Journal article
Segmentation techniques for the classification of brain tissue using magnetic resonance imaging
Psychiatry research. Neuroimaging, Vol.45(1), pp.33-51
1992
DOI: 10.1016/0925-4927(92)90012-S
PMID: 1410077
Abstract
A technique is described for classifying brain tissue into three components: gray matter, white matter and cerebrospinal fluid. This technique uses simultaneously registered proton density and T
2-weighted images. Samples of each of the three types of tissue are identified on both image sets and used as “training classes”; these tissue samples are then used to generate a linear discriminant function, which is used to classify the remaining pixels in the image data set. Effects of varying the location and number of training classes have been explored; six pairs of training classes have been found to yield a suitable classification. Interrater and test-retest reliability have been examined and found to be good. Intrascanner and interscanner reproducibility has also been evaluated; classification rates are reproducible within the same individual when the same scanner is used, but in this study poor reproducibility occurs when the same individual is scanned on two different scanners. The validity of the technique has been tested by examining correlations between traced and segmented regions of interest, evaluating correlations with age, and conducting phantom studies, in addition to using visual inspection of the classified images as an indication of face validity. From all four perspectives, the method has been found to have good validity. Additional applications, strengths and limitations are discussed.
Details
- Title: Subtitle
- Segmentation techniques for the classification of brain tissue using magnetic resonance imaging
- Creators
- Gregg Cohen - Gregg Cohen, M.S., is Research Scientist, Department of Psychiatry; Nancy C. Andreasen, M.D., Ph.D., is Professor of Psychiatry and Director, Mental Health Clinical Research Center U.S.ANancy C Andreasen - Gregg Cohen, M.S., is Research Scientist, Department of Psychiatry; Nancy C. Andreasen, M.D., Ph.D., is Professor of Psychiatry and Director, Mental Health Clinical Research Center U.S.ARandall Alliger - Randall Alliger, Ph.D., is Research Scientist, Department of Psychiatry; Stephan Arndt, Ph.D., is Research Scientist, Department of Psychiatry and James Kuan, M.D., is Postdoctoral Fellow, Mental Health Clinical Research Center, Department of Psychiatry, The University of Iowa Hospitals and Clinics, Iowa City, IAU.S.AStephan Arndt - Randall Alliger, Ph.D., is Research Scientist, Department of Psychiatry; Stephan Arndt, Ph.D., is Research Scientist, Department of Psychiatry and James Kuan, M.D., is Postdoctoral Fellow, Mental Health Clinical Research Center, Department of Psychiatry, The University of Iowa Hospitals and Clinics, Iowa City, IAU.S.AJames Kuan - Randall Alliger, Ph.D., is Research Scientist, Department of Psychiatry; Stephan Arndt, Ph.D., is Research Scientist, Department of Psychiatry and James Kuan, M.D., is Postdoctoral Fellow, Mental Health Clinical Research Center, Department of Psychiatry, The University of Iowa Hospitals and Clinics, Iowa City, IAU.S.AWilliam T.C Yuh - William T.C. Yuh, M.D., E.E. and James Ehrhardt, Ph.D., are Professors of Radiology, Department of Radiology, The University of Iowa Hospitals and Clinics, Iowa City, IAU.S.AJames Ehrhardt - William T.C. Yuh, M.D., E.E. and James Ehrhardt, Ph.D., are Professors of Radiology, Department of Radiology, The University of Iowa Hospitals and Clinics, Iowa City, IAU.S.A
- Resource Type
- Journal article
- Publication Details
- Psychiatry research. Neuroimaging, Vol.45(1), pp.33-51
- DOI
- 10.1016/0925-4927(92)90012-S
- PMID
- 1410077
- NLM abbreviation
- Psychiatry Res Neuroimaging
- ISSN
- 0925-4927
- eISSN
- 1872-7506
- Publisher
- Elsevier Ireland Ltd
- Language
- English
- Date published
- 1992
- Academic Unit
- Radiology; Psychiatry; Iowa Neuroscience Institute; Biostatistics; Nursing; Injury Prevention Research Center
- Record Identifier
- 9984003410102771
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