DocumentCode
525618
Title
Statistical atlases of human anatomy and computer assisted diagnostic system
Author
Chen, Yen-wei ; Tateyama, Tomoko ; Foruzan, Amir H. ; Mofrad, F. Babapour ; Qiao, Xu ; Furukawa, Akira
Author_Institution
Electron. & Inf. Eng. Sch., Central South Univ. of Forestry & Tech., Changsha, China
fYear
2010
fDate
23-25 June 2010
Firstpage
700
Lastpage
705
Abstract
In this paper, we report our current progress results on computer assisted diagnostic (CAD) system, which consists of three units: database unit (statistical atlas of human anatomy), image processing unit (image enhancement, image segmentation, image registration), and visualization unit (volume rendering). In the database unit, we proposed a new method called generalized N-dimensional principal component analysis (GND-PCA) for statistical volume atlas. Not only the shape variations but also the intensity (CT value) variations can be modeled by the use of GND-PCA. In the processing unit, we proposed a new liver segmentation method from low contrast CT volumes and developed an interactive visualization system for liver and its vascular structure in the visualization unit.
Keywords
data visualisation; image registration; image segmentation; medical image processing; patient diagnosis; principal component analysis; GND-PCA model; computer assisted diagnostic system; database unit; generalized N-dimensional principal component analysis; human anatomy statistical atlases; image enhancement; image processing unit; image registration; image segmentation; intensity variation; interactive visualization system; liver segmentation method; low contrast CT volumes; statistical volume atlas; vascular structure; visualization unit; volume rendering; Computed tomography; Human anatomy; Image databases; Image enhancement; Image processing; Image registration; Image segmentation; Liver; Visual databases; Visualization; Generalized N-dimensional principal component analysis (GND-PCA); Liver segmentation; Statistical Atlas; Vessel extraction; Volume;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering and Data Mining (SEDM), 2010 2nd International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-7324-3
Electronic_ISBN
978-89-88678-22-0
Type
conf
Filename
5542832
Link To Document