Area-preserving mapping of 3D carotid ultrasound images using density-equalizing reference map

Citation:

G. P. T. Choi, B. Chiu, and C. H. Rycroft, “Area-preserving mapping of 3D carotid ultrasound images using density-equalizing reference map,” IEEE Transactions on Biomedical Engineering, vol. 67, no. 9, pp. 1507-1517, 2020.
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Area-preserving mapping of 3D carotid ultrasound images using density-equalizing reference map

Date Published:

2020

Abstract:

Atherosclerotic plaques are focal and tend to occur at arterial bends and bifurcations. To quantitatively monitor the local changes in the carotid vessel-wall-plus-plaque thickness (VWT) and compare the VWT distributions for different patients or for the same patients at different ultrasound scanning sessions, a mapping technique is required to adjust for the geometric variability of different carotid artery models. In this work, we propose a novel method called density-equalizing reference map (DERM) for mapping 3D carotid surfaces to a standardized 2D carotid template, with an emphasis on preserving the local geometry of the carotid surface by minimizing the local area distortion. The initial map was generated by a previously described arc-length scaling (ALS) mapping method, which projects a 3D carotid surface onto a 2D non-convex L-shaped domain. A smooth and area-preserving flattened map was subsequently constructed by deforming the ALS map using the proposed algorithm that combines the density-equalizing map and the reference map techniques. This combination allows, for the first time, one-to-one mapping from a 3D surface to a standardized non-convex planar domain in an area-preserving manner. Evaluations using 20 carotid surface models show that the proposed method reduced the area distortion of the flattening maps by over 80% as compared to the ALS mapping method. The proposed method is capable of improving the accuracy of area estimation for plaque regions without compromising inter-scan reproducibility.

Publisher's Version

Last updated on 10/02/2020