Area-Preserving Mapping of 3D Carotid Ultrasound Images Using Density-Equalizing Reference Map [electronic resource]

• Ngôn ngữ: eng
• Ký hiệu phân loại: 614.1 Forensic medicine
• Thông tin xuất bản: Washington, D.C. : Oak Ridge, Tenn. : United States. Dept. of Energy. Office of Science ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2020
• Mô tả vật lý: Size: p. 2507-2517 : , digital, PDF file.
• Bộ sưu tập: Metadata
• ID: 260189
• Chủ đề: 1. 60 applied life sciences; 2. Area-preserving map; 3. Carotid atherosclerosis; 4. Carotid ultrasound; 5. Density-equalizing map; 6. Reference map technique; 7. Vessel-wall-plus-plaque thickness (vwt)

Tóm tắt

Carotid atherosclerosis is a focal disease at the bifurcations of the carotid artery. To quantitatively monitor the local changes in the 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.