Tumor localization and identification

Peter Bloch, Mark Bryer, Robert E. Lenkinski, W. Gillies McKenna

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

Abstract

To demonstrate the tissue differentiation potential of MR (magnetic resonance) imaging studies, preliminary data were acquired on the distribution of proton spin-spin relaxation time, T2, in normal and malignant tissues in twenty patients with head and neck tumors. Malignant tissue generally has longer proton relaxation times than found in normal tissues. The T2 distributions within neck and neck tumors were both elevated and broader than found in normal issues. The regional distribution of the T2 values indicated that the maximum T2 values are near the tumor center and decreased in the MRI slices at the tumor periphery. It is concluded that the T2 distribution provides information for delineating the extent of abnormal tissue even without a complete understanding of the mechanism(s) leading to the elevated and broad T2 distribution within the tumor bed.

Original languageEnglish (US)
Title of host publicationBiomedical Engineering Perspectives
Subtitle of host publicationHealth Care Technologies for the 1990's and Beyond
PublisherPubl by IEEE
Pages423-424
Number of pages2
Editionpt 1
ISBN (Print)0879425598
StatePublished - Dec 1 1990
EventProceedings of the 12th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Philadelphia, PA, USA
Duration: Nov 1 1990Nov 4 1990

Publication series

NameProceedings of the Annual Conference on Engineering in Medicine and Biology
Numberpt 1
ISSN (Print)0589-1019

Other

OtherProceedings of the 12th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CityPhiladelphia, PA, USA
Period11/1/9011/4/90

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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  • Cite this

    Bloch, P., Bryer, M., Lenkinski, R. E., & McKenna, W. G. (1990). Tumor localization and identification. In Biomedical Engineering Perspectives: Health Care Technologies for the 1990's and Beyond (pt 1 ed., pp. 423-424). (Proceedings of the Annual Conference on Engineering in Medicine and Biology; No. pt 1). Publ by IEEE.