Fractional segmentation of white matter

Simon K. Warfield, Carl Fredrik Westin, Charles R G Guttmann, Marilyn Albert, Ferenc A. Jolesz, Ron Kikinis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Abnormalities in the white matter of the brain are common to subjects with multiple sclerosis and Alzheimer’s disease. They also develop in normal, asymptomatic, subjects and appear more frequently with age. Clinically, it is interesting to be able to differentiate between different disease states and to find markers which allow early diagnosis. Conventional spin echo (CSE) magnetic resonance imaging (MRI) is sensitive to these white matter changes and has frequently been applied to their study. Previous approaches to investigate white matter abnormalities have often been reported to have difficulty distinguishing between normal gray matter and abnormal white matter due to their similar appearance in MRI. Earlier methods have also often generated binary classifications, reporting white matter as either normal or abnormal. We have developed a new approach which first identifies the region of white matter using a template moderated spatially varying classification, and then estimates the degree of white matter abnormality present at each voxel of the white matter. This fractional segmentation allows us to preserve the heterogeneous characteristics of white matter abnormalities and to investigate both focal and diffuse white matter damage. We compute, from the fractional segmentation, a white matter spectrum showing the different levels of white matter damage present in each subject. We applied this automated image segmentation method to over 996 MRI scans of subjects affected by multiple sclerosis, 72 normal aging subjects and 29 scans of subjects with Alzheimer’s disease. We investigated the ability to characterize these different subject groups based upon tissue volumes determined by spatially varying classification, and by the fractional segmentation of the white matter of each patient.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages62-72
Number of pages11
Volume1679
ISBN (Print)354066503X, 9783540665038
StatePublished - 1999
Externally publishedYes
Event2nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 1999 - Cambridge, United Kingdom
Duration: Sep 19 1999Sep 22 1999

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1679
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other2nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 1999
CountryUnited Kingdom
CityCambridge
Period9/19/999/22/99

Fingerprint

Magnetic Resonance Imaging
Magnetic resonance
Multiple Sclerosis
Fractional
Alzheimer's Disease
Segmentation
Imaging techniques
Damage
Binary Classification
Voxel
Differentiate
Image segmentation
Image Segmentation
Template
Brain
Aging of materials
Tissue
Estimate

Keywords

  • Alzheimer’s disease
  • Automatic segmentation
  • Brain
  • Multiple sclerosis
  • Normal aging
  • White matter

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Warfield, S. K., Westin, C. F., Guttmann, C. R. G., Albert, M., Jolesz, F. A., & Kikinis, R. (1999). Fractional segmentation of white matter. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1679, pp. 62-72). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1679). Springer Verlag.

Fractional segmentation of white matter. / Warfield, Simon K.; Westin, Carl Fredrik; Guttmann, Charles R G; Albert, Marilyn; Jolesz, Ferenc A.; Kikinis, Ron.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1679 Springer Verlag, 1999. p. 62-72 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1679).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Warfield, SK, Westin, CF, Guttmann, CRG, Albert, M, Jolesz, FA & Kikinis, R 1999, Fractional segmentation of white matter. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 1679, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1679, Springer Verlag, pp. 62-72, 2nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 1999, Cambridge, United Kingdom, 9/19/99.
Warfield SK, Westin CF, Guttmann CRG, Albert M, Jolesz FA, Kikinis R. Fractional segmentation of white matter. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1679. Springer Verlag. 1999. p. 62-72. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Warfield, Simon K. ; Westin, Carl Fredrik ; Guttmann, Charles R G ; Albert, Marilyn ; Jolesz, Ferenc A. ; Kikinis, Ron. / Fractional segmentation of white matter. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1679 Springer Verlag, 1999. pp. 62-72 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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