Title :
Automated detection and evaluation of lumbar discs in MR images
Author :
Chwialkowski, Michael P. ; Shile, Peter E. ; Peshock, Ronald M. ; Pfeifer, Dennis ; Parkey, Robert W.
Author_Institution :
Dept. of Electr. Eng., Texas Univ., Arlington, TX, USA
Abstract :
A method for computerized detection of disk pathologies is described. It is based on: (1) automated localization of individual disks in a magnetic resonance (MR) image, (2) analysis of the pattern of changes in grey intensities along the disk, and (3) verification of findings based on the analysis of trends recorded for subsequent images in the study. In preliminary studies there was good correlation between abnormal intensity distribution and clinical evidence of disk abnormalities, suggesting that the method will be useful in automated, unconstrained analysis of MR images of the spine
Keywords :
biomedical NMR; computerised picture processing; medical diagnostic computing; patient diagnosis; NMR images; abnormal intensity distribution; computerised detection method; grey intensities; lumbar discs; medical diagnostic imaging; spine; Anatomy; Biomedical imaging; Image analysis; Image segmentation; Irrigation; Magnetic resonance; Pathology; Pattern analysis; Radiology; Spine;
Conference_Titel :
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location :
Seattle, WA
DOI :
10.1109/IEMBS.1989.95878
