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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

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Project Description

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.

Personnel [Past Members]

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

Publications

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