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Proceedings Paper

Automatic nonrigid registration of MR and PET images
Author(s): Junki Lee; June-Sic Kim; Jae Seok Kim; In Young Kim; Sun Il Kim
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Paper Abstract

Registration of functional PET and MR images is a necessary step for combining functional information from PET images with anatomical information in MR images. But, the methods published are non-automatic or rigid body transformation. In this paper, we present a method that mapping PET image onto the MR image with automatic non-rigid transformation. The method is largely composed of two parts. First part is the segmentation and extracting the features of both MR and PET by using FCM and morphological methods. And, second part is the non-rigid mapping of PET image onto the PET template and MR image onto MR template. The templates are made from 20 PET images and 20 MR images each other. And, the MR template is registered with PET template. In non-rigid mapping, we use Bayesian framework in which statistical information on the imaging process is combined with prior information on expected template deformations to make inferences about the parameters of the deformation field. The method newly defines intensity similarity between the deforming scan and the target brain. Intensity similarity combined with prior information is used to generate deformation field. We applied our algorithm to PET and T1-weighted MR images from many patients. The registered images were validated by physicians. And we got the satisfactory results.

Paper Details

Date Published: 3 July 2001
PDF: 7 pages
Proc. SPIE 4322, Medical Imaging 2001: Image Processing, (3 July 2001); doi: 10.1117/12.431047
Show Author Affiliations
Junki Lee, Hanyang Univ. (South Korea)
June-Sic Kim, Hanyang Univ. (South Korea)
Jae Seok Kim, Hanyang Univ. (South Korea)
In Young Kim, Hanyang Univ. (South Korea)
Sun Il Kim, Hanyang Univ. (South Korea)


Published in SPIE Proceedings Vol. 4322:
Medical Imaging 2001: Image Processing
Milan Sonka; Kenneth M. Hanson, Editor(s)

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