Automatic Abdominal Organ Segmentation from CT images
نویسندگان
چکیده
منابع مشابه
Automatic Abdominal Organ Segmentation from CT images
In the recent years a great deal of research work has been devoted to the development of semi-automatic and automatic techniques for the analysis of abdominal CT images. Some of the current interests are the automatic diagnosis of liver, spleen, and kidney pathologies and the 3D volume rendering of the abdominal organs. The first and fundamental step in all these studies is the automatic organs...
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This paper reviews different methods that have been used to automatically extract organ regions from abdominal CT (computerized tomography) data. These techniques include mathematical morphology, neural networks, model-fitting, levelset methods, thresholding, edge-detection, and knowledge-based classification.
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Currently, multi-organ segmentation (MOS) in abdominal CT can fail to handle clinical patient population with missing organs due to surgical resection. In order to enable the state-of-the-art MOS for these clinically important cases, we propose (1) automatic missing organ detection (MOD) by testing abnormality of post-surgical organ motion and organ-specific intensity homogeneity, and (2) atlas...
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ژورنال
عنوان ژورنال: ELCVIA Electronic Letters on Computer Vision and Image Analysis
سال: 2009
ISSN: 1577-5097
DOI: 10.5565/rev/elcvia.206