Automated detection and quantification of multiple sclerosis lesions in MR volumes of the brain

Joseph Ross Mitchell, Steven Karlik, Donald Lee, Aaron Fenster

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

5 Scopus citations

Abstract

MRI is the principle technique for the diagnosis of multiple sclerosis. However, manually quantifying the number and extent of lesions in MR images is arduous. Therefore, we are developing a computerized 3-D quantitative system to determine the lesions' extent and their changes in time. Our system uses proton density (PD) and T2 weighted MR volumes. A 2-D histogram showing the frequency of voxels with particular PD and T2 weighted intensities reveals that white matter, grey matter (GM), and cerebro-spinal fluid voxels correspond to distinct clusters in this histogram and can be classified on this basis. However, many true MSlesion voxels have PD and T2 weighted intensities similar to GM. Therefore, on the basis of location in the histogram alone, it is difficult to differentiate all lesions voxels from GM voxels. However, some lesions have a distinctive `peak' in the 2-D histogram which can be used to identify them successfully. Using this system it is possible to assess and monitor changes in time for these lesions. To demonstrate this ability, four MR examinations of a single chronic-progressive MS patient obtained over a 510 day period were analyzed using our system. Three-dimensional volume rendering and measurement of the results clearly shows changes in lesion shape, position, and size.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
Place of PublicationBellingham, WA, United States
PublisherPubl by Int Soc for Optical Engineering
Pages99-106
Number of pages8
Volume1652
ISBN (Print)0819408042
StatePublished - 1992
Externally publishedYes
EventMedical Imaging VI: Image Processing - Newport Beach, CA, USA
Duration: Feb 24 1992Feb 27 1992

Other

OtherMedical Imaging VI: Image Processing
CityNewport Beach, CA, USA
Period2/24/922/27/92

    Fingerprint

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

Mitchell, J. R., Karlik, S., Lee, D., & Fenster, A. (1992). Automated detection and quantification of multiple sclerosis lesions in MR volumes of the brain. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 1652, pp. 99-106). Publ by Int Soc for Optical Engineering.