Titlebook: Virtual Colonoscopy and Abdominal Imaging: Computational Challenges and Clinical Opportunities; Second International Hiroyuki Yoshida,Wenli

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Synchronized Display of Virtual Colonoscopic Views in Supine and Prone CT Images views defined based on body orientations of a patient. We generated synchronized VC views of the two positions using the proposed method. Positional difference of the viewpoints between the two positions was 5.03 [mm]. The method can synchronize viewpoints of the supine and prone positions without significant error.

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0302-9743 dings of the International Workshop on Computational Challenges and Clinical Opportunities in Virtual Colonoscopy and Abdominal Imaging, held in conjunction with MICCAI 2010, in Beijing, China, on September 20, 2010. .The 19 revised full papers presented were carefully reviewed and selected from 26

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Electronic Cleansing in CT Colonography: Past, Present, and Futureum or iodine) in CT Colonography (CTC). Electronic cleansing (EC) is an emerging technique for removal of tagged fecal materials in fecal tagging CTC images after the image acquisition, and thus to avoid the physical bowel cleansing prior to CT scanning. In this syllabus, we present a brief overview

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Improved Curvature Estimation for Shape Analysis in Computer-Aided Detection of Colonic Polypsatio, Gaussian curvature, mean curvature, etc., are widely used to analyze the local shapes in the colon wall. Therefore, the curvature estimation is an essential step, which is often conducted through kernel methods. However, spurious calculations indicating high curvature are frequently observed w

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Characterizing Colonic Detections in CT Colonography Using Curvature-Based Feature Descriptor and Bad tomographic colonography (CTC). The method explores curvature-based feature descriptors in conjunction with bag-of-words (BoW) models to characterize colonic detections. The diffusion distance is adopted to improve feature matching and clustering. Word selection is also applied to remove non-infor

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Haustral Fold Segmentation of CT Colonography Using Ridge Line Detection navigation, tenia coli extraction, prone/supine registration, and polyp matching. In this paper, we present an automatic fold segmentation method based on the negative ridge line detection method. Because haustral folds meet the normal colon wall at negative ridge lines, automatic fold segmentation

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A Bayesian Approach for False Positive Reduction in CTC CADoblem of polyp detection as a probability calculation through a unified Bayesian statistical model. The polyp likelihood is modeled with a combination of shape and intensity features. A second principal curvature PDE provides a shape model; and the partial volume effect is considered in modeling of