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Transcript of Http:// Medical Image Analysis @ SBIA.UPenn Christos Davatzikos Director, Section of Biomedical...
http://www.rad.upenn.edu/sbia
Medical Image Analysis @ SBIA.UPenn
Christos Davatzikos
Director, Section of Biomedical Image Analysis
Professor, Radiology, ESE, BE
University of Pennsylvania
http://www.rad.upenn.edu/sbia
Clinical studies
Techniques
Human brain imaging: •AD/aging,•Schizophrenia•Treatment of Diabetes •Effects of hormonal and environmental exposures to the brain• Effects of alcohol
Treatment planning:
•Brain tumors
•Optimized prostate biopsy
Animal imaging:
•DTI of the developing mouse brain
•Hormonal effects on Monkey brain development
Breast MRI
Cardiac image analysis,FMRI post-processing
Hi-D Pattern classification as diagnostic tool
Facial expression analysis for affective disorders
Segmentation and labeling
Spatial normalization/registration
Morphological analysis
Image statistics and data-mining
Biomechanical Biophysical modeling
Segmentation and LabelingSegmentation and Labeling
Prostate segmentationSpine segmentation
Hippocampal segmentation
Problem definition
Automated segmentation of anatomical structures from the images of different modalities, for quantitative comparison and shape analysis.
Motivation
• Volumetric measurement of anatomical structures.
• Longitudinal comparison, revealing disease-related changes.• Group comparison of healthy controls and patients.
Examples
Sulcal labeling
Problem definition
Image data co-registration and integration, from different individuals, modalities, times, and conditions, for comparative image analysis such as characterization of structural, functional variability and abnormality.
Motivation
• Group comparison, by computing inter-individual variability.
• Longitudinal comparison, for measuring diseases, i.e. AD.• Longitudinal follow-up, with/without treatment.• Different modalities integration, for conveying
complementary information.
Spatial normalization and registrationSpatial normalization and registration
Warping of subject to model
Model
Measuring volumes of anatomical structures :An atlas with anatomical definitions is registered to the patient’s images
Subject
HAMMER HAMMER
Distribution of HAMMER (6/21/2008)
Year 1 Year 2 Year 3 Year 4
OriginalImages
3-D Seg-mentation
CLASSIC4-D Segm-entation
4-Dimensional Image Analysis for Measurement of Temporal Changes
Pattern
Classification
Abnormality
score
Multi-parametric Pattern Classification
Data from ADNI
AD vs CN classifier applied to MCI: most MCI’s have AD-like MRI profiles
Subsequent cognitive decline
Segmentation of Brain LesionsSegmentation of Brain Lesions
threshold = -1
Manual definition
threshold = 0 threshold = 2
FLAIR
Diffusion Tensor Imaging: Manifold-based Statistical Analysis
B0 image and at least 6 gradient directions/slice
Reconstructed DTI
Multi-parametric Information
Geodesic-based and Kernel-based Statistics
Schizophrenia patients Vs Controls
Developing mouse brain : old Vs young
Thank you