Knowledge-guided automatic thresholding for 3-dimensional display of head MRI images

A segmentor is described which automatically extracts soft tissues from the multisliced magnetic resonance imaging (MRI) of the head region by an iterative thresholding procedure. 3-D graphic displays are shown of the segmented soft tissues. To get the optimum threshold value, a goodness measure is...

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Bibliographic Details
Published inPattern Recognition, 9th International Conference on, 1988: Proceedings pp. 1210 - 1212 vol.2
Main Authors Suzuki, H., Toriwaki, J.
Format Conference Proceeding
LanguageEnglish
Japanese
Published IEEE Comput. Soc. Press 06.01.2003
Subjects
Biomedical imaging
Brain modeling
Data mining
Displays
Image segmentation
Knowledge engineering
Magnetic field measurement
Magnetic heads
Magnetic resonance imaging
Shape
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ISBN9780818608780
0818608781
DOI10.1109/ICPR.1988.28473

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Summary:A segmentor is described which automatically extracts soft tissues from the multisliced magnetic resonance imaging (MRI) of the head region by an iterative thresholding procedure. 3-D graphic displays are shown of the segmented soft tissues. To get the optimum threshold value, a goodness measure is used based on the knowledge of the object.< >
ISBN:9780818608780
0818608781
DOI:10.1109/ICPR.1988.28473