Title :
Novel Surface-Smoothing Based Local Gyrification Index
Author :
Lebed, Evgeniy ; Jacova, C. ; Lei Wang ; Beg, Mirza Faisal
Author_Institution :
Sch. of Eng. Sci., Simon Fraser Univ., Burnaby, BC, Canada
Abstract :
The quantication of cortical surface folding is important in identifying and classifying many neurodegenerative diseases. Much work has been done to identify regional and global brain folding, and in this paper we review some of these methods, as well as propose a new method that has advantages over the existing state of art. Using our novel proposed method, we mapped the local gyrification index on the cortical surface for subjects with mild Alzheimer´s dementia (n=20) , very mild dementia (n=23) and age-matched healthy subjects (n=52). In our experiments we find a consistent pattern of gyrification changes in the dementia subjects, with regions generally affected early on in the progression of Alzheimer pathology, including medial temporal lobe, and cingulate gyrus, having decreased gyrification. At the same time we observe increased gyrification in dementia subjects, in frontal, anterior temporal and posteriorly located regions. We speculate that in neurodegenerative diseases including Alzheimer Disease, the folding of the entire cortical mantle undergoes dynamic changes as regional atrophy begins and expands, with both decreases and increases in gyrification.
Keywords :
brain; diseases; medical image processing; neurophysiology; smoothing methods; Alzheimer pathology; age-matched healthy subjects; anterior temporal regions; cingulate gyrus; cortical mantle; cortical surface folding; frontal regions; global brain folding; local gyrification index mapping; medial temporal lobe; mild Alzheimer´s dementia; neurodegenerative diseases; posterior regions; regional atrophy; regional brain folding; surface-smoothing; very mild dementia; Complexity theory; Dementia; Equations; Measurement; Smoothing methods; Surface morphology; Surface treatment; Biomedical image processing; image reconstruction; image sampling; Adolescent; Adult; Aged; Aged, 80 and over; Algorithms; Alzheimer Disease; Analysis of Variance; Brain; Case-Control Studies; Computer Simulation; Databases, Factual; Female; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Male; Middle Aged; Reproducibility of Results;
Journal_Title :
Medical Imaging, IEEE Transactions on
DOI :
10.1109/TMI.2012.2230640