Automatic hippocampal surface generation via 3D U-net and active shape modeling with hybrid particle swarm optimization

Zhong，Pinyuan1; Zhang，Yue1,2; Tang，Xiaoying1

10.1109/EMBC46164.2021.9630627

2021

43rd Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (IEEE EMBC)

1557-170X

1558-4615

978-1-7281-1180-3

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

2633-2636

NOV 01-05, 2021

null,null,ELECTR NETWORK

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

In this paper, we proposed and validated a fully automatic pipeline for hippocampal surface generation via 3D U-net coupled with active shape modeling (ASM). Principally, the proposed pipeline consisted of three steps. In the beginning, for each magnetic resonance image, a 3D U-net was employed to obtain the automatic hippocampus segmentation at each hemisphere. Secondly, ASM was performed on a group of pre-obtained template surfaces to generate mean shape and shape variation parameters through principal component analysis. Ultimately, hybrid particle swarm optimization was utilized to search for the optimal shape variation parameters that best match the segmentation. The hippocampal surface was then generated from the mean shape and the shape variation parameters. The proposed pipeline was observed to provide hippocampal surfaces at both hemispheres with high accuracy, correct anatomical topology, and sufficient smoothness.Clinical relevance - This work provides a useful tool for generating hippocampal surfaces which are important biomarkers for a variety of brain disorders.

Solid modeling Three-dimensional displays Shape Pipelines Tools Hybrid power systems Topology

第一 ; 通讯

英语

CPCI-S ; EI

National Natural Science Foundation of China[62071210];

Engineering

Engineering, Biomedical ; Engineering, Electrical & Electronic

WOS:000760910502123

20220811669696

2-s2.0-85122506511

Scopus

1.Southern University of Science and Technology,Department of Electrical and Electronic Engineering,Shenzhen,China
2.Department of Electrical and Electronic Engineering,The University of Hong Kong,Hong Kong,Hong Kong

Zhong，Pinyuan,Zhang，Yue,Tang，Xiaoying. Automatic hippocampal surface generation via 3D U-net and active shape modeling with hybrid particle swarm optimization[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2021:2633-2636.