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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. http://www.rad.upenn.edu/sbia. Human brain imaging: AD/aging, Schizophrenia
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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
Human brain imaging: • AD/aging, • Schizophrenia • Treatment of Diabetes • Effects of hormonal and environmental exposures to the brain • Effects of alcohol Clinical studies Techniques • Animal imaging: • DTI of the developing mouse brain • Hormonal effects on Monkey brain development Facial expression analysis for affective disorders Cardiac image analysis, FMRI post-processing • Treatment planning: • Brain tumors • Optimized prostate biopsy Breast MRI Segmentation and labeling Spatial normalization/ registration Morphological analysis Hi-D Pattern classification as diagnostic tool Image statistics and data-mining Biomechanical Biophysical modeling
Segmentation and Labeling • 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 Hippocampal segmentation Prostate segmentation Spine segmentation
Warping of subject to model Spatial normalization and registration • 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.
HAMMER HAMMER Measuring volumes of anatomical structures : An atlas with anatomical definitions is registered to the patient’s images Model Subject
4-Dimensional Image Analysis for Measurement of Temporal Changes Original Images 3-D Seg- mentation CLASSIC 4-D Segm- entation Year 1 Year 2 Year 3 Year 4
Multi-parametric Pattern Classification Pattern Classification Abnormality score
AD vs CN classifier applied to MCI: most MCI’s have AD-like MRI profiles Subsequent cognitive decline Data from ADNI
Manual definition Segmentation of Brain Lesions FLAIR threshold = -1 threshold = 0 threshold = 2
B0 image and at least 6 gradient directions/slice Diffusion Tensor Imaging: Manifold-based Statistical Analysis Reconstructed DTI Geodesic-based and Kernel-based Statistics Developing mouse brain : old Vs young Multi-parametric Information Schizophrenia patients Vs Controls