DocumentCode :
544584
Title :
4D Connected component labelling applied to quantitative analysis of MS lesion temporal development
Author :
Metcalf, David ; Kikinis, Ron ; Guttmann, Charles ; Vaina, Lucia ; Jolesz, Ferenc
Author_Institution :
Dept. of Biomed. Eng., Boston Univ., Boston, MA, USA
Volume :
3
fYear :
1992
fDate :
Oct. 29 1992-Nov. 1 1992
Firstpage :
945
Lastpage :
946
Abstract :
We have developed a 4D connected component labeling algorithm to identify automatically individual lesions on MRI brain images of multiple sclerosis patients, and to follow the changes in each lesion over time. We were also able to use this algorithm as a noise reduction filter to remove misclassified components from the binarized segmentations of the images.
Keywords :
biomedical MRI; image classification; image denoising; image segmentation; medical image processing; tumours; 4D connected component labelling; MRI brain images; MS lesion temporal development; image classification; image segmentation; noise reduction filter; sclerosis; Biomedical imaging; Magnetic resonance imaging; Nuclear magnetic resonance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1992 14th Annual International Conference of the IEEE
Conference_Location :
Paris
Print_ISBN :
0-7803-0785-2
Electronic_ISBN :
0-7803-0816-6
Type :
conf
DOI :
10.1109/IEMBS.1992.5761319
Filename :
5761319
Link To Document :
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