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Proceedings Paper

3D assessment of the carotid artery vessel wall volume: an imaging biomarker for diagnosis of the atherosclerotic disease
Author(s): Mariam Afshin; Tishan Maraj; Tina Binesh Marvasti; Navneet Singh; Alan Moody
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Paper Abstract

This study investigates a novel method of 3D evaluation of the carotid vessel wall using two different Magnetic Resonance (MR) sequences. The method focuses on energy minimization by level-set curve boundary evolution. The level-set framework allows for the introduction of prior knowledge that is learnt from some images on the solution. The lumen is detected using a 3D TOF sequence. The lumen MRA segmentation (contours) was then transferred and registered to the corresponding images on the Magnetic Resonance Imaging plaque hemorrhage (MRIPH) sequence. The 3D registration algorithm was applied to align the sequences. The same technique used for lumen detection was then applied to extract the outer wall boundary. Our preliminary results show that the segmentations are well correlated with those obtained from a 2D reference sequence (2D-T1W). The estimated Vessel Wall Volume (VWV) can be used as an imaging biomarker to help radiologists diagnose and monitor atherosclerotic disease. Furthermore, the 3D map of the Vessel Wall Thickness (WVT) and Vessel Wall Signal Intensity may be used as complementary information to monitor disease severity.

Paper Details

Date Published: 24 March 2016
PDF: 4 pages
Proc. SPIE 9785, Medical Imaging 2016: Computer-Aided Diagnosis, 978504 (24 March 2016); doi: 10.1117/12.2216890
Show Author Affiliations
Mariam Afshin, Sunnybrook Health Sciences Ctr. (Canada)
Univ. of Toronto (Canada)
Tishan Maraj, Sunnybrook Health Sciences Ctr. (Canada)
Univ. of Toronto (Canada)
Tina Binesh Marvasti, Sunnybrook Health Sciences Ctr. (Canada)
Univ. of Toronto (Canada)
Navneet Singh, Sunnybrook Health Sciences Ctr. (Canada)
Univ. of Toronto (Canada)
Alan Moody, Sunnybrook Health Sciences Ctr. (Canada)
Univ. of Toronto (Canada)


Published in SPIE Proceedings Vol. 9785:
Medical Imaging 2016: Computer-Aided Diagnosis
Georgia D. Tourassi; Samuel G. Armato, Editor(s)

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