A Self-adaptive Vector Quantization Algorithm for MR Image Segmentation
نویسندگان
چکیده
We present a new fully automatic algorithm for MR image segmentation. The MR image data is first interpolated for an adequate local feature vector on each voxel. Then, a two-level segmentation scheme is applied. One is a data-oriented low level segmentation, which is based on a modified self-adaptive on-line vector quantization technique. The other is a goal-directed high level processing, which depends on anatomical knowledge. The presented algorithm is robust, efficient, and self-adaptive. Experimental results on brain MR images are presented.*
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