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Automatic Electronic Cleansing in Computed Tomography Colonography Images using Domain Knowledge.

Kn Manjunath¹, Pc Siddalingaswamy, Gk Prabhu

¹Biomedical Engineering, Manipal Institute of Technology, Manipal University, Manipal, India

Asian Pacific Journal of Cancer Prevention : APJCP

|January 9, 2016

Summary

This study introduces an adaptive method for electronic cleansing in CT colonography, preserving soft tissue structures and correcting artifacts. The novel technique successfully removes tagged content without compromising image quality or causing pseudo-enhancements.

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Area of Science:

Medical Imaging
Image Processing
Radiology

Background:

Electronic cleansing in CT colonography aims to remove tagged fecal matter.
Common artifacts include soft tissue degradation, incomplete cleansing, and polyp misclassification.
Existing methods struggle to preserve soft tissue structures during cleansing.

Purpose of the Study:

To develop a novel adaptive method for electronic cleansing.
To address soft tissue degradation, incomplete cleansing, and polyp misclassification artifacts.
To preserve colonic soft tissue structures during tagged content subtraction.

Main Methods:

A multi-step, edge model-based algorithm was developed.
Techniques include colon segmentation, Hounsfield unit (HU) analysis, and selective soft tissue restoration.
A filtering step removes noise from residual tagged fluids.

Main Results:

The adaptive method successfully preserved submerged soft tissue structures.
Pseudo-enhanced intensities were corrected without introducing new artifacts.
The technique was validated on a fecal tagged dataset (30 patients) by radiologists.

Conclusions:

The proposed adaptive electronic cleansing method effectively overcomes key post-processing artifacts.
It ensures the preservation of critical soft tissue information in CT colonography.
This technique enhances the reliability of polyp detection in virtual colonoscopy.