Title :
An Automatic MRI Brain Volume 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
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; image segmentation; medical image processing; patient diagnosis; MRI brain volume; alignment tool; computer-aided diagnosis; disease progression diagnosis; disease tracking; magnetic resonance imaging; multiple sclerosis; pixel value segmentation; Diseases; Image processing; Image segmentation; Information technology; Lesions; Magnetic resonance imaging; Multiple sclerosis; Rendering (computer graphics); Shape; Visualization; Brain MRI alignment; Computer-aided diagnosis/tracking; Multiple Sclerosis;
Conference_Titel :
Information Technology: New Generations (ITNG), 2010 Seventh International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-6270-4
DOI :
10.1109/ITNG.2010.211