ファジィインフォメーショングラニュレーションのMRA画像への適用(一般講演1)

抄録

This paper shows an application of fuzzy information granulation to medical image segmentation for MR angiography image. The method treats medical image as information, and the granules are the anatomical parts such as blood vessel, fat, etc. Our granulation method consists of two stages : (1) Quantum generation and (2) Integration of them to produce granules. Quantum generation is performed with watershed segmentation. Integration process is achievedby estimating the degree for predefined models. By granulating MR angiography image, we obtain the bloodvessel region. In the experimental results, we show the target M IP and shaded surface display images of the segmented region. They are useful for evaluating the lesions such as the areury.