A Deep Learning Pipeline Incorporating Level Set for Vascular Segmentation and Topological Analysis

Wang，Xueying; Liu，Xiaoya; Zhang，Yue; Guo，Qiongyu; Tang，Xiaoying

10.1145/3451421.3451458

2020-12-05

ACM International Conference Proceeding Series

173-176

In the rat's liver cancer chemotherapy model, it is significant to quantify the process of the time-dependent release of any anticancer drug, for which an essential component is to extract drug-diffused vessels and analyze their topology. In this work, we proposed a novel pipeline for segmenting vessels and extracting their skeletons for subsequent topological analyses. First, we used UNet to obtain coarse vessel segmentation as an initial result. Due to the vital importance of the vascular topology, we manually corrected the coarse segmentation to a minimum degree. Then, level-set was used to further refine the vessel segmentation. Finally, we extracted the vascular skeleton to analyze its topological structure. Experimental results identified the robust performance of the proposed pipeline.

Level-set Skeleton UNet Vessel segmentation

第一

英语

EI

20213610870644

Chemotherapy ; Musculoskeletal system ; Pipelines ; Topology

Biomechanics, Bionics and Biomimetics:461.3 ; Medicine and Pharmacology:461.6 ; Pipe, Piping and Pipelines:619.1 ; Combinatorial Mathematics, Includes Graph Theory, Set Theory:921.4

2-s2.0-85114284704

Scopus

Southern University of Science and Technology,Shenzhen,China

Wang，Xueying,Liu，Xiaoya,Zhang，Yue,et al. A Deep Learning Pipeline Incorporating Level Set for Vascular Segmentation and Topological Analysis[C],2020:173-176.