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