A general technique for interstudy registration of multifunction and multimodality images
- Univ. of California, Los Angeles, CA (United States). School of Medicine
A technique that can register anatomic/structural brain images (e.g., MRI) with various functional images (e.g., PET-FDG and PET-FDOPA) of the same subject has been developed. The procedure of this technique includes the following steps: (1) segmentation of MRI brain images into gray matter (GM), white matter (WM), cerebral spinal fluid (CSF), and, muscle (MS) components, (2) assignment of appropriate radio-tracer concentrations to various components depending on the kind of functional image that is being registered, (3) generation of simulated functional images to have a spatial resolution that is comparable to that of the measured ones, (4) alignment of the measured functional images to the simulated ones that are based on MRI images. A self-organization clustering method is used to segment the MRI images. The image alignment is based on the criterion of least squares of the pixel-by-pixel differences between the two sets of images that are being matched and on the Powell's algorithm for minimization. The technique was applied successfully for registering the MRI, PET-FDG, and PET-FDOPA images. This technique offers a general solution to the registration of structural images to functional images and to the registration of different functional images of markedly different distributions.
- DOE Contract Number:
- FC03-87ER60615
- OSTI ID:
- 6706290
- Report Number(s):
- CONF-931051-; CODEN: IETNAE
- Journal Information:
- IEEE Transactions on Nuclear Science (Institute of Electrical and Electronics Engineers); (United States), Vol. 41:6Pt2; Conference: NSS-MIC '93: nuclear science symposium and medical imaging conference, San Francisco, CA (United States), 30 Oct - 6 Nov 1993; ISSN 0018-9499
- Country of Publication:
- United States
- Language:
- English
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