slide1 n.
Download
Skip this Video
Loading SlideShow in 5 Seconds..
rad.upenn/sbia PowerPoint Presentation
Download Presentation
rad.upenn/sbia

Loading in 2 Seconds...

play fullscreen
1 / 14

rad.upenn/sbia - PowerPoint PPT Presentation


  • 151 Views
  • Uploaded on

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

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'rad.upenn/sbia' - theo


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
slide1

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

slide3

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
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

spatial normalization and registration

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.
slide6

HAMMER

HAMMER

Measuring volumes of anatomical structures :

An atlas with anatomical definitions is registered to the patient’s images

Model

Subject

slide8

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

slide9

Multi-parametric Pattern Classification

Pattern

Classification

Abnormality

score

slide10

AD vs CN classifier applied to MCI: most MCI’s have AD-like MRI profiles

Subsequent cognitive decline

Data from ADNI

slide11

Manual definition

Segmentation of Brain Lesions

FLAIR

threshold = -1

threshold = 0

threshold = 2

slide13

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