Voxel-based discriminant map classification on brain ventricles for Alzheimer's disease.

J. Wang, G. Haan, de, D. Unay, O. Soldea, A. Ekin

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

8 Citations (Scopus)

Abstract

One major hallmark of the Alzheimer’s disease (AD) is the loss of neurons in the brain. In many cases, medical experts use magnetic resonance imaging (MRI) to qualitatively measure the neuronal loss by the shrinkage or enlargement of the structures-of-interest. Brain ventricle is one of the popular choices. It is easily detectable in clinical MR images due to the high contrast of the cerebro-spinal fluid (CSF) with the rest of the parenchyma. Moreover, atrophy in any periventricular structure will directly lead to ventricle nlargement. For quantitative analysis, volume is the common choice. However, volume is a gross measure and it cannot capture the entire complexity of the anatomical shape. Since most existing shape descriptors are complex and difficult-to-reproduce, more straightforward and robust ways to extract ventricle shape features are preferred in the diagnosis. In this paper, a novel ventricle shape based classification method for Alzheimer’s disease is proposed. Training process has to be performed to generate two probability maps for two training classes: healthy controls (HC) and AD patients. By subtracting of the HC obability map from the AD probability map, we get a 3D ventricle discriminant map. Then a atching coefficient has been calculated between each training subject and the discriminant map. An adjustable cut-off point of the matching coefficients has been drawn for the two asses. Generally, the higher the cut-off point has been drawn, the higher specificity can be achieved. However, it will result in relatively lower sensitivity and vice versa. The benchmarked results against volume based classification show that the area under the ROC curves for our proposed method is as high as 0.86 compared with only 0.71 for volume based classification method.
Original languageEnglish
Title of host publicationProgress in Biomedical Optics and Imaging, Medical Imaging : Image Processing, 8-10 February 2009, Lake Buena Vista, Florida, USA
EditorsJ.P.W. Pluim
Place of PublicationBellingham
PublisherSPIE
Pages67-69
ISBN (Print)978-0-8194-7510-7
DOIs
Publication statusPublished - 2009
Event2009 Medical Imaging : Image Processing - Disney Coronado Springs Resort, Lake Buena Vista, United States
Duration: 7 Feb 200912 Feb 2009

Publication series

NameProceedings of SPIE
Volume7259
ISSN (Print)0277-786X

Conference

Conference2009 Medical Imaging : Image Processing
CountryUnited States
CityLake Buena Vista
Period7/02/0912/02/09
Other

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