论文信息 - Similar MRI object retrieval based on modified contour to centroid triangulation with arc difference rate

Similar MRI object retrieval based on modified contour to centroid triangulation with arc difference rate

In this paper, we propose a new image retrieval method based on Sectored Contour to Centroid Triangulation (SCTCT) using distinctive shape feature, named Arc Difference Rate (ADR). We utilized Support Vector Machine (SVM) method as an extraction tool to extract suspicious tumor area as binary object image from the breast MRI. Therefore extracted 100 binary object images are used as test cases in the experimental study. The results from proposed method show the improvement in finding correct matches compare to the traditional SCTCT.

Wei Wang | Sung Y. Shin | Hyung Do Choi | Byung K. Jung | Jeong K. Pack

[1] Zhe Li,et al. A sectorized object matching approach for breast magnetic resonance image similarity study , 2012, RACS.

[2] Pepe Siy,et al. Robust shape similarity retrieval based on contour segmentation polygonal multiresolution and elastic matching , 2005, Pattern Recognit..

[3] Michael Kohnen,et al. Content-based image retrieval in medical applications for picture archiving and communication systems , 2003, SPIE Medical Imaging.

[4] Chuin-Mu Wang,et al. Classification for Breast MRI Using Support Vector Machine , 2008, 2008 IEEE 8th International Conference on Computer and Information Technology Workshops.

[5] Seong-Ho Son,et al. Magnetic resonance image retrieval based on contour to centroid triangulation with shape feature similarity , 2013, RACS.