this study, we combined Golgi staining with angiography and synchrotron radiation micro-computed tomography (SRμCT) to visualize the 3D neurovascular network in the mouse spinal cord. Using our method, the 3D neurons, nerve fibers, and vasculature in a broad region could be visualized in the same image at cellular resolution without destructive sectioning. Besides, we found that the 3D morphology of neurons, nerve fiber tracts, and vasculature visualized by SRμCT were highly consistent with that visualized using the histological method. Moreover, the 3D neurovascular structure could be quantitatively evaluated by the combined methodology. The method shown here will be useful in fundamental neuroscience studies.
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Song M. Imaging Three-Dimensional Microvascular Networks of Brain with Synchrotron Radiation Microangiography. Neurosci Bull 2020; 36:331-332. [PMID: 32239457 DOI: 10.1007/s12264-020-00491-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Accepted: 03/13/2020] [Indexed: 10/24/2022] Open
Affiliation(s)
- Ming Song
- National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. .,Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. .,University of the Chinese Academy of Sciences, Beijing, 100049, China.
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