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Proceedings Paper

Tissue Discrimination In Magnetic Resonance 3D Data Sets
Author(s): H. A. Koenig; G. Laub
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Paper Abstract

An algorithm was designed to discriminate tissue types, including pathology, utilizing 3D data sets acquired with Magnetic Resonance. This procedure can be adapted to different segmentation problems and works automatically for the whole data set after an interactive training on one representative slice out of the volume. 3D surface reconstruction with ray tracing methods is used to visualize different soft tissue types, according to the classification procedure to yield optimal anatomical and topographical relationships.

Paper Details

Date Published: 27 June 1988
PDF: 4 pages
Proc. SPIE 0914, Medical Imaging II, (27 June 1988); doi: 10.1117/12.968697
Show Author Affiliations
H. A. Koenig, Siemens Medical Systems (Germany)
G. Laub, Siemens Medical Systems (Germany)


Published in SPIE Proceedings Vol. 0914:
Medical Imaging II
Samuel J. Dwyer; Roger H. Schneider; Roger H. Schneider; Samuel J. Dwyer; Samuel J. Dwyer; Roger H. Schneider, Editor(s)

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