论文信息 - Tracking the LV in velocity MR images using fuzzy clustering

Tracking the LV in velocity MR images using fuzzy clustering

Tracking the LV in cine MR cardiac images is a challenging com puting application that is also relevant to the needs of clinicians. Using fuzzy clustering as the metho d of segmentation, this paper reports on whether velocity data can improve the accuracy of the results obtain ed through only tissue data.

P. Burger | A. I. Shihab

[1] M.C. Clark,et al. MRI segmentation using fuzzy clustering techniques , 1994, IEEE Engineering in Medicine and Biology Magazine.

[2] Dmitry B. Goldgof,et al. Utilizing fuzzy c-Shells for automatic approximate LV location for initialization of myocardial structure and function analysis algorthms , 1994, Medical Imaging.

[3] James C. Bezdek,et al. Pattern Recognition with Fuzzy Objective Function Algorithms , 1981, Advanced Applications in Pattern Recognition.

[4] Abdel-Ouahab Boudraa,et al. Left ventricle automated detection method in gated isotopic ventriculography using fuzzy clustering , 1993, IEEE Trans. Medical Imaging.