ALZHEIMER´S DISEASE AND FRONTOTEMPORAL DEMENTIA DIFFERENTIAL AUTOMATIC DIAGNOSIS BASED ON SPECT IMAGES

Author

Horn, Jean-François ; Habert, Marie-Odile ; Giron, Alain ; Fertil, Bernard

Author_Institution

INSERM, CHU Pitie-Salpetriere, Paris

fYear

2007

fDate

12-15 April 2007

Firstpage

1336

Lastpage

1339

Abstract

Alzheimer´s disease (AD) and frontotemporal dementia (FTD) are the most frequent neurodegenerative cognitive disorders, but their differential diagnosis is difficult. The aim of this study is to evaluate an automatic method that returns the probability that a patient suffers from AD or FTD from the analysis of brain SPECT (single photon emission computed tomography) images. A set of 116 descriptors was calculated from the images of 173 patients. Its size was reduced to 8 (using PLS). A model based on LDA (linear discriminant analysis) was subsequently built. Validation was carried out by means of the leave-one-out protocol. 83% of patients was properly diagnosed. Performances favorably compared to those of experts (range is 65-73%). Since images were acquired in different hospitals, the impact of the medical center on the diagnosis of both the classifier and the physicians was investigated

Keywords

biomedical imaging; cognition; diseases; neurophysiology; single photon emission computed tomography; Alzheimer disease; brain SPECT; differential automatic diagnosis; frontotemporal dementia; linear discriminant analysis; neurodegenerative cognitive disorders; single photon emission computed tomography; Alzheimer´s disease; Biomedical imaging; Cerebral cortex; Dementia; Hospitals; Image databases; Linear discriminant analysis; Medical diagnostic imaging; Principal component analysis; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on

Conference_Location

Arlington, VA

Print_ISBN

1-4244-0672-2

Electronic_ISBN

1-4244-0672-2

Type

conf

DOI

10.1109/ISBI.2007.357107

Filename

4193541