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Gunaseelan I, Amin Zadeh A, Arhatari B, Maksimenko A, Hall C, Hausermann D, Kumar B, Fox J, Quiney H, Lockie D, Lewis S, Brennan P, Gureyev T, Tavakoli Taba S. Propagation-based phase-contrast imaging of the breast: image quality and the effect of X-ray energy and radiation dose. Br J Radiol 2023; 96:20221189. [PMID: 37665247 PMCID: PMC10546460 DOI: 10.1259/bjr.20221189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 07/18/2023] [Accepted: 07/20/2023] [Indexed: 09/05/2023] Open
Abstract
OBJECTIVES Propagation-based phase-contrast computed tomography (PB-CT) is a new imaging technique that exploits refractive and absorption properties of X-rays to enhance soft tissue contrast and improve image quality. This study compares image quality of PB-CT and absorption-based CT (AB-CT) for breast imaging while exploring X-ray energy and radiation dose. METHODS Thirty-nine mastectomy samples were scanned at energy levels of 28-34keV using a flat panel detector at radiation dose levels of 4mGy and 2mGy. Image quality was assessed using signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), spatial resolution (res) and visibility (vis). Statistical analysis was performed to compare PB-CT images against their corresponding AB-CT images scanned at 32keV and 4mGy. RESULTS The PB-CT images at 4mGy, across nearly all energy levels, demonstrated superior image quality than AB-CT images at the same dose. At some energy levels, the 2mGy PB-CT images also showed better image quality in terms of CNR/Res and vis compared to the 4mGy AB-CT images. At both investigated doses, SNR and SNR/res were found to have a statistically significant difference across all energy levels. The difference in vis was statistically significant at some energy levels. CONCLUSION This study demonstrates superior image quality of PB-CT over AB-CT, with X-ray energy playing a crucial role in determining image quality parameters. ADVANCES IN KNOWLEDGE Our findings reveal that standard dose PB-CT outperforms standard dose AB-CT across all image quality metrics. Additionally, we demonstrate that low dose PB-CT can produce superior images compared to standard dose AB-CT in terms of CNR/Res and vis.
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Affiliation(s)
- Indusaa Gunaseelan
- Discipline of Medical Imaging Sciences, Faculty of Medicine and Health, The University of Sydney, NSW, Camperdown, Australia
| | | | - Benedicta Arhatari
- Australian Synchrotron, Australian National Science and Technology Organisation, Clayton, VIC, Australia
| | - Anton Maksimenko
- Australian Synchrotron, Australian National Science and Technology Organisation, Clayton, VIC, Australia
| | - Christopher Hall
- Australian Synchrotron, Australian National Science and Technology Organisation, Clayton, VIC, Australia
| | - Daniel Hausermann
- Australian Synchrotron, Australian National Science and Technology Organisation, Clayton, VIC, Australia
| | - Beena Kumar
- Monash Health Pathology Monash Health, Clayton, VIC, Australia
| | - Jane Fox
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC, Australia
| | - Harry Quiney
- School of Physics, The University of Melbourne, Parkville, VIC, Australia
| | - Darren Lockie
- Maroondah BreastScreen, Eastern Health, Ringwood, VIC, Australia
| | - Sarah Lewis
- Discipline of Medical Imaging Sciences, Faculty of Medicine and Health, The University of Sydney, NSW, Camperdown, Australia
| | - Patrick Brennan
- Discipline of Medical Imaging Sciences, Faculty of Medicine and Health, The University of Sydney, NSW, Camperdown, Australia
| | - Timur Gureyev
- School of Physics, The University of Melbourne, Parkville, VIC, Australia
| | - Seyedamir Tavakoli Taba
- Discipline of Medical Imaging Sciences, Faculty of Medicine and Health, The University of Sydney, NSW, Camperdown, Australia
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2
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Arana Peña LM, Donato S, Bonazza D, Brombal L, Martellani F, Arfelli F, Tromba G, Longo R. Multiscale X-ray phase-contrast tomography: From breast CT to micro-CT for virtual histology. Phys Med 2023; 112:102640. [PMID: 37441823 DOI: 10.1016/j.ejmp.2023.102640] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 05/31/2023] [Accepted: 07/04/2023] [Indexed: 07/15/2023] Open
Abstract
Phase-contrast imaging techniques address the issue of poor soft-tissue contrast encountered in traditional X-ray imaging. This can be accomplished with the propagation-based phase-contrast technique by employing a coherent photon beam, which is available at synchrotron facilities, as well as long sample-to-detector distances. This study demonstrates the optimization of propagation-based phase-contrast computed tomography (CT) techniques for multiscale X-ray imaging of the breast at the Elettra synchrotron facility (Trieste, Italy). Two whole breast mastectomy samples were acquired with propagation-based breast-CT using a monochromatic synchrotron beam at a pixel size of 60 µm. Paraffin-embedded blocks sampled from the same tissues were scanned with propagation-based micro-CT imaging using a polychromatic synchrotron beam at a pixel size of 4 µm. Images of both methodologies and of the same sample were spatially registered. The resulting images showed the transition from whole breast imaging with propagation-based breast-CT methodology to virtual histology with propagation-based micro-CT imaging of the same sample. Additionally, conventional histological images were matched to virtual histology images. Phase-contrast images offer a high resolution with low noise, which allows for a highly precise match between virtual and conventional histology. Furthermore, those techniques allow a clear discernment of breast structures, lesions, and microcalcifications, being a promising clinically-compatible tool for breast imaging in a multiscale approach, to either assist in the detection of cancer in full volume breast samples or to complement structure identification in paraffin-embedded breast tissue samples.
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Affiliation(s)
- L M Arana Peña
- Department of Physics, University of Trieste, Via Alfonso Valerio 2, Trieste I-34127, Italy; INFN Division of Trieste, 34127 Trieste, Italy; Elettra-Sincrotrone Trieste, SS 14 Km 163,5, AREA Science Park, 34149 Basovizza, (Trieste), Italy
| | - S Donato
- Department of Physics and STAR Lab, University of Calabria, Via P. Bucci 31C, Rende, (CS), I-87036, Italy; INFN Division of Frascati, Via E. Fermi 54, Frascati I-00044, Italy.
| | - D Bonazza
- Unit of Surgical Pathology, Cattinara Hospital, Azienda Sanitaria Universitaria Giuliana Isontina (ASUGI), Strada di Fiume, 447, Trieste I-34149, Italy
| | - L Brombal
- Department of Physics, University of Trieste, Via Alfonso Valerio 2, Trieste I-34127, Italy; INFN Division of Trieste, 34127 Trieste, Italy
| | - F Martellani
- Unit of Surgical Pathology, Cattinara Hospital, Azienda Sanitaria Universitaria Giuliana Isontina (ASUGI), Strada di Fiume, 447, Trieste I-34149, Italy
| | - F Arfelli
- Department of Physics, University of Trieste, Via Alfonso Valerio 2, Trieste I-34127, Italy; INFN Division of Trieste, 34127 Trieste, Italy
| | - G Tromba
- Elettra-Sincrotrone Trieste, SS 14 Km 163,5, AREA Science Park, 34149 Basovizza, (Trieste), Italy
| | - R Longo
- Department of Physics, University of Trieste, Via Alfonso Valerio 2, Trieste I-34127, Italy; INFN Division of Trieste, 34127 Trieste, Italy
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3
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Duan X, Li N, Cooper DML, Ding XF, Chen X, Zhu N. Low-density tissue scaffold imaging by synchrotron radiation propagation-based imaging computed tomography with helical acquisition mode. JOURNAL OF SYNCHROTRON RADIATION 2023; 30:417-429. [PMID: 36891855 PMCID: PMC10000810 DOI: 10.1107/s1600577523000772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 01/29/2023] [Indexed: 06/18/2023]
Abstract
Visualization of low-density tissue scaffolds made from hydrogels is important yet challenging in tissue engineering and regenerative medicine (TERM). For this, synchrotron radiation propagation-based imaging computed tomography (SR-PBI-CT) has great potential, but is limited due to the ring artifacts commonly observed in SR-PBI-CT images. To address this issue, this study focuses on the integration of SR-PBI-CT and helical acquisition mode (i.e. SR-PBI-HCT) to visualize hydrogel scaffolds. The influence of key imaging parameters on the image quality of hydrogel scaffolds was investigated, including the helical pitch (p), photon energy (E) and the number of acquisition projections per rotation/revolution (Np), and, on this basis, those parameters were optimized to improve image quality and to reduce noise level and artifacts. The results illustrate that SR-PBI-HCT imaging shows impressive advantages in avoiding ring artifacts with p = 1.5, E = 30 keV and Np = 500 for the visualization of hydrogel scaffolds in vitro. Furthermore, the results also demonstrate that hydrogel scaffolds can be visualized using SR-PBI-HCT with good contrast while at a low radiation dose, i.e. 342 mGy (voxel size of 26 µm, suitable for in vivo imaging). This paper presents a systematic study on hydrogel scaffold imaging using SR-PBI-HCT and the results reveal that SR-PBI-HCT is a powerful tool for visualizing and characterizing low-density scaffolds with a high image quality in vitro. This work represents a significant advance toward the non-invasive in vivo visualization and characterization of hydrogel scaffolds at a suitable radiation dose.
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Affiliation(s)
- Xiaoman Duan
- Division of Biomedical Engineering, College of Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada
| | - Naitao Li
- Division of Biomedical Engineering, College of Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada
| | - David M. L. Cooper
- Department of Anatomy, Physiology and Pharmacology, College of Medicine, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada
| | - Xiao Fan Ding
- Division of Biomedical Engineering, College of Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada
| | - Xiongbiao Chen
- Division of Biomedical Engineering, College of Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada
- Department of Mechanical Engineering, College of Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada
| | - Ning Zhu
- Division of Biomedical Engineering, College of Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada
- Department of Chemical and Biological Engineering, College of Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada
- Canadian Light Source, Saskatoon, SK S7N 2V3, Canada
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4
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Vommaro ML, Donato S, Lo LK, Brandmayr P, Giglio A. Anatomical study of the red flour beetle using synchrotron radiation X-ray phase-contrast micro-tomography. J Anat 2023; 242:510-524. [PMID: 36417320 PMCID: PMC9919503 DOI: 10.1111/joa.13796] [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: 07/31/2022] [Revised: 11/07/2022] [Accepted: 11/10/2022] [Indexed: 11/24/2022] Open
Abstract
Synchrotron X-ray phase-contrast microtomography (SR-PhC micro-CT) is well established, fast and non-destructive imaging technique for data acquisition that is currently being used to obtain new insights into insect anatomy and function in physiological, morphological and phylogenetic studies. In this study, we described in situ the internal organs of the red flour beetle Tribolium castaneum Herbst 1797, a widespread pest of cereals and stored food causing serious damage to the human economy. Two-dimensional virtual sections and volumetric reconstructions of the nervous, alimentary and reproductive systems were carried out in both sexes. The results provided a comprehensive overview of the morphological characteristics of this species, such as the different maturation stages of ovarioles and the realistic location, size and shape of internal organs. Given the great interest in this model species in experimental biology and forensic entomology, complete knowledge of the general anatomy is required for future functional applications in pest control and experimental studies. In addition, this study confirms SR-PhC micro-CT as a powerful and innovative tool in entomology, particularly suitable for small species and chitinized structures that are difficult to analyse using conventional dissection and histological methods.
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Affiliation(s)
- Maria Luigia Vommaro
- Department of Biology, Ecology and Earth ScienceUniversity of CalabriaCosenzaItaly
| | - Sandro Donato
- Department of PhysicsUniversity of CalabriaCosenzaItaly
- Division of Frascati, Istituto Nazionale di Fisica NucleareRomeItaly
| | - Lai Ka Lo
- Animal Evolutionary Ecology GroupInstitute for Evolution and Biodiversity, University of MünsterMünsterGermany
| | - Pietro Brandmayr
- Department of Biology, Ecology and Earth ScienceUniversity of CalabriaCosenzaItaly
| | - Anita Giglio
- Department of Biology, Ecology and Earth ScienceUniversity of CalabriaCosenzaItaly
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5
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Exploring Compound Eyes in Adults of Four Coleopteran Species Using Synchrotron X-ray Phase-Contrast Microtomography (SR-PhC Micro-CT). Life (Basel) 2022; 12:life12050741. [PMID: 35629408 PMCID: PMC9145526 DOI: 10.3390/life12050741] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 05/13/2022] [Accepted: 05/15/2022] [Indexed: 11/17/2022] Open
Abstract
Compound eyes in insects are primary visual receptors of surrounding environments. They show considerable design variations, from the apposition vision of most day-active species to the superposition vision of nocturnal insects, that sacrifice resolution to increase sensitivity and are able to overcome the challenges of vision during lightless hours or in dim habitats. In this study, Synchrotron radiation X-ray phase-contrast microtomography was used to describe the eye structure of four coleopteran species, showing species-specific habitat demands and different feeding habits, namely the saproxylic Clinidium canaliculatum (Costa, 1839) (Rhysodidae), the omnivorous Tenebrio molitor (Linnaeus, 1758) and Tribolium castaneum (Herbest, 1797) (Tenebrionidae), and the generalist predator Pterostichus melas italicus (Dejean, 1828) (Carabidae). Virtual sections and 3D volume renderings of the heads were performed to evaluate the application and limitations of this technique for studying the internal dioptrical and sensorial parts of eyes, and to avoid time-consuming methods such as ultrastructural analyses and classic histology. Morphological parameters such as the area of the corneal facet lens and cornea, interocular distance, facet density and corneal lens thickness were measured, and differences among the studied species were discussed concerning the differences in lifestyle and habitat preferences making different demands on the visual system. Our imaging results provide, for the first time, morphological descriptions of the compound eyes in these species, supplementing their ecological and behavioural traits.
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Donato S, Brombal L, Arana Peña LM, Arfelli F, Contillo A, Delogu P, Di Lillo F, Di Trapani V, Fanti V, Longo R, Oliva P, Rigon L, Stori L, Tromba G, Golosio B. Optimization of a customized simultaneous algebraic reconstruction technique algorithm for phase-contrast breast computed tomography. Phys Med Biol 2022; 67. [DOI: 10.1088/1361-6560/ac65d4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 04/08/2022] [Indexed: 12/22/2022]
Abstract
Abstract
Objective. To introduce the optimization of a customized GPU-based simultaneous algebraic reconstruction technique (cSART) in the field of phase-contrast breast computed tomography (bCT). The presented algorithm features a 3D bilateral regularization filter that can be tuned to yield optimal performance for clinical image visualization and tissues segmentation. Approach. Acquisitions of a dedicated test object and a breast specimen were performed at Elettra, the Italian synchrotron radiation (SR) facility (Trieste, Italy) using a large area CdTe single-photon counting detector. Tomographic images were obtained at 5 mGy of mean glandular dose, with a 32 keV monochromatic x-ray beam in the free-space propagation mode. Three independent algorithms parameters were optimized by using contrast-to-noise ratio (CNR), spatial resolution, and noise texture metrics. The results obtained with the cSART algorithm were compared with conventional SART and filtered back projection (FBP) reconstructions. Image segmentation was performed both with gray scale-based and supervised machine-learning approaches. Main results. Compared to conventional FBP reconstructions, results indicate that the proposed algorithm can yield images with a higher CNR (by 35% or more), retaining a high spatial resolution while preserving their textural properties. Alternatively, at the cost of an increased image ‘patchiness’, the cSART can be tuned to achieve a high-quality tissue segmentation, suggesting the possibility of performing an accurate glandularity estimation potentially of use in the realization of realistic 3D breast models starting from low radiation dose images. Significance. The study indicates that dedicated iterative reconstruction techniques could provide significant advantages in phase-contrast bCT imaging. The proposed algorithm offers great flexibility in terms of image reconstruction optimization, either toward diagnostic evaluation or image segmentation.
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7
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Virtual sections and 3D reconstructions of female reproductive system in a carabid beetle using synchrotron X-ray phase-contrast microtomography. ZOOL ANZ 2022. [DOI: 10.1016/j.jcz.2022.04.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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8
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Wan S, Arhatari BD, Nesterets YI, Mayo SC, Thompson D, Fox J, Kumar B, Prodanovic Z, Hausermann D, Maksimenko A, Hall C, Dimmock M, Pavlov KM, Lockie D, Rickard M, Gadomkar Z, Aminzadeh A, Vafa E, Peele A, Quiney HM, Lewis S, Gureyev TE, Brennan PC, Taba ST. Effect of x-ray energy on the radiological image quality in propagation-based phase-contrast computed tomography of the breast. J Med Imaging (Bellingham) 2021; 8:052108. [PMID: 34268442 DOI: 10.1117/1.jmi.8.5.052108] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Accepted: 06/28/2021] [Indexed: 01/22/2023] Open
Abstract
Purpose: Breast cancer is the most common cancer in women in developing and developed countries and is responsible for 15% of women's cancer deaths worldwide. Conventional absorption-based breast imaging techniques lack sufficient contrast for comprehensive diagnosis. Propagation-based phase-contrast computed tomography (PB-CT) is a developing technique that exploits a more contrast-sensitive property of x-rays: x-ray refraction. X-ray absorption, refraction, and contrast-to-noise in the corresponding images depend on the x-ray energy used, for the same/fixed radiation dose. The aim of this paper is to explore the relationship between x-ray energy and radiological image quality in PB-CT imaging. Approach: Thirty-nine mastectomy samples were scanned at the imaging and medical beamline at the Australian Synchrotron. Samples were scanned at various x-ray energies of 26, 28, 30, 32, 34, and 60 keV using a Hamamatsu Flat Panel detector at the same object-to-detector distance of 6 m and mean glandular dose of 4 mGy. A total of 132 image sets were produced for analysis. Seven observers rated PB-CT images against absorption-based CT (AB-CT) images of the same samples on a five-point scale. A visual grading characteristics (VGC) study was used to determine the difference in image quality. Results: PB-CT images produced at 28, 30, 32, and 34 keV x-ray energies demonstrated statistically significant higher image quality than reference AB-CT images. The optimum x-ray energy, 30 keV, displayed the largest area under the curve ( AUC VGC ) of 0.754 ( p = 0.009 ). This was followed by 32 keV ( AUC VGC = 0.731 , p ≤ 0.001 ), 34 keV ( AUC VGC = 0.723 , p ≤ 0.001 ), and 28 keV ( AUC VGC = 0.654 , p = 0.015 ). Conclusions: An optimum energy range (around 30 keV) in the PB-CT technique allows for higher image quality at a dose comparable to conventional mammographic techniques. This results in improved radiological image quality compared with conventional techniques, which may ultimately lead to higher diagnostic efficacy and a reduction in breast cancer mortalities.
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Affiliation(s)
- Sarina Wan
- University of Sydney, Faculty of Medicine and Health, Department of Medical Radiation Sciences, Lidcombe, Australia
| | - Benedicta D Arhatari
- Australian Synchrotron, ANSTO, Clayton, Australia.,University of Melbourne, School of Physics, Parkville, Australia
| | - Yakov I Nesterets
- Commonwealth Scientific and Industrial Research Organisation, Clayton, Australia.,University of New England, School of Science and Technology, Armidale, Australia
| | - Sheridan C Mayo
- Commonwealth Scientific and Industrial Research Organisation, Clayton, Australia
| | - Darren Thompson
- Commonwealth Scientific and Industrial Research Organisation, Clayton, Australia.,University of New England, School of Science and Technology, Armidale, Australia
| | - Jane Fox
- Monash University, Faculty of Medicine, Nursing and Health Sciences, Clayton, Australia.,Monash Health, Department of Pathology, Clayton, Australia
| | - Beena Kumar
- Monash Health, Department of Pathology, Clayton, Australia
| | | | | | | | | | - Matthew Dimmock
- Monash University, Faculty of Medicine, Nursing and Health Sciences, Clayton, Australia
| | - Konstantin M Pavlov
- University of New England, School of Science and Technology, Armidale, Australia.,University of Canterbury, School of Physical and Chemical Sciences, Christchurch, New Zealand.,Monash University, School of Physics and Astronomy, Clayton, Australia
| | - Darren Lockie
- Maroondah BreastScreen, Eastern Health, Ringwood, Australia
| | - Mary Rickard
- University of Sydney, Faculty of Medicine and Health, Department of Medical Radiation Sciences, Lidcombe, Australia
| | - Ziba Gadomkar
- University of Sydney, Faculty of Medicine and Health, Department of Medical Radiation Sciences, Lidcombe, Australia
| | - Alaleh Aminzadeh
- University of Melbourne, School of Physics, Parkville, Australia
| | - Elham Vafa
- University of Sydney, Faculty of Medicine and Health, Department of Medical Radiation Sciences, Lidcombe, Australia
| | - Andrew Peele
- Australian Synchrotron, ANSTO, Clayton, Australia
| | - Harry M Quiney
- University of Melbourne, School of Physics, Parkville, Australia
| | - Sarah Lewis
- University of Sydney, Faculty of Medicine and Health, Department of Medical Radiation Sciences, Lidcombe, Australia
| | - Timur E Gureyev
- University of Sydney, Faculty of Medicine and Health, Department of Medical Radiation Sciences, Lidcombe, Australia.,University of Melbourne, School of Physics, Parkville, Australia.,University of New England, School of Science and Technology, Armidale, Australia.,Monash University, School of Physics and Astronomy, Clayton, Australia
| | - Patrick C Brennan
- University of Sydney, Faculty of Medicine and Health, Department of Medical Radiation Sciences, Lidcombe, Australia
| | - Seyedamir Tavakoli Taba
- University of Sydney, Faculty of Medicine and Health, Department of Medical Radiation Sciences, Lidcombe, Australia
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9
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Brombal L, Arana Peña LM, Arfelli F, Longo R, Brun F, Contillo A, Di Lillo F, Tromba G, Di Trapani V, Donato S, Menk RH, Rigon L. Motion artifacts assessment and correction using optical tracking in synchrotron radiation breast CT. Med Phys 2021; 48:5343-5355. [PMID: 34252212 PMCID: PMC9291820 DOI: 10.1002/mp.15084] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 05/12/2021] [Accepted: 06/21/2021] [Indexed: 11/23/2022] Open
Abstract
Purpose The SYRMA‐3D collaboration is setting up a breast computed tomography (bCT) clinical program at the Elettra synchrotron radiation facility in Trieste, Italy. Unlike the few dedicated scanners available at hospitals, synchrotron radiation bCT requires the patient's rotation, which in turn implies a long scan duration (from tens of seconds to few minutes). At the same time, it allows the achievement of high spatial resolution. These features make synchrotron radiation bCT prone to motion artifacts. This article aims at assessing and compensating for motion artifacts through an optical tracking approach. Methods In this study, patients’ movements due to breathing have been first assessed on seven volunteers and then simulated during the CT scans of a breast phantom and a surgical specimen, by adding a periodic oscillatory motion (constant speed, 1 mm amplitude, 12 cycles/minute). CT scans were carried out at 28 keV with a mean glandular dose of 5 mGy. Motion artifacts were evaluated and a correction algorithm based on the optical tracking of fiducial marks was introduced. A quantitative analysis based on the structural similarity (SSIM) index and the normalized mean square error (nMSE) was performed on the reconstructed CT images. Results CT images reconstructed through the optical tracking procedure were found to be as good as the motionless reference image. Moreover, the analysis of SSIM and nMSE demonstrated that an uncorrected motion of the order of the system's point spread function (around 0.1 mm in the present case) can be tolerated. Conclusions Results suggest that a motion correction procedure based on an optical tracking system would be beneficial in synchrotron radiation bCT.
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Affiliation(s)
- Luca Brombal
- Department of Physics, University of Trieste, Trieste, Italy.,Division of Trieste, Istituto Nazionale di Fisica Nucleare, Trieste, Italy
| | - Lucia Mariel Arana Peña
- Department of Physics, University of Trieste, Trieste, Italy.,Division of Trieste, Istituto Nazionale di Fisica Nucleare, Trieste, Italy
| | - Fulvia Arfelli
- Department of Physics, University of Trieste, Trieste, Italy.,Division of Trieste, Istituto Nazionale di Fisica Nucleare, Trieste, Italy
| | - Renata Longo
- Department of Physics, University of Trieste, Trieste, Italy.,Division of Trieste, Istituto Nazionale di Fisica Nucleare, Trieste, Italy
| | - Francesco Brun
- Division of Trieste, Istituto Nazionale di Fisica Nucleare, Trieste, Italy.,Department of Engineering and Architecture, University of Trieste, Trieste, Italy
| | | | | | | | - Vittorio Di Trapani
- Department of Physical sciences, Earth and environment, University of Siena, Siena, Italy.,Division of Pisa, Istituto Nazionale di Fisica Nucleare, Pisa, Italy
| | - Sandro Donato
- Department of Physics, University of Calabria, Arcavacata di Rende, Cosenza, Italy.,Division of Frascati, Istituto Nazionale di Fisca Nucleare, Frascati, Rome, Italy
| | - Ralf Hendrik Menk
- Division of Trieste, Istituto Nazionale di Fisica Nucleare, Trieste, Italy.,Elettra-Sincrotrone Trieste S.C.p.A., Trieste, Italy.,Department of Medical Imaging, University of Saskatchewan, Saskatoon, Canada
| | - Luigi Rigon
- Department of Physics, University of Trieste, Trieste, Italy.,Division of Trieste, Istituto Nazionale di Fisica Nucleare, Trieste, Italy
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10
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Donato S, Vommaro ML, Tromba G, Giglio A. Synchrotron X-ray phase contrast micro tomography to explore the morphology of abdominal organs in Pterostichus melas italicus Dejean, 1828 (Coleoptera, Carabidae). ARTHROPOD STRUCTURE & DEVELOPMENT 2021; 62:101044. [PMID: 33743431 DOI: 10.1016/j.asd.2021.101044] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Revised: 02/16/2021] [Accepted: 02/16/2021] [Indexed: 06/12/2023]
Abstract
Micro-computer tomography imaging is a fast and non-destructive data acquisition technique which can replace or complement the traditional investigation methodologies used in entomology to study morphology. In this paper, Synchrotron Radiation X-ray Phase-Contrast micro tomography (SR-PhC micro-CT) was combined with histology and scanning electron microscopy (SEM) observations to describe the abdominal organs of Pterostichus melas italicus Dejean, 1828 (Coleoptera, Carabidae). This species was used as a representative model because of its ecological role as a generalist predator in agroecosystems. SR-PhC micro-CT allowed us to identify in situ abdominal structures including dorsal vessel, digestive tract with Malpighian tubules, male reproductive system, ganglia, fat bodies, pygidial glands, muscles and tracheae. The histology was performed to define the tissue organization of the digestive and reproductive systems. SR-PhC micro-CT and 3D rendering provided more accurate information on shape and size of organs than histological and SEM analyses, respectively. The finding of this study was to describe the anatomy and histology of organs involved in crucial life history traits, such as reproduction, nutrition and excretion. High quality images and the supplementary video represent a significant advance in knowledge of the carabid anatomy and are a baseline for future research.
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Affiliation(s)
- Sandro Donato
- Department of Physics, University of Calabria, Via Bucci, 87036 Arcavacata di Rende, Cosenza, Italy; Istituto Nazionale di Fisica Nucleare, Division of Frascati, Via Fermi, 54, 00044 Frascati, Rome, Italy; Elettra-Sincrotrone Trieste S.C.p.A., Strada Statale 14 - km 163,5 in AREA Science Park, 34149 Basovizza, Trieste, Italy
| | - Maria Luigia Vommaro
- Department of Biology, Ecology and Earth Science, University of Calabria, Via Bucci, 87036 Arcavacata di Rende, Cosenza, Italy.
| | - Giuliana Tromba
- Elettra-Sincrotrone Trieste S.C.p.A., Strada Statale 14 - km 163,5 in AREA Science Park, 34149 Basovizza, Trieste, Italy
| | - Anita Giglio
- Department of Biology, Ecology and Earth Science, University of Calabria, Via Bucci, 87036 Arcavacata di Rende, Cosenza, Italy
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