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 :
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