Title :
Segmentation of kidney without using contrast medium on abdominal CT image
Author :
Kim, Seon-Joo ; Yoo, Seung-Wha ; Kim, Sin-Hong ; Kim, Jong-Chul ; Park, Jong-Won
Author_Institution :
Div. of Comput., Juseong Coll., Chung-Buk, South Korea
Abstract :
This paper is a study of the segmentation of a normal kidney, grasping the special quality of the abdominal CT image, analyzing the kidney and implementing automatic segmentation of the kidney. In processing, the organ extraction was executed using the character of each other pixel distribution of each organ and extracted kidney in a single slide. This process is done through subtraction and processing of filling using a template while the binary image gets through the threshold. We removed the noise without removing the folding of each slide of the extracted kidney image in a single slice
Keywords :
computerised tomography; feature extraction; image segmentation; kidney; medical image processing; abdominal CT image; automatic segmentation; binary image; contrast medium; extracted kidney image; image processing; kidney segmentation; organ extraction; pixel distribution; slide; subtraction; template; Abdomen; Computed tomography; Data mining; Filling; Image recognition; Image segmentation; Liver; Mesh generation; Shape; Spine;
Conference_Titel :
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-5747-7
DOI :
10.1109/ICOSP.2000.891744