Share Email Print

Proceedings Paper

Accurate quantification of local changes for carotid arteries in 3D ultrasound images using convex optimization-based deformable registration
Author(s): Jieyu Cheng; Wu Qiu; Jing Yuan; Aaron Fenster; Bernard Chiu
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Registration of longitudinally acquired 3D ultrasound (US) images plays an important role in monitoring and quantifying progression/regression of carotid atherosclerosis. We introduce an image-based non-rigid registration algorithm to align the baseline 3D carotid US with longitudinal images acquired over several follow-up time points. This algorithm minimizes the sum of absolute intensity differences (SAD) under a variational optical-flow perspective within a multi-scale optimization framework to capture local and global deformations. Outer wall and lumen were segmented manually on each image, and the performance of the registration algorithm was quantified by Dice similarity coefficient (DSC) and mean absolute distance (MAD) of the outer wall and lumen surfaces after registration. In this study, images for 5 subjects were registered initially by rigid registration, followed by the proposed algorithm. Mean DSC generated by the proposed algorithm was 79:3±3:8% for lumen and 85:9±4:0% for outer wall, compared to 73:9±3:4% and 84:7±3:2% generated by rigid registration. Mean MAD of 0:46±0:08mm and 0:52±0:13mm were generated for lumen and outer wall respectively by the proposed algorithm, compared to 0:55±0:08mm and 0:54±0:11mm generated by rigid registration. The mean registration time of our method per image pair was 143±23s.

Paper Details

Date Published: 21 March 2016
PDF: 6 pages
Proc. SPIE 9784, Medical Imaging 2016: Image Processing, 978448 (21 March 2016); doi: 10.1117/12.2217342
Show Author Affiliations
Jieyu Cheng, City Univ. of Hong Kong (Hong Kong, China)
Wu Qiu, Robarts Research Institute (Canada)
Univ. of Calgary (Canada)
Jing Yuan, Robarts Research Institute (Canada)
Aaron Fenster, Robarts Research Institute (Canada)
Bernard Chiu, City Univ. of Hong Kong (Hong Kong, China)

Published in SPIE Proceedings Vol. 9784:
Medical Imaging 2016: Image Processing
Martin A. Styner; Elsa D. Angelini, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?