14 November 2007 3D medical image multi-material segmentation approach based on threshold
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Proceedings Volume 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 678917 (2007) https://doi.org/10.1117/12.750590
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
A multi-material segmentation framework which is able to separate a given 3D image into more than two segments is discussed. First, the original volume image was segmented by 3D thresholding algorithm. Different parts and materials can be got by setting the appropriate thresholds. Then the segmented parts were filled into a blank 3D image one after another, and the multi-material segmented image was achieved. Finally, the result was visualized with volume rendering method. This framework was developed based on the VTK and ITK libraries. An example of head in CT series images segmented by this approach is presented.
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Weilin Hao, Jianjun Du, Youjun Liu, "3D medical image multi-material segmentation approach based on threshold", Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 678917 (14 November 2007); doi: 10.1117/12.750590; https://doi.org/10.1117/12.750590
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