MEDICAL IMAGE ANALYSIS

Outline

Medical Image Data

Image Processing in Medical Settings

Data Processing

Examples: Preprocessing
Filtering/image enhancement

Examples: Preprocessing
Registration

Detection

Segmentation

Segmentation

Segmentation

Analyses

Classification/Diagnoses

Data Processing – Example
Lung screening

Model-based detection and segmentation

Image Segmentation

Advanced Image Segmentation

Goals

Model-Based Segmentation

Training Set Design

Training

Shape Model

Shape Model

Model Size Reduction

Border Appearance Model

BAM – Basic Idea

BAM – Basic Idea

BAM - Clustering

fit Value Computation

Border Appearance Model

BAM – Spatial Information

Border Appearance Vector

Training - Summary

Approximate Object Location

Generalized Hough Transform
(Ballard, 1981)

R-Table

Problems of Generalized HT

Shape-variant Hough Transform

SVHT – Shape Variance

SVHT – R-Table Construction

SVHT – Object Reconstruction

Shape Variance - Comparisons

Shape-Variant Hough Transform
Summary

Accurate Boundary Detection

Segmentation - Summary

Experimental Methods

Results

Results

Results

Results

Results

Results

Detection Accuracy

Comparison of Approximate and Accurate Detection

Study 1: Dependency on Number of Training Data

Study 1: Statistical Significance

Study 2: Dependency on Training Data Selection

Study 2: Statistical Significance

Discussion - Conclusion

Discussion - Conclusion