alexa
Reach Us +1-218-451-2974
Differentiating between Normal Aging, Mild Cognitive Impairment, and Alzheimer and#195;and#162;and#194;and#8364;and#194;and#8482; s disease with FDG-PET: Effects of Normalization Region and Partial Volume Correction Method | Abstract
ISSN: 2161-0460

Journal of Alzheimers Disease & Parkinsonism
Open Access

Like us on:

Our Group organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article

Differentiating between Normal Aging, Mild Cognitive Impairment, and Alzheimer ’ s disease with FDG-PET: Effects of Normalization Region and Partial Volume Correction Method

Corinna M Bauer1, Howard J Cabral2, Douglas N Greve3, Ronald J. Killiany4,5,6

 

1Boston University School of Medicine, Department of Anatomy and Neurobiology, Boston, MA, USA

2Boston University School of Public Health, Department of Biostatistics, Massachusetts Avenue, Boston, MA, USA

3Martinos Center for Biomedical Imaging, 143 13th Street, Charlestown, MA, USA

4Director, Center for Biomedical Imaging, Boston University School of Medicine, Boston, Massachusetts, USA

5Associate Professor, Department of Anatomy and Neurobiology, Boston University, School of Medicine, Boston, Massachusetts, USA

6Associate Professor, Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts, USA

Corresponding Author:
Ronald J. Killiany
Director, Center for Biomedical Imaging
Boston University, 700 Albany Street W701
Boston, MA 02118, USA
Tel: 617-638-8082
Fax: 617-638-4922
E-mail: ki[email protected]

Received date: March 28, 2013; Accepted date: May 04, 2013; Published date: May 10, 2013

Citation: Bauer CM, Cabral HJ, Greve DN, Killiany RJ (2013) Differentiating between Normal Aging, Mild Cognitive Impairment, and Alzheimer’s disease with FDG-PET: Effects of Normalization Region and Partial Volume Correction Method. J Alzheimers Dis Parkinsonism 3:113. doi: 10.4172/2161-0460.1000113

Copyright: © 2013 Bauer CM, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Objective: In Alzheimer’s FDG PET research, the choice of reference region for normalization and use of partial volume correction are inconsistent and have not been studied in a large multi-center study. Herein, we identified which normalization region provided the highest degree of discrimination between subjects who were classified as normal aging, mild cognitive impairment, or Alzheimer’s disease. The effects of partial volume correction using either a gray matter mask or cortical thickness and subcortical volume residuals were also examined. Methods: Stepwise logistic regression models were used to identify the optimal normalization region and partial volume correction method to discriminate between disease stages in over 400 subjects from research sites across North America. Normalization region candidates were the brainstem, precentral gyrus, postcentral gyrus, cerebellum, and thalamus. Partial volume correction methods tested were anatomically or statistically based. Results: Pre- and post- central gyri, and the thalamus showed AD-related changes in FDG PET and did not qualify for further testing. Normalizing to the cerebellum while using the gray matter mask for partial volume correction provided the highest indicator of discrimination.   Conclusions: Normalization region and partial volume correction are critical to FDG PET analysis and candidate normalization regions should be tested for disease effects in the study sample prior to use. Cerebellar normalization and gray matter mask partial volume correction are recommended for use with the ADNI dataset.

Keywords

Recommended Conferences

14th International Conference on Alzheimer s Disease & Dementia

Zurich, Switzerland

12th World Congress on Alzheimers Disease & Dementia

Budapest, Hungary
Share This Page
Top