Computer-Aided Kidney Segmentation on Abdominal CT Images

2006 ◽  
Vol 10 (1) ◽  
pp. 59-65 ◽  
Author(s):  
D.-T. Lin ◽  
C.-C. Lei ◽  
S.-W. Hung
2014 ◽  
Vol 14 (05) ◽  
pp. 1450073 ◽  
Author(s):  
AICHA BELGHERBI ◽  
ISMAHEN HADJIDJ ◽  
ABDELHAFID BESSAID

The phase of segmentation is an important step in the processing and interpretation of medical images. In this paper, we focus on the segmentation of kidneys from the abdomen computed tomography (CT) images. The importance of our study comes from the fact that the segmentation of kidneys from CT images is usually a difficult task. This difficulty is the gray's level which is similar to the spine level. Our proposed method is based on the anatomical information and mathematical morphology tools used in the image processing field. At first, we try to remove the spine by applying morphological filters. This first step makes the extraction of interest regions easier. This step is fulfilled by using various transformations such as the geodesic reconstruction. In the second step, we apply the watershed algorithm controlled by marker for kidney segmentation. The validation of the developed algorithm is done using several images. Obtained results show the good performances of our proposed algorithm.


Author(s):  
Xiongbiao Luo ◽  
Wankang Zeng ◽  
Wenkang Fan ◽  
Song Zheng ◽  
Jianhui Chen ◽  
...  

2010 ◽  
Author(s):  
Jiamin Liu ◽  
Jacob M. White ◽  
Ronald M. Summers

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