랜덤 포레스트를 이용한 X-선 혈관조영영상에서의 혈관 자동 영역화 알고리즘An Automatic Algorithm for Vessel Segmentation in X-Ray Angiogram using Random Forest
- Other Titles
- An Automatic Algorithm for Vessel Segmentation in X-Ray Angiogram using Random Forest
- Authors
- 정성희; 이수찬; 심학준; Ho Yub Jung; 허용석; 장혁재
- Issue Date
- 2015
- Publisher
- 대한의용생체공학회
- Keywords
- Vessel segmentation; X-Ray angiogram; Random Forest
- Citation
- 의공학회지, v.36, no.4, pp 79 - 85
- Pages
- 7
- Journal Title
- 의공학회지
- Volume
- 36
- Number
- 4
- Start Page
- 79
- End Page
- 85
- URI
- https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/11256
- ISSN
- 1229-0807
2288-9396
- Abstract
- The purpose of this study is to develop an automatic algorithm for vessel segmentation in X-Ray angiogram using Random Forest (RF). The proposed algorithm is composed of the following steps: First, the multiscale hessian-based filtering is performed in order to enhance the vessel structure. Second, eigenvalues and eigenvectors of hessian matrix are used to learn the RF classifier as feature vectors. Finally, we can get the result through the trained RF. We evaluated the similarity between the result of proposed algorithm and the manual segmentation using 349 frames, and compared with the results of the following two methods: Frangi et al. [1] and Krissian et al. [2]. According to the experimental results, the proposed algorithm showed high similarity compared to other two methods.
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