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Three-dimensional registration of histology of human atherosclerotic carotid plaques to in-vivo imaging
Authors:Harald C. Groen  Theo van Walsum  Sietske Rozie  Stefan Klein  Kim van Gaalen  Frank J.H. Gijsen  Piotr A. Wielopolski  Heleen M.M. van Beusekom  Rini de Crom  Hence J.M. Verhagen  Antonius F.W. van der Steen  Aad van der Lugt  Jolanda J. Wentzel  Wiro J. Niessen
Affiliation:1. Biomedical Engineering, ErasmusMC, PO Box 2040, 3000 CA Rotterdam, The Netherlands;2. Radiology, ErasmusMC, Rotterdam, The Netherlands;3. Biomedical Imaging Group Rotterdam, Department of Radiology and Med. Informatics, ErasmusMC, Rotterdam, The Netherlands;4. Cardiology, ErasmusMC, Rotterdam, The Netherlands;5. Cell Biology, ErasmusMC, Rotterdam, The Netherlands;6. Vascular Surgery, ErasmusMC, Rotterdam, The Netherlands;7. Imaging Science and Technology, Faculty of Applied Sciences, Delft University of Technology, Delft, The Netherlands;1. University of South Carolina, College of Engineering and Computing, Biomedical Engineering Program, Columbia, SC 29208, USA;2. Institute of Mechanics, Acad. G Bonchev Str. Block 4, Sofia, Bulgaria;1. Department of Ultrasound, Capital Medical University Affiliated Beijing Anzhen Hospital, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, China;2. Stroke Center, Capital Medical University Affiliated Beijing Anzhen Hospital, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, China;3. Department of Cardiovascular Surgery, China–Japan Friendship Hospital, Beijing, China;1. Interregional Clinical and Diagnostic Centre, Kazan, Russia;2. Department of Cardiovascular and Endovascular Surgery, Kazan State Medical University, Kazan, Russia;3. Institute of Physics of the Kazan (Volga Region) Federal University, Kazan, Russia;4. Pirogov Russian National Research Medical University, Moscow, Russia;1. Department of Surgery, Division of Vascular Surgery, Medical University of Vienna, Austria;2. Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, Austria;3. Centre for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Austria;4. Department of Medical Biotechnology, Faculty of Biochemistry, Biophysics and Biotechnology, Jagiellonian University, Krakow, Poland;5. Core Facilities, Medical University of Vienna, Vienna, Austria;6. Department of Laboratory Medicine, Medical University of Vienna, Austria;1. Department of Diagnostic Imaging and Pathology and Laboratory Medicine, The Ottawa Hospital, Ottawa, Ontario, Canada;2. School of Dentistry and Health Sciences, Charles Sturt University, Wagga Wagga, Australia;3. Australian School of Advanced Medicine, Macquarie University, Sydney, Australia
Abstract:An accurate spatial relationship between 3D in-vivo carotid plaque and lumen imaging and histological cross sections is required to study the relationship between biomechanical parameters and atherosclerotic plaque components. We present and evaluate a fully three-dimensional approach for this registration problem, which accounts for deformations that occur during the processing of the specimens. By using additional imaging steps during tissue processing and semi-automated non-linear registration techniques, a 3D-reconstruction of the histology is obtained.The methodology was evaluated on five specimens obtained from patients, operated for severe atherosclerosis in the carotid bifurcation. In more than 80% of the histology slices, the quality of the semi-automated registration with computed tomography angiography (CTA) was equal to or better than the manual registration. The inter-observer variability was between one and two in-vivo CT voxels and was equal to the manual inter-observer variability. Our technique showed that the angles between the normals of the registered histology slices and the in-vivo CTA scan direction ranged 6–56°, indicating that proper 3D-registration is crucial for establishing a correct spatial relation with in-vivo imaging modalities. This new 3D-reconstruction technique of atherosclerotic plaque tissue opens new avenues in the field of biomechanics as well as in the field of image processing, where it can be used for validation purposes of segmentation algorithms.
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