Brain MRI Semi-Automatic Segmentation Algorithm for Medical Image Contents

의료영상 콘텐츠의 뇌 MR영상 반자동 영역 분할 알고리즘

  • 김신홍 (주성대학 인터넷정보학과)
  • Published : 2005.06.01


This paper emphasizes on the accomplishment of compensated proton density image and T2 weighted image taken from the shrinkage surface of the Brain. From the images, the Brain's surface shrinkage in the normal image and the surface shrinkage in the abnormal image can be observed. After the separation of white matter, gray matter, and CSF, this algorithm calculates the volume of each of them automatically. Results are subdivided into particular ages and saved in the database to be analyzed and to be processed statistically. Therefore, by using this algorithm the normal and abnormal stages can be detected in the early stages to diagnose. This result easily discernment Alzheimer patient and is useful for Alzheimer diagnostic and early detection.


Segmentation;White Matter;Gray Matter;CSF;MRI