Title :
Preliminary Study for Automated Recognition of Anatomical Structure from Torso CT images
Author :
Zhou, X. ; Hara, T. ; Fujita, H. ; Yokoyama, R. ; Kiryu, T. ; Hoshi, H. ; Kanematsu, M.
Author_Institution :
Dept. of Intelligent Image Information, Gifu Univ.
Abstract :
The anatomical human structure recognition is very important and necessary during the development of computer-aided diagnosis (CAD) system. In this paper, we propose an image processing scheme that can recognize the general structure of human torso by identifying the human torso region from CT images automatically and separating it into 7 parts: skin, subcutaneous fat, muscle, bone, diaphragm, thoracic cavity and abdominal cavity based on CT number distribution and spatial relations between different organ and tissue regions. We applied this scheme to 313 patient cases of torso CT images and confirmed its usefulness from the preliminary experiment
Keywords :
bone; computerised tomography; image recognition; medical image processing; muscle; skin; abdominal cavity; automated anatomical human structure recognition; bone; computer-aided diagnosis system; diaphragm; human torso; image processing; muscle; skin; subcutaneous fat; thoracic cavity; torso CT images; Anatomical structure; Bones; Computed tomography; Computer aided diagnosis; Humans; Image processing; Image recognition; Muscles; Skin; Torso;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1616497
