DocumentCode
1811384
Title
Knowledge-guided automatic thresholding for 3-dimensional display of head MRI images
Author
Suzuki, Hidetomo ; Toriwaki, Jun-ichiro
Author_Institution
Dept. of Inf. Eng., Nagoya Univ., Japan
fYear
1988
fDate
14-17 Nov 1988
Firstpage
1210
Abstract
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
Keywords
biomedical NMR; computerised picture processing; iterative methods; knowledge based systems; medical computing; 3D graphic displays; MRI images; goodness measure; head region; iterative thresholding; knowledge based systems; medical computing; multisliced magnetic resonance imaging; segmentation; soft tissues; Biomedical imaging; Brain modeling; Data mining; Displays; Image segmentation; Knowledge engineering; Magnetic field measurement; Magnetic heads; Magnetic resonance imaging; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1988., 9th International Conference on
Conference_Location
Rome
Print_ISBN
0-8186-0878-1
Type
conf
DOI
10.1109/ICPR.1988.28473
Filename
28473
Link To Document