DocumentCode :
2739792
Title :
Hippocampus Volume and Texture Analysis for Temporal Lobe Epilepsy
Author :
Jafari-Khouzani, Kourosh ; Soltanian-Zadeh, Hamid ; Elisevich, Kost
Author_Institution :
Dept. of Comput. Sci., Wayne State Univ., Detroit, MI
fYear :
2006
fDate :
7-10 May 2006
Firstpage :
394
Lastpage :
397
Abstract :
It has been previously shown that intensity and volume features of the hippocampus from MR images of the brain are useful in detecting the abnormality and consequently candidacy of the hippocampus for temporal lobe epilepsy (TLE) surgery. In this paper, we have studied and compared volume and texture features of hippocampus for TLE lateralization. Volume and some features describing the intensity non-uniformities are used. We use manual segmentation of the hippocampi from T1 weighted images and map them to the FLAIR images. Wavelet features as well as mean and variance of the hippocampus intensities of the FLAIR slices are used as texture features. A dataset of 55 patients with 28 right and 27 left abnormal sides was used in the experiments. Experimental results show that the volume and intensity features are useful in determining the abnormal side
Keywords :
biomedical MRI; brain; diseases; image texture; medical image processing; surgery; wavelet transforms; FLAIR images; FLAIR slices; T1 weighted images; brain MR images; hippocampus texture analysis; hippocampus volume analysis; temporal lobe epilepsy surgery; texture features; wavelet features; Epilepsy; Hippocampus; Image analysis; Image segmentation; Image texture analysis; Radiology; Shape; Surgery; Temporal lobe; Wavelet packets;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electro/information Technology, 2006 IEEE International Conference on
Conference_Location :
East Lansing, MI
Print_ISBN :
0-7803-9592-1
Electronic_ISBN :
0-7803-9593-X
Type :
conf
DOI :
10.1109/EIT.2006.252120
Filename :
4017732
Link To Document :
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