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

Volume

2

fYear

2000

fDate

2000

Firstpage

1147

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-5747-7

Type

conf

DOI

10.1109/ICOSP.2000.891744

Filename

891744