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

fYear

2010

fDate

12-14 April 2010

Firstpage

438

Lastpage

441

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;

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.2010.211

Filename

5501736