Automatic Prostate Segmentation using Shape and Gradient Information in MR Images(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009))

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概要

• 論文の詳細を見る

• To detect the prostate cancer and assess the tumor stage, we present an automatic segmentation method that uses a prior knowledge of prostate shape to arrive at the exact prostate contour in MR images. First, statistical shape model of the prostate is constructed by using parametric mapping and PCA analysis. Then, the prostate contour is delineated by using Active Shape Model. To improve the segmentation of the apex in patients with prostatic hypertrophy, the two-dimensional correction method using gradient information is proposed. Our method has been applied to ten MR data sets. The result was evaluated using radiologist's manual segmentation. The average distance difference error was 0.36mm and the overlapping volume ratio was 95%.

• 社団法人電子情報通信学会の論文
• 2009-01-12

著者

• Hong Helen

  Division of Multimedia Engineering, Seoul Women's University

• Hwang Sung

  Dept. Of Radiology Seoul National University Bundang Hospital

• Hong Helen

  Division Of Multimedia Engineering College Of Information And Media Seoul Women's University

• Jang Yu

  Division Of Multimedia Engineering College Of Information And Media Seoul Women's University

• Lee Hak

  Dept. of Radiology Seoul National University Bundang Hospital

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• Automatic Prostate Segmentation using Shape and Gradient Information in MR Images(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009))
• Automatic Myocardial Segmentation of the Left Ventricle in Cardiac CT Dataset(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009))
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