1991
DOI: 10.1038/jcbfm.1991.40
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MRI-PET Correlation in Three Dimensions Using a Volume-of-Interest (VOI) Atlas

Abstract: Summary: Quantitative interpretation of functional im ages (PET or SPECT) is hampered by poor spatial reso lution, low counting statistics, and, for many tracers, low contrast between different brain structures of interest. Furthermore, normal tracer distributions can be severely disrupted by such gross pathologies as stroke, tumor, and dementia. Hence, the complementary anatomical infor mation provided by CT or MRI is essential for accurate and reproducible regional analysis of functional data. We have develo… Show more

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Cited by 256 publications
(106 citation statements)
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“…For example, a brain atlas, with multiple segmented brain regions, will be 'warped' into new MRI data sets in order to delineate specific regions of interest (e.g. Anderson et al, 1998;Collins et al, 1992;Evans et al, 1991;Gee et al, 1993;Iosifescu et al, 1997;Kikinis et al, 1996;Shenton et al, 1995;Tiede et al, 1993). This approach will enable the segmentation of multiple regions of interest in a large number of subjects.…”
Section: Summary Of Mri Findings and Future Directions For Researchmentioning
confidence: 99%
“…For example, a brain atlas, with multiple segmented brain regions, will be 'warped' into new MRI data sets in order to delineate specific regions of interest (e.g. Anderson et al, 1998;Collins et al, 1992;Evans et al, 1991;Gee et al, 1993;Iosifescu et al, 1997;Kikinis et al, 1996;Shenton et al, 1995;Tiede et al, 1993). This approach will enable the segmentation of multiple regions of interest in a large number of subjects.…”
Section: Summary Of Mri Findings and Future Directions For Researchmentioning
confidence: 99%
“…The PET images were reconstructed with a 20-mm Hanning filter to overcome residual anatomical variability. PET data were normalized for global regional CBF (rCBF) and averaged across subjects for each activation state, and the mean rCBF difference image volume was obtained (17). This volume was converted to a t-statistic volume by dividing each voxel by the mean SD in normalized CBF for all intracerebral voxels (19).…”
mentioning
confidence: 99%
“…Each subject also underwent a high-resolution MRI scan (160 slices; 1 mm thick) obtained with a Philips ACS system (1.5 T). The MRI volumes were coregistered with the PET data (17) and each matched pair of MRI and PET data sets was linearly resampled into a standardized stereotaxic coordinate system (17,18). The PET images were reconstructed with a 20-mm Hanning filter to overcome residual anatomical variability.…”
mentioning
confidence: 99%
“…The PET scanner was aligned according to this line. PET scans were coregistered with MRI scans for accurate anatomical positioning of regions of interest (frontal cortex and cerebellum) using the computer program "Register" developed at the McGill University, Montreal, Canada (Evans et al 1991). This program reslices the MRI images to the plane of the PET images.…”
Section: Pet Proceduresmentioning
confidence: 99%