TY - JOUR
T1 - Hippocampus Segmentation via active contour model
AU - Shangbing Gao and Haiyan Zhou and Yuebin Lin and Yue Zhang
JO - Journal of Information and Computing Science
VL - 4
SP - 262
EP - 266
PY - 2024
DA - 2024/01
SN - 9
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22569.html
KW - hippocampus
KW -  Image segmentation
KW -  active contour
KW -  Chan-Vese. 

AB - Since hippocampal volume measurement is often used in studying Alzheimer’s disease to assess 
disease  progression,  automatic  hippocampus  segmentation  is  an  important  task  in  clinical  applications. 
However,  it  is  a  challenging  task  due  to  its  small  size,  complex  shape,  fuzzy  boundaries,  partial  volume 
effects,  and  anatomical  variability.  In  this  paper  we  propose  a  new  segmentation  method  to  segment  the 
hippocampus  from  brain  MRI  images  automatically.This  proposed  method  presents  a  new  region-based 
signed  pressure  force  function,  which  can  efficiently  stop  the  contours  at  weak  boundary.  Experimental 
results show that the model can fast and effectively segment the intensity inhomogeneous images.