DocumentCode :
2804088
Title :
Automatic contrast enhancement of white matter lesions in FLAIR MRI
Author :
Khademi, April ; Venetsanopoulos, Anastasios ; Moody, Alan
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
fYear :
2009
fDate :
June 28 2009-July 1 2009
Firstpage :
322
Lastpage :
325
Abstract :
This work concerns the development of a novel contrast enhancement algorithm for FLAIR-weighted cerebral MRI with white matter lesions (WML). The proposed method utilizes both a robust estimate of edge magnitude and intensity values to discriminate between pathological and non-pathological information. These two features are combined through several transformations, such that WML are highlighted, and normal appearing white/gray matter are suppressed. The technique utilizes information solely computed from each image and thus adapts to the input image´s characteristics. The results show a significant improvement of the contrast between white matter lesions and other brain tissue (average contrast improvement of 41.1%). To demonstrate the robustness of such an enhancement scheme for WML analysis, a threshold-based segmenter is applied, which extracts the WML with good results.
Keywords :
biomedical MRI; brain; edge detection; feature extraction; image enhancement; image segmentation; medical image processing; wounds; FLAIR-weighted cerebral MRI; automatic contrast enhancement; brain tissue; feature extraction; fluid attenuation inversion recovery images; gray matter; nonpathological information; pathological information; robust estimation; threshold-based segmenter; white matter lesions; Biological tissues; Biomedical imaging; Diseases; Head; Image segmentation; Lesions; Magnetic resonance imaging; Multiple sclerosis; Pathology; Robustness; Image enhancement; biomedical image processing; image segmentation; medical diagnosis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
Conference_Location :
Boston, MA
ISSN :
1945-7928
Print_ISBN :
978-1-4244-3931-7
Electronic_ISBN :
1945-7928
Type :
conf
DOI :
10.1109/ISBI.2009.5193049
Filename :
5193049
Link To Document :
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