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Prostate MR and Pathology Image Fusion through Image Correction and Multi-stage Registration  

Jung, Ju-Lip (서울여자대학교 컴퓨터학과)
Jo, Hyun-Hee (서울여자대학교 컴퓨터학과)
Hong, Helen (서울여자대학교 미디어학부)
Publication Information
Journal of KIISE:Computing Practices and Letters / v.15, no.9, 2009 , pp. 700-704 More about this Journal
Abstract
In this paper, we propose a method for combining MR image with histopathology image of the prostate using image correction and multi-stage registration. Our method consists of four steps. First, the intensity of prostate bleeding area on T2-weighted MR image is substituted for that on T1-weighted MR image. And two or four tissue sections of the prostate in histopathology image are combined to produce a single prostate image by manual stitching. Second, rigid registration is performed to find the affine transformations that to optimize mutual information between MR and histopathology images. Third, the result of affine registration is deformed by the TPS warping. Finally, aligned images are visualized by the intensity intermixing. Experimental results show that the prostate tumor lesion can be properly located and clearly visualized within MR images for tissue characterization comparison and that the registration error between T2-weighted MR and histopathology image was 0.0815mm.
Keywords
MR Image; Histopathology Image; Prostate; Rigid Registration; Nonrigid Registration; Fusion; Stitching; Mutual Information; TPS Warping;
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