Graphics enhanced version of this site

Predicting Risk of Alzheimer's Disease From Shape Features
Head: Owen Carmichael
Contact: Owen Carmichael

Mailing address:
The Robotics Institute
Carnegie Mellon University
5000 Forbes Avenue
Pittsburgh PA 15213-3890

Associated centers: VASC and MRTC
Associated lab/group: Biomedical Image Analysis

Alzheimer's Disease (AD) is not detected clinically until relatively late in its progression, and the drugs that exist to slow the disease progression might be more effective if they are administered early on. The goal of this project is to use computer vision techniques to help detect the disease earlier on by analyzing the shape and size of compartments in the brain.

In particular, our work focuses on a section of the brain called the hippocampus. It is known to shrink and change shape over the course of the disease. Together with collaborators at the Alzheimer's Disease Research Center at the University of Pittsburgh Medical Center, we are working to develop techniques for reliably isolating the hippocampus in medical images, then predicting risk of AD based on the shape and size properties of the hippocampus. In so doing, we aim to give doctors another source of information in their overall assessment of whether a patient might have contracted AD.

Name - Title <Email Address>
• Howard Aizenstein - M.D., Ph.D.
• Jim Becker - Ph.D.
• Steven DeKosky - M.D.
• [Home] Yanxi Liu - Adjunct Associate Research Professor <yanxi@cs.cmu.edu>
• Oscar Lopez - M.D.
• Carolyn Meltzer - M.D.

Note: This list may not be comprehensive. It contains only those publications in the RI publications database. Entries are listed in reverse chronological order.

• Quantified Brain Asymmetry for Age Estimation of Normal and Alzheimer's Disease/Mild Cognitive Impairment Subjects
  L. Teverovskiy, J. Becker, O. Lopez, and Y. Liu
  5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, May, 2008.

• Atlas-Based Hippocampus Segmentation In Alzheimer's Disease and Mild Cognitive Impairment
  O. Carmichael, H. Aizenstein, S.W. Davis, J. Becker, P.M. Thompson, C. Meltzer, and Y. Liu
  NeuroImage, No. 27, June, 2005, pp. 979 - 990. [Abstract]
  Download: pdf [734 KB] copyrighted

• Atlas-Based Hippocampus Segmentation In Alzheimer's Disease and Mild Cognitive Impairment
  O. Carmichael, H. Aizenstein, S.W. Davis, J. Becker, P.M. Thompson, C. Meltzer, and Y. Liu
  tech. report CMU-RI-TR-04-53, Robotics Institute, Carnegie Mellon University, December, 2004. [Abstract]
  Download: pdf [3962 KB] copyrighted

• Discriminative MR Image Feature Analysis for Automatic Schizophrenia and Alzheimer's Disease Classification
  Y. Liu, L. Teverovskiy, O. Carmichael, R. Kikinis, M. Shenton, C.S. Carter, V.A. Stenger, S. Davis, H. Aizenstein, J. Becker, O. Lopez, and C. Meltzer
  Proceedings of the 7th International Conference on MedicalImage Computing and Computer Aided Intervention (MICCAI '04), October, 2004, pp. 393 - 401. [Abstract]
  Download: pdf [993 KB] copyrighted

• Discriminative MR Image Feature Analysis for Automatic Schizophrenia and Alzheimer's Disease Classification
  Y. Liu, L. Teverovskiy, O. Carmichael, R. Kikinis, M. Shenton, C.S. Carter, V.A. Stenger, S. Davis, H. Aizenstein, J. Becker, O. Lopez, and C. Meltzer
  tech. report CMU-RI-TR-04-15, Robotics Institute, Carnegie Mellon University, March, 2004.
  Download: pdf [1214 KB] copyrighted