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Distance deviation measure of contouring variability.

Peter Rogelj¹, Robert Hudej, Primoz Petric

¹Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, Koper, Slovenia.

Radiology and Oncology

|March 2, 2013

Summary

This study introduces a novel distance deviation measure for contouring analysis, offering reliable and interpretable results for complex shapes. The method enhances topographic analysis and assesses contour disagreement effectively.

Keywords:

contour comparison contouring distance transform

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Area of Science:

Medical imaging
Image analysis
Computational geometry

Background:

Current contouring analysis methods lack reliability and meaningfulness.
Existing techniques struggle with complex contour shapes and variations.
A novel measure is proposed to address these limitations in contouring studies.

Purpose of the Study:

To introduce a novel distance deviation measure for contouring analysis.
To provide a reliable and interpretable solution for contouring studies.
To enable detailed topographic and contour disagreement analysis.

Main Methods:

Developed a distance deviation measure extending closest point analysis.
Analyzed deviation of distances from image points/voxels to contours.
Generated image, angular, and scalar representations of contour deviation.

Main Results:

Demonstrated the distance deviation method on multi-observer contouring with complex shapes.
Presented results using image, angular, and scalar representations.
The method effectively handles pronounced extremes and void interiors in contours.

Conclusions:

The proposed method reliably detects and measures contour variation regardless of complexity.
Results are easy to interpret and applicable with or without reference contours.
The technique is versatile for various contouring analysis scenarios.