DocumentCode
2895790
Title
An Automatic Brain Alignment Tool
Author
Sturm, Deborah ; Koshy, Philip ; Kovalerchik, Diana ; Thakkar, Nirav
Author_Institution
Coll. of Staten Island, Comput. Sci. Dept., CUNY, Staten Island, NY, USA
fYear
2010
fDate
12-14 April 2010
Firstpage
348
Lastpage
351
Abstract
The location, size and shape of Multiple Sclerosis (MS) lesions are often used to diagnose and track disease progression. In order to effectively compare lesions in MRI stacks for the same patient imaged at intervals, these stacks must be aligned. This automatic alignment method was designed to minimize modification of segmented pixel values. The aligned lesion stacks can be browsed independently or in tandem. This should provide a valuable tool for computer-aided diagnosis and disease tracking.
Keywords
biomedical MRI; brain; diseases; image resolution; medical diagnostic computing; MRI stacks; automatic brain alignment tool; computer-aided diagnosis; disease progression diagnosis; disease progression tracking; multiple sclerosis lesions; segmented pixel values; Diseases; Image processing; Image segmentation; Interpolation; Lesions; Magnetic resonance imaging; Multiple sclerosis; Rendering (computer graphics); Shape; Visualization; Computer-aided diagnosis/tracking; Multiple Sclerosis;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology: New Generations (ITNG), 2010 Seventh International Conference on
Conference_Location
Las Vegas, NV
Print_ISBN
978-1-4244-6270-4
Type
conf
DOI
10.1109/ITNG.2010.101
Filename
5501702
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