Rerence

주식회사 메디칼이노베이션디벨로퍼에 오신것을 환영합니다.
주식회사 메디칼이노베이션디벨로퍼의 다양한 레퍼런스를 보실 수 있습니다.

REFERENCE

더나은 미래를 위한 도약, 주식회사 메디칼이노베이션디벨로퍼가 함께합니다.

작성자 M.I.D

[논문] Improvement of snake model for ventricle segmentation in MRI

본문

Improvement of snake model for ventricle segmentation in MRI
(뇌실 분할방법 연구)

IEICE technical report
IEICE technical report 108(385), 165-168, 2009-01-12
The Institute of Electronics, Information and Communication Engineers


Choi Seokyoon / Dept. of Medical Engineering, Korea University,  Kim Hochul / Dept. of Electronics&Information Engineering, Korea University,  Choi Khanghee / Dept. of Electronics&Information Engineering, Korea University,  Kim Mingi / Dept. of Electronics&Information Engineering, Korea University



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.

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