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Dullin C, D'Amico L, Saccomano G, Longo E, Wagner WL, Reiser J, Svetlove A, Albers J, Contillo A, Abrami A, Sturari L, Tromba G, Sodini N, Dreossi D. Novel setup for rapid phase contrast CT imaging of heavy and bulky specimens. JOURNAL OF SYNCHROTRON RADIATION 2023; 30:650-654. [PMID: 36952235 PMCID: PMC10161890 DOI: 10.1107/s1600577523001649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 02/23/2023] [Indexed: 05/06/2023]
Abstract
This work introduces a novel setup for computed tomography of heavy and bulky specimens at the SYRMEP beamline of the Italian synchrotron Elettra. All the key features of the setup are described and the first application to off-center computed tomography scanning of a human chest phantom (approximately 45 kg) as well as the first results for vertical helical acquisitions are discussed.
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Affiliation(s)
- Christian Dullin
- Institute for Diagnostic and Interventional Radiology, University Medical Center Goettingen, Goettingen, Germany
| | | | | | - Elena Longo
- Elettra-Synchrotrone Trieste SCpA, Trieste, Italy
| | - Willi L Wagner
- Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany
| | - Johanna Reiser
- Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany
| | - Angelika Svetlove
- Translational Molecular Imaging, Max Plank Institute for Multidisciplinary Sciences, Goettingen, Germany
| | - Jonas Albers
- Biological X-ray imaging, European Molecular Biology Laboratory, Hamburg Unit c/o DESY, Hamburg, Germany
| | | | | | - Luca Sturari
- Elettra-Synchrotrone Trieste SCpA, Trieste, Italy
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2
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Albers J, Wagner WL, Fiedler MO, Rothermel A, Wünnemann F, Di Lillo F, Dreossi D, Sodini N, Baratella E, Confalonieri M, Arfelli F, Kalenka A, Lotz J, Biederer J, Wielpütz MO, Kauczor HU, Alves F, Tromba G, Dullin C. High resolution propagation-based lung imaging at clinically relevant X-ray dose levels. Sci Rep 2023; 13:4788. [PMID: 36959233 PMCID: PMC10036329 DOI: 10.1038/s41598-023-30870-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 03/02/2023] [Indexed: 03/25/2023] Open
Abstract
Absorption-based clinical computed tomography (CT) is the current imaging method of choice in the diagnosis of lung diseases. Many pulmonary diseases are affecting microscopic structures of the lung, such as terminal bronchi, alveolar spaces, sublobular blood vessels or the pulmonary interstitial tissue. As spatial resolution in CT is limited by the clinically acceptable applied X-ray dose, a comprehensive diagnosis of conditions such as interstitial lung disease, idiopathic pulmonary fibrosis or the characterization of small pulmonary nodules is limited and may require additional validation by invasive lung biopsies. Propagation-based imaging (PBI) is a phase sensitive X-ray imaging technique capable of reaching high spatial resolutions at relatively low applied radiation dose levels. In this publication, we present technical refinements of PBI for the characterization of different artificial lung pathologies, mimicking clinically relevant patterns in ventilated fresh porcine lungs in a human-scale chest phantom. The combination of a very large propagation distance of 10.7 m and a photon counting detector with [Formula: see text] pixel size enabled high resolution PBI CT with significantly improved dose efficiency, measured by thermoluminescence detectors. Image quality was directly compared with state-of-the-art clinical CT. PBI with increased propagation distance was found to provide improved image quality at the same or even lower X-ray dose levels than clinical CT. By combining PBI with iodine k-edge subtraction imaging we further demonstrate that, the high quality of the calculated iodine concentration maps might be a potential tool for the analysis of lung perfusion in great detail. Our results indicate PBI to be of great value for accurate diagnosis of lung disease in patients as it allows to depict pathological lesions non-invasively at high resolution in 3D. This will especially benefit patients at high risk of complications from invasive lung biopsies such as in the setting of suspected idiopathic pulmonary fibrosis (IPF).
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Affiliation(s)
- Jonas Albers
- Department for Diagnostic and Interventional Radiology, University Medical Center Goettingen, Goettingen, Germany
- Biological X-ray imaging, European Molecular Biology Laboratory, Hamburg Unit c/o DESY, Hamburg, Germany
| | - Willi L Wagner
- Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany
- Translational Lung Research Center (TLRC), German Center for Lung Research (DZL), University Heidelberg, Heidelberg, Germany
| | - Mascha O Fiedler
- Translational Lung Research Center (TLRC), German Center for Lung Research (DZL), University Heidelberg, Heidelberg, Germany
- Department of Anaesthesiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Anne Rothermel
- Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany
- Translational Lung Research Center (TLRC), German Center for Lung Research (DZL), University Heidelberg, Heidelberg, Germany
| | - Felix Wünnemann
- Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany
- Translational Lung Research Center (TLRC), German Center for Lung Research (DZL), University Heidelberg, Heidelberg, Germany
| | | | - Diego Dreossi
- Elettra-Sincrotrone Trieste S.C.p.A., Trieste, Italy
| | - Nicola Sodini
- Elettra-Sincrotrone Trieste S.C.p.A., Trieste, Italy
| | - Elisa Baratella
- Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy
| | | | - Fulvia Arfelli
- Department of Physics, University of Trieste and INFN, Trieste, Italy
| | - Armin Kalenka
- Translational Lung Research Center (TLRC), German Center for Lung Research (DZL), University Heidelberg, Heidelberg, Germany
- Department of Anaesthesiology and Intensive Care Medicine, District Hospital Bergstrasse, Heppenheim, Germany
- Faculty of Medicine, University of Heidelberg, Heidelberg, Germany
| | - Joachim Lotz
- Department for Diagnostic and Interventional Radiology, University Medical Center Goettingen, Goettingen, Germany
| | - Jürgen Biederer
- Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany
- Translational Lung Research Center (TLRC), German Center for Lung Research (DZL), University Heidelberg, Heidelberg, Germany
- Faculty of Medicine, Christian-Albrechts-Universität zu Kiel, Kiel, Germany
- Faculty of Medicine, University of Latvia, Riga, Latvia
| | - Mark O Wielpütz
- Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany
- Translational Lung Research Center (TLRC), German Center for Lung Research (DZL), University Heidelberg, Heidelberg, Germany
| | - Hans-Ulrich Kauczor
- Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany
- Translational Lung Research Center (TLRC), German Center for Lung Research (DZL), University Heidelberg, Heidelberg, Germany
| | - Frauke Alves
- Department for Diagnostic and Interventional Radiology, University Medical Center Goettingen, Goettingen, Germany
- Department for Haematology and Medical Oncology, University Medical Center Goettingen, Goettingen, Germany
- Translational Molecular Imaging, Max-Plank-Institute for Multidisciplinary Sciences, Goettingen, Germany
| | | | - Christian Dullin
- Department for Diagnostic and Interventional Radiology, University Medical Center Goettingen, Goettingen, Germany.
- Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany.
- Translational Lung Research Center (TLRC), German Center for Lung Research (DZL), University Heidelberg, Heidelberg, Germany.
- Translational Molecular Imaging, Max-Plank-Institute for Multidisciplinary Sciences, Goettingen, Germany.
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3
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Xian RP, Walsh CL, Verleden SE, Wagner WL, Bellier A, Marussi S, Ackermann M, Jonigk DD, Jacob J, Lee PD, Tafforeau P. A multiscale X-ray phase-contrast tomography dataset of a whole human left lung. Sci Data 2022; 9:264. [PMID: 35654864 PMCID: PMC9163096 DOI: 10.1038/s41597-022-01353-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 05/03/2022] [Indexed: 11/09/2022] Open
Abstract
Technological advancements in X-ray imaging using bright and coherent synchrotron sources now allows the decoupling of sample size and resolution while maintaining high sensitivity to the microstructures of soft, partially dehydrated tissues. The continuous developments in multiscale X-ray imaging resulted in hierarchical phase-contrast tomography, a comprehensive approach to address the challenge of organ-scale (up to tens of centimeters) soft tissue imaging with resolution and sensitivity down to the cellular level. Using this technique, we imaged ex vivo an entire human left lung at an isotropic voxel size of 25.08 μm along with local zooms down to 6.05-6.5 μm and 2.45-2.5 μm in voxel size. The high tissue contrast offered by the fourth-generation synchrotron source at the European Synchrotron Radiation Facility reveals the complex multiscale anatomical constitution of the human lung from the macroscopic (centimeter) down to the microscopic (micrometer) scale. The dataset provides comprehensive organ-scale 3D information of the secondary pulmonary lobules and delineates the microstructure of lung nodules with unprecedented detail.
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Affiliation(s)
- R Patrick Xian
- Department of Mechanical Engineering, University College London, London, UK.
| | - Claire L Walsh
- Department of Mechanical Engineering, University College London, London, UK
| | - Stijn E Verleden
- Antwerp Surgical Training, Anatomy and Research Centre (ASTARC), University of Antwerp, Wilrijk, Belgium
| | - Willi L Wagner
- Department of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany
- Translational Lung Research Centre Heidelberg (TLRC), German Lung Research Centre (DZL), Heidelberg, Germany
| | - Alexandre Bellier
- Laboratoire d'Anatomie des Alpes Françaises (LADAF), Université Grenoble Alpes, Grenoble, France
| | - Sebastian Marussi
- Department of Mechanical Engineering, University College London, London, UK
| | - Maximilian Ackermann
- Institute of Pathology and Molecular Pathology, Helios University Clinic Wuppertal, University of Witten/Herdecke, Wuppertal, Germany
- Institute of Functional and Clinical Anatomy, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Danny D Jonigk
- Institute of Pathology, Hannover Medical School, Hannover, Germany
- Biomedical Research in End-stage and Obstructive Lung Disease Hannover (BREATH), German Lung Research Centre (DZL), Hannover, Germany
| | - Joseph Jacob
- Centre for Medical Image Computing, University College London, London, UK
- Department of Radiology, University College London Hospitals NHS Foundation Trust, London, UK
| | - Peter D Lee
- Department of Mechanical Engineering, University College London, London, UK.
| | - Paul Tafforeau
- European Synchrotron Radiation Facility, Grenoble, France.
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Verleden SE, Braubach P, Werlein C, Plucinski E, Kuhnel MP, Snoeckx A, El Addouli H, Welte T, Haverich A, Laenger FP, Dettmer S, Pauwels P, Verplancke V, Van Schil PE, Lapperre T, Kwakkel-Van-Erp JM, Ackermann M, Hendriks JMH, Jonigk D. From Macroscopy to Ultrastructure: An Integrative Approach to Pulmonary Pathology. Front Med (Lausanne) 2022; 9:859337. [PMID: 35372395 PMCID: PMC8965844 DOI: 10.3389/fmed.2022.859337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 02/07/2022] [Indexed: 11/30/2022] Open
Abstract
Pathology and radiology are complimentary tools, and their joint application is often crucial in obtaining an accurate diagnosis in non-neoplastic pulmonary diseases. However, both come with significant limitations of their own: Computed Tomography (CT) can only visualize larger structures due to its inherent–relatively–poor resolution, while (histo) pathology is often limited due to small sample size and sampling error and only allows for a 2D investigation. An innovative approach of inflating whole lung specimens and subjecting these subsequently to CT and whole lung microCT allows for an accurate matching of CT-imaging and histopathology data of exactly the same areas. Systematic application of this approach allows for a more targeted assessment of localized disease extent and more specifically can be used to investigate early mechanisms of lung diseases on a morphological and molecular level. Therefore, this technique is suitable to selectively investigate changes in the large and small airways, as well as the pulmonary arteries, veins and capillaries in relation to the disease extent in the same lung specimen. In this perspective we provide an overview of the different strategies that are currently being used, as well as how this growing field could further evolve.
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Affiliation(s)
- Stijn E. Verleden
- Antwerp Surgical Training, Anatomy and Research Centre (ASTARC), Antwerp University, Antwerp, Belgium
- Division of Pneumology, University Hospital Antwerp, Edegem, Belgium
- Department of Thoracic and Vascular Surgery, University Hospital Antwerp, Edegem, Belgium
| | - Peter Braubach
- Member of the German Center for Lung Research (DZL), Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Hannover, Germany
- Institute for Pathology, Hannover Medical School, Hannover, Germany
| | | | - Edith Plucinski
- Member of the German Center for Lung Research (DZL), Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Hannover, Germany
- Institute for Pathology, Hannover Medical School, Hannover, Germany
| | - Mark P. Kuhnel
- Member of the German Center for Lung Research (DZL), Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Hannover, Germany
- Institute for Pathology, Hannover Medical School, Hannover, Germany
| | - Annemiek Snoeckx
- Division of Radiology, University Hospital Antwerp and University of Antwerp, Edegem, Belgium
| | - Haroun El Addouli
- Division of Radiology, University Hospital Antwerp and University of Antwerp, Edegem, Belgium
| | - Tobias Welte
- Member of the German Center for Lung Research (DZL), Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Hannover, Germany
- Division of Pneumology, Hannover Medical School, Hannover, Germany
| | - Axel Haverich
- Member of the German Center for Lung Research (DZL), Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Hannover, Germany
- Division of Thoracic Surgery, Hannover Medical School, Hannover, Germany
| | - Florian P. Laenger
- Member of the German Center for Lung Research (DZL), Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Hannover, Germany
- Institute for Pathology, Hannover Medical School, Hannover, Germany
| | - Sabine Dettmer
- Member of the German Center for Lung Research (DZL), Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Hannover, Germany
- Department of Radiology, Hannover Medical School, Hannover, Germany
| | - Patrick Pauwels
- Division of Pathology, University Hospital Antwerp, Edegem, Belgium
| | | | - Paul E. Van Schil
- Antwerp Surgical Training, Anatomy and Research Centre (ASTARC), Antwerp University, Antwerp, Belgium
- Department of Thoracic and Vascular Surgery, University Hospital Antwerp, Edegem, Belgium
| | - Therese Lapperre
- Division of Pneumology, University Hospital Antwerp, Edegem, Belgium
- Laboratory of Experimental Medicine and Pediatrics (LEMP), Antwerp University, Antwerp, Belgium
| | - Johanna M. Kwakkel-Van-Erp
- Division of Pneumology, University Hospital Antwerp, Edegem, Belgium
- Laboratory of Experimental Medicine and Pediatrics (LEMP), Antwerp University, Antwerp, Belgium
| | - Maximilian Ackermann
- Institute of Pathology and Department of Molecular Pathology, Helios University Clinic Wuppertal, University of Witten-Herdecke, Witten, Germany
- Institute of Functional and Clinical Anatomy, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Jeroen M. H. Hendriks
- Antwerp Surgical Training, Anatomy and Research Centre (ASTARC), Antwerp University, Antwerp, Belgium
- Department of Thoracic and Vascular Surgery, University Hospital Antwerp, Edegem, Belgium
| | - Danny Jonigk
- Member of the German Center for Lung Research (DZL), Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Hannover, Germany
- Institute for Pathology, Hannover Medical School, Hannover, Germany
- *Correspondence: Danny Jonigk
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Olivo A. Edge-illumination x-ray phase-contrast imaging. JOURNAL OF PHYSICS. CONDENSED MATTER : AN INSTITUTE OF PHYSICS JOURNAL 2021; 33:363002. [PMID: 34167096 PMCID: PMC8276004 DOI: 10.1088/1361-648x/ac0e6e] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 06/07/2021] [Accepted: 06/24/2021] [Indexed: 05/08/2023]
Abstract
Although early demonstration dates back to the mid-sixties, x-ray phase-contrast imaging (XPCI) became hugely popular in the mid-90s, thanks to the advent of 3rd generation synchrotron facilities. Its ability to reveal object features that had so far been considered invisible to x-rays immediately suggested great potential for applications across the life and the physical sciences, and an increasing number of groups worldwide started experimenting with it. At that time, it looked like a synchrotron facility was strictly necessary to perform XPCI with some degree of efficiency-the only alternative being micro-focal sources, the limited flux of which imposed excessively long exposure times. However, new approaches emerged in the mid-00s that overcame this limitation, and allowed XPCI implementations with conventional, non-micro-focal x-ray sources. One of these approaches showing particular promise for 'real-world' applications is edge-illumination XPCI: this article describes the key steps in its evolution in the context of contemporary developments in XPCI research, and presents its current state-of-the-art, especially in terms of transition towards practical applications.
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Affiliation(s)
- Alessandro Olivo
- Department of Medical Physics and Biomedical Engineering, UCL, London, United Kingdom
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Synchrotron Radiation-Based Refraction-Contrast Tomographic Images Using X-ray Dark-Field Imaging Optics in Human Lung Adenocarcinoma and Histologic Correlations. Diagnostics (Basel) 2021; 11:diagnostics11030487. [PMID: 33801895 PMCID: PMC7999731 DOI: 10.3390/diagnostics11030487] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 03/02/2021] [Accepted: 03/07/2021] [Indexed: 12/25/2022] Open
Abstract
The aim of this study was to evaluate the clinical implication of synchrotron radiation imaging techniques for human lung adenocarcinoma in comparison with pathologic examination. A refraction-based tomographic imaging technique called the X-ray dark-field imaging (XDFI) method was used to obtain computed tomographic images of human lung adenocarcinoma at the beam line at Photon Factory BL 14B at the High Energy Accelerator Research Organization (KEK) in Tsukuba, Japan. Images of normal lung tissue were also obtained using the same methods and reconstructed as 3D images. Both reconstructed images were compared with pathologic examinations from histologic slides which were made with identical samples. Pulmonary alveolar structure including terminal bronchioles, alveolar sacs, and vasculatures could be identified in synchrotron radiation images of normal lung. Hyperplasia of interstitial tissue and dysplasia of alveolar structures were noticed in images of lung adenocarcinoma. Both synchrotron radiation images were considerably correlated with images from histologic slides. Lepidic patterns of cancer tissue were distinguished from the invasive area in synchrotron radiation images of lung adenocarcinoma. Refraction-contrast tomographic techniques using synchrotron radiation could provide high-resolution images of lung adenocarcinoma which are compatible with those from pathologic examinations.
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Schmitt VH, Schmitt C, Hollemann D, Mamilos A, Wagner W, Weinheimer O, Brochhausen C. Comparison of histological and computed tomographic measurements of pig lung bronchi. ERJ Open Res 2020; 6:00500-2020. [PMID: 33313303 PMCID: PMC7720685 DOI: 10.1183/23120541.00500-2020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Accepted: 09/14/2020] [Indexed: 12/03/2022] Open
Abstract
Aim Light microscopy is used as template in the evaluation and further development of medical imaging methods. Tissue shrinkage caused by histological processing is known to influence lung tissue dimensions. In diagnosis of COPD, computed tomography (CT) is widely used for automated airway measurement. The aim of this study was to compare histological and computed tomographic measurements of pig lung bronchi. Methods Airway measurements of pig lungs were performed after freezing under controlled inflation pressure in a liquid nitrogen bath. The wall thickness of seven bronchi was measured via Micro-CT and CT using the integral-based method (IBM) and the full-width-at-half-maximum method (FWHM) automatically and histologically on frozen and paraffin sections. Statistical analysis was performed using the Wilcoxon test, Pearson's correlation coefficient with a significance level at p<0.05, scatter plots and Bland–Altman plots. Results Bronchial wall thickness was smallest in frozen sections (median 0.71 mm) followed by paraffin sections (median 0.75 mm), Micro-CT (median 0.84 mm), and CT measurements using IBM (median 0.68 mm) and FWHM (median 1.69 mm). Statistically significant differences were found among all tested groups (p<0.05) except for CT IBM and paraffin and frozen sections and Micro-CT. There was high correlation between all parameters with statistical significance (p<0.05). Conclusions Significant differences in airway measurement were found among the different methods. The absolute measurements with CT IBM were closest to the histological results followed by Micro-CT, whereas CT FWHM demonstrated a distinct divergence from the other groups. Automated measurement techniques advance diagnosis of lung diseases. Pig bronchi wall size varies between Micro-CT, CT IBM, CT FWHM and histology. CT IBM is closest to histological results, followed by Micro-CT. CT FWHM differs highly from all other groups.https://bit.ly/3iRXSrv
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Affiliation(s)
- Volker H Schmitt
- Dept of Cardiology, University Medical Centre, Johannes Gutenberg University of Mainz, Mainz, Germany.,German Center for Cardiovascular Research (DZHK), Partner Site Rhine Main, Mainz, Germany.,Joint first authors
| | - Christine Schmitt
- Practice Dr Wolf and Colleagues, Mainz, Germany.,Joint first authors
| | - David Hollemann
- Institute of Clinical and Molecular Pathology, State Hospital Horn, Horn, Austria
| | - Andreas Mamilos
- REPAIR-lab, Institute of Pathology, University of Regensburg, Regensburg, Germany
| | - Willi Wagner
- Dept of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany.,Translational Lung Research Centre Heidelberg (TLRC), German Lung Research Centre (DZL), Heidelberg, Germany
| | - Oliver Weinheimer
- Dept of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany.,Translational Lung Research Centre Heidelberg (TLRC), German Lung Research Centre (DZL), Heidelberg, Germany.,Joint senior authors
| | - Christoph Brochhausen
- REPAIR-lab, Institute of Pathology, University of Regensburg, Regensburg, Germany.,Central Biobank Regensburg, University Regensburg and University Hospital Regensburg, Regensburg, Germany.,Joint senior authors
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8
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Gureyev TE, Paganin DM, Arhatari B, Taba ST, Lewis S, Brennan PC, Quiney HM. Dark-field signal extraction in propagation-based phase-contrast imaging. Phys Med Biol 2020; 65:215029. [PMID: 32756030 DOI: 10.1088/1361-6560/abac9d] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
A method for extracting the dark-field signal in propagation-based phase-contrast imaging is proposed. In the case of objects consisting predominantly of a single material, or several different materials with similar ratios of the real decrement to the imaginary part of the complex refractive index, the proposed method requires a single image for extraction of the dark-field signal in two-dimensional projection imaging. In the case of three-dimensional tomographic imaging, the method needs only one image to be collected at each projection angle. Initial examples using simulated and experimental data indicate that this method can improve visualization of small sharp features inside a larger object, e.g. the visualization of microcalcifications in propagation-based x-ray breast cancer imaging. It is suggested that the proposed approach may be useful in other forms of biomedical imaging, where it can help one to obtain additional small-angle scattering information without increasing the radiation dose to the sample.
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Affiliation(s)
- T E Gureyev
- School of Physics, The University of Melbourne, Parkville 3010, Australia. Faculty of Health Sciences, The University of Sydney, Lidcombe 2141, Australia. School of Physics and Astronomy, Monash University, Clayton 3800, Australia. School of Science and Technology, University of New England, Armidale 2351, Australia
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9
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Influence of acquisition settings and radiation exposure on CT lung densitometry-An anthropomorphic ex vivo phantom study. PLoS One 2020; 15:e0237434. [PMID: 32797096 PMCID: PMC7428081 DOI: 10.1371/journal.pone.0237434] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Accepted: 07/28/2020] [Indexed: 11/19/2022] Open
Abstract
Objectives To systematically evaluate the influence of acquisition settings in conjunction with raw-data based iterative image reconstruction (IR) on lung densitometry based on multi-row detector computed tomography (CT) in an anthropomorphic chest phantom. Materials and methods Ten porcine heart-lung explants were mounted in an ex vivo chest phantom shell, six with highly and four with low attenuating chest wall. CT (Somatom Definition Flash, Siemens Healthineers) was performed at 120kVp and 80kVp, each combined with current-time products of 120, 60, 30, and 12mAs, and was reconstructed with filtered back projection (FBP) and IR (Safire, Siemens Healthineers). Mean lung density (LD), air density (AD) and noise were measured by semi-automated region-of interest (ROI) analysis, with 120kVp/120 mAs serving as the standard of reference. Results Using IR, noise in lung parenchyma was reduced by ~ 31% at high attenuating chest wall and by ~ 22% at low attenuating chest wall compared to FBP, respectively (p<0.05). IR induced changes in the order of ±1 HU to mean absolute LD and AD compared to corresponding FBP reconstructions which were statistically significant (p<0.05). Conclusions Densitometry is influenced by acquisition parameters and reconstruction algorithms to a degree that may be clinically negligible. However, in longitudinal studies and clinical research identical protocols and potentially other measures for calibration may be required.
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10
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Tesařová M, Heude E, Comai G, Zikmund T, Kaucká M, Adameyko I, Tajbakhsh S, Kaiser J. An interactive and intuitive visualisation method for X-ray computed tomography data of biological samples in 3D Portable Document Format. Sci Rep 2019; 9:14896. [PMID: 31624273 PMCID: PMC6797759 DOI: 10.1038/s41598-019-51180-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Accepted: 09/25/2019] [Indexed: 12/14/2022] Open
Abstract
3D imaging approaches based on X-ray microcomputed tomography (microCT) have become increasingly accessible with advancements in methods, instruments and expertise. The synergy of material and life sciences has impacted biomedical research by proposing new tools for investigation. However, data sharing remains challenging as microCT files are usually in the range of gigabytes and require specific and expensive software for rendering and interpretation. Here, we provide an advanced method for visualisation and interpretation of microCT data with small file formats, readable on all operating systems, using freely available Portable Document Format (PDF) software. Our method is based on the conversion of volumetric data into interactive 3D PDF, allowing rotation, movement, magnification and setting modifications of objects, thus providing an intuitive approach to analyse structures in a 3D context. We describe the complete pipeline from data acquisition, data processing and compression, to 3D PDF formatting on an example of craniofacial anatomical morphology in the mouse embryo. Our procedure is widely applicable in biological research and can be used as a framework to analyse volumetric data from any research field relying on 3D rendering and CT-biomedical imaging.
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Affiliation(s)
- Markéta Tesařová
- Central European Institute of Technology, Brno University of Technology, Brno, Czech Republic
| | - Eglantine Heude
- Department Adaptation du Vivant, Museum national d'Histoire naturelle, CNRS UMR 7221, Paris, France.,Department of Developmental and Stem Cell Biology, Stem Cells and Development Unit, Institut Pasteur, Paris, France.,CNRS UMR, 3738, Paris, France
| | - Glenda Comai
- Department of Developmental and Stem Cell Biology, Stem Cells and Development Unit, Institut Pasteur, Paris, France.,CNRS UMR, 3738, Paris, France
| | - Tomáš Zikmund
- Central European Institute of Technology, Brno University of Technology, Brno, Czech Republic
| | - Markéta Kaucká
- Department of Physiology and Pharmacology, Karolinska Institutet, Solna, Sweden.,Department of Molecular Neurosciences, Medical University of Vienna, Vienna, Austria
| | - Igor Adameyko
- Department of Physiology and Pharmacology, Karolinska Institutet, Solna, Sweden.,Department of Molecular Neurosciences, Medical University of Vienna, Vienna, Austria
| | - Shahragim Tajbakhsh
- Department of Developmental and Stem Cell Biology, Stem Cells and Development Unit, Institut Pasteur, Paris, France.,CNRS UMR, 3738, Paris, France
| | - Jozef Kaiser
- Central European Institute of Technology, Brno University of Technology, Brno, Czech Republic.
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