Poster Sessions

TECH -2

Jiamin Liu

J. Liu, J. Yao, R. Summers

Scale-based scatter correction for computer-aided polyp detection in CT colonography

CT colonography (CTC) is a feasible and minimally invasive method for the detection of colorectal polyps and cancer screening. Computer-aided detection (CAD) of polyps can improve consistency and sensitivity of virtual colonoscopy interpretation and reduce interpretation burden. However, high-density orally administered contrast agents have scatter effects on neighboring tissues. The scattering manifests itself as an artificial elevation in the observed CT attenuation values of the neighboring tissues. This pseudo-enhancement phenomenon presents a problem for the application of computer-aided polyp detection, especially when polyps are submerged in the contrast agents. We developed a scale-based correction method that minimizes scatter effects in CTC data by subtraction of the estimated scatter components from observed CT attenuations. By bringing a locally adaptive structure, object scale, into the correction framework, the region of neighboring tissues affected by contrast agents is automatically specified and adaptively changed in different parts of the image. The method was developed as one preprocessing step in our CAD system and was tested by using leave-one-patient-out evaluation on 32 clinical CTC cases. There were 46 colonoscopy-confirmed polyps within 6-9 mm. Visual evaluation indicated that the method reduced CT attenuation of pseudo-enhanced polyps to the usual polyp Hounsfield unit (HU) range without affecting luminal air regions. For polyps submerged in contrast agents, the sensitivity of CAD with correction is increased 30% at a rate of 10 false-positive detections per case. For all polyps within 6-9 mm, the sensitivity of our CAD with scatter correction is increased 18% at a rate of 10 false-positive detections per case. Our results indicated that CAD with this correction method as a preprocessing step can yield a high sensitivity and a relatively low FP rate in CTC.