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Title: MRI-based elastic-mapping method for inter-subject comparison of brain FDG-PET images

Abstract

Inter-subject anatomic differences prohibits direct image-wise statistical evaluation of brain FDG-PET images of Alzheimer`s disease (AD) patients. In this study, we propose a MRI-based elastic-mapping method which enables image-wise evaluation. The method involves intra-subject MR-PET registration, 3-D elastic mapping of two set of MR images, and elastically transforming the co-registered PET images. The MR-PET registration used simulated PET images, which were based on segmentation of MR images. In the 3-D elastic mapping stage, first a global linear scaling was applied to compensate for brain size difference, then a deformation field was obtained by minimizing the regional sum of squared difference between the two sets of MR images. Two groups (AD patient and normal control), each with three subjects, were included in the current study. After processing, images from all subjects have similar shapes. Averaging the images across all subjects (either within the individual group or for both groups) give images indistinguishable from original single subject FDG images (i.e. without much spatial resolution loss), except with lower image noise level. The method is expected to allow statistical image-wise analysis to be performed across different subjects.

Authors:
; ; ; ;  [1]
  1. UCLA School of Medicine, Los Angeles, CA (United States) [and others
Publication Date:
OSTI Identifier:
513568
Report Number(s):
CONF-961123-
CNN: Grant MH52453;Grant CA56655;Grant IIRG-94-101; TRN: 97:014351
Resource Type:
Conference
Resource Relation:
Conference: Institute of Electrical and Electronic Engineers (IEEE) nuclear science symposium and medical imaging conference, Anaheim, CA (United States), 2-9 Nov 1996; Other Information: PBD: 1996; Related Information: Is Part Of 1996 IEEE nuclear science symposium - conference record. Volumes 1, 2 and 3; Del Guerra, A. [ed.]; PB: 2138 p.
Country of Publication:
United States
Language:
English
Subject:
55 BIOLOGY AND MEDICINE, BASIC STUDIES; 44 INSTRUMENTATION, INCLUDING NUCLEAR AND PARTICLE DETECTORS; 99 MATHEMATICS, COMPUTERS, INFORMATION SCIENCE, MANAGEMENT, LAW, MISCELLANEOUS; POSITRON COMPUTED TOMOGRAPHY; COMPARATIVE EVALUATIONS; NMR IMAGING; BRAIN; DATA ACQUISITION; MAPPING; THREE-DIMENSIONAL CALCULATIONS

Citation Formats

Yang, J., Huang, S.C., Lin, K.P., Small, G., and Phelps, M.E.. MRI-based elastic-mapping method for inter-subject comparison of brain FDG-PET images. United States: N. p., 1996. Web.
Yang, J., Huang, S.C., Lin, K.P., Small, G., & Phelps, M.E.. MRI-based elastic-mapping method for inter-subject comparison of brain FDG-PET images. United States.
Yang, J., Huang, S.C., Lin, K.P., Small, G., and Phelps, M.E.. Tue . "MRI-based elastic-mapping method for inter-subject comparison of brain FDG-PET images". United States. doi:.
@article{osti_513568,
title = {MRI-based elastic-mapping method for inter-subject comparison of brain FDG-PET images},
author = {Yang, J. and Huang, S.C. and Lin, K.P. and Small, G. and Phelps, M.E.},
abstractNote = {Inter-subject anatomic differences prohibits direct image-wise statistical evaluation of brain FDG-PET images of Alzheimer`s disease (AD) patients. In this study, we propose a MRI-based elastic-mapping method which enables image-wise evaluation. The method involves intra-subject MR-PET registration, 3-D elastic mapping of two set of MR images, and elastically transforming the co-registered PET images. The MR-PET registration used simulated PET images, which were based on segmentation of MR images. In the 3-D elastic mapping stage, first a global linear scaling was applied to compensate for brain size difference, then a deformation field was obtained by minimizing the regional sum of squared difference between the two sets of MR images. Two groups (AD patient and normal control), each with three subjects, were included in the current study. After processing, images from all subjects have similar shapes. Averaging the images across all subjects (either within the individual group or for both groups) give images indistinguishable from original single subject FDG images (i.e. without much spatial resolution loss), except with lower image noise level. The method is expected to allow statistical image-wise analysis to be performed across different subjects.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Dec 31 00:00:00 EST 1996},
month = {Tue Dec 31 00:00:00 EST 1996}
}

Conference:
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