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Adaptive correction of the pseudo-enhancement of CT attenuation for fecal-tagging CT colonography
- Source :
- Medical Image Analysis. 12:413-426
- Publication Year :
- 2008
- Publisher :
- Elsevier BV, 2008.
-
Abstract
- In fecal-tagging CT colonography ( ft CTC), positive-contrast tagging agents are used for opacifying residual bowel materials to facilitate reliable detection of colorectal lesions. However, tagging agents that have high radiodensity tend to artificially elevate the observed CT attenuation of nearby materials toward that of tagged materials on Hounsfield unit (HU) scale. We developed an image-based adaptive density-correction (ADC) method for minimizing such pseudo-enhancement effect in ft CTC data. After the correction, we can confidently assume that soft-tissue materials and air are represented by their standard CT attenuations, whereas higher CT attenuations indicate tagged materials. The ADC method was optimized by use of an anthropomorphic phantom filled partially with three concentrations of a tagging agent. The effect of ADC on ft CTC was assessed visually and quantitatively by comparison of the accuracy of computer-aided detection (CAD) without and with the use of the ADC method in two different types of clinical ft CTC databases: 20 laxative ft CTC cases with 24 polyps, and 23 reduced-preparation ft CTC cases with 28 polyps. Visual evaluation indicated that ADC minimizes the observed pseudo-enhancement effect. With ADC, the free-response receiver operating characteristic curves indicating CAD performance in polyp detection yielded normalized partial area-under-curve values of 0.91 and 0.80 for the two databases, respectively, with statistically significant improvement over conventional thresholding-based approaches ( p
- Subjects :
- Materials science
Radiological and Ultrasound Technology
Virtual colonoscopy
medicine.diagnostic_test
Receiver operating characteristic
business.industry
Radiodensity
Health Informatics
Image processing
Ct attenuation
Computer Graphics and Computer-Aided Design
Thresholding
Fecal tagging
Hounsfield scale
medicine
Radiology, Nuclear Medicine and imaging
Computer Vision and Pattern Recognition
Nuclear medicine
business
Subjects
Details
- ISSN :
- 13618415
- Volume :
- 12
- Database :
- OpenAIRE
- Journal :
- Medical Image Analysis
- Accession number :
- edsair.doi...........9cfdc2c2354ddd208e6e2835e5a1c88c
- Full Text :
- https://doi.org/10.1016/j.media.2008.01.001