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Anatomical-Functional Correlation Using an Adjustable MRI-Based Region of Interest Atlas with Positron Emission Tomography
Open accessAbstract
A procedure is described for combining anatomical information from magnetic resonance imaging (MRI) or computerized tomography (CT) and functional information from positron emission tomography (PET) in a rapid fashion. MRI data are combined with a procedure for the definition, storage, and recall of anatomically based regions of interest. An atlas of standard regions of interest, defined for a set of 18 parallel planes spaced at 6-mm intervals, provides an initial region of interest template for each patient slice. Global adjustments to scale, orientation, and position are applied to obtain an initial match. Individual regions of interest may then be moved, deleted, or redrawn as needed. The ability to store region of interest templates ensures reproducibility of analysis over long periods and introduces a standardization of analysis technique. In 25 brain structures, the mean coefficient of variation in cerebral glucose utilization rate (CMRGlc) measurements among five neuroanatomically trained observers was reduced from 8.1% for manual region of interest definition to 4.0% using the template approach with MRI. Template analysis for space-occupying lesions such as tumors or infarcts is illustrated with PET data from a stroke study, emphasizing the facility for rapid, reproducible analysis of multifunctional studies. MRI-PET matching for a structurally intact caudate nucleus having reduced CMRGlc in Huntington's disease emphasizes the accuracy of anatomical localization required to quantify small structures.
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Cited by
Hill, D. L. G., Batchelor, P. G., Holden, M., & Hawkes, D. J. (2001) · Physics in Medicine and Biology · doi:10.1088/0031-9155/46/3/201 · Cited by 2,093
Andreasen, N. C., O'Leary, D. S., Cizadlo, T., Arndt, S., Rezai, K., Ponto, L. L., Watkins, G. L., & Hichwa, R. D. (1996) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.93.18.9985 · Cited by 625
Computational anatomy: an emerging discipline
Grenander, U., & Miller, M. I. (1998) · Quarterly of Applied Mathematics · doi:10.1090/qam/1668732 · Cited by 623
Neurologic Sequelae of Domoic Acid Intoxication Due to the Ingestion of Contaminated Mussels
Teitelbaum, J. S., Zatorre, R. J., Carpenter, S., Gendron, D., Evans, A. C., Gjedde, A., & Cashman, N. R. (1990) · New England Journal of Medicine · doi:10.1056/nejm199006213222505 · Cited by 555
Self-citationOn the Metrics and Euler-Lagrange Equations of Computational Anatomy
Miller, M. I., Trouvé, A., & Younes, L. (2002) · Annual Review of Biomedical Engineering · doi:10.1146/annurev.bioeng.4.092101.125733 · Cited by 438
Metadata
- Authors
- Evans, A. C., Beil, C., Marrett, S., Thompson, C. J., & Hakim, A.
- Venue
- Journal of Cerebral Blood Flow & Metabolism
- Publisher
- SAGE Publications
- Published
- 1988-08
- Volume
- 8
- Issue
- 4
- Pages
- 513-530
- ISSN
- 0271-678X (ISSN-L)
- 1559-7016
- OpenAlex
- W2083233509
- Cited by
- 232
- References
- 0
- FWCI
- 15.57
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Evans, A. C., Beil, C., Marrett, S., Thompson, C. J., & Hakim, A. (1988). Anatomical-Functional Correlation Using an Adjustable MRI-Based Region of Interest Atlas with Positron Emission Tomography. Journal of Cerebral Blood Flow & Metabolism. https://doi.org/10.1038/jcbfm.1988.92
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