Improvement of snake model for ventricle segmentation in MRI(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009))

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概要

• 論文の詳細を見る

• The purpose of our study is ventricle segmentation in MRI. segmentation subdivided an image into its consistency regions or objects. the level detail to which the subdivision is carried depends on the being solved. segmentation should stop when the objects or region of interest in an application have been detected. Active contours, or snakes, are used extensively in computer vision and image processing applications, particularly to locate object boundaries. the most representative algorithm is gradient vector fow (GVF). Our proposed algorithm is new type of external energy of GVF for exact segmentation. experiments show good performance of corpus callosum segmentation in MRI. The results can be quantitative analyzed.

• 2009-01-12

著者

• CHOI Seokyoon

  Dept. of Medical Engineering, Korea University

• KIM Mingi

  Dept. of Electronics & Information Engineering, Korea University

• Kim Mingi

  Department Of Electronics & Information Engineering Korea University

• Choi Seokyoon

  Department Of Electronics & Information Engineering Korea University

• KIM Hochul

  Dept. of Electronics & Information Engineering, Korea University

• CHOI Khanghee

  Dept. of Electronics & Information Engineering, Korea University

• Kim Hochul

  Biomedical Engineering Biomedical Science Of Brain Korea 21 Korea University:korea Artificial Organ

• Choi Kwanghee

  Department Of Electronics & Information Engineering Korea University

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• Improvement of snake model for ventricle segmentation in MRI(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009))
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