By Thomas E. Hampshire, Holger R. Roth, Darren J. Boone, Greg Slabaugh, Steve Halligan (auth.), Hiroyuki Yoshida, David Hawkes, Michael W. Vannier (eds.)

ISBN-10: 3642336116

ISBN-13: 9783642336119

ISBN-10: 3642336124

ISBN-13: 9783642336126

This e-book constitutes the refereed lawsuits of the foreign Workshop CCAAI 2012, held in great, France, in October 2012. The ebook contains 31 papers that have been rigorously reviewed and chosen from 37 submissions. the entire accredited papers have been revised via incorporating of the reviewers’ reviews and re-submitted through the authors to be incorporated during this court cases quantity. The papers are equipped into topical sections on colon and different gastrointestinal tract; and liver, kidney, and different organs.

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Extra info for Abdominal Imaging. Computational and Clinical Applications: 4th International Workshop, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012. Proceedings

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In: IMA Conference on the Mathematics of Surfaces, pp. 209–232 (2007) 12. : Algebraic Topology: An Introduction. Springer (1967) 13. : Visualization modes for ct colonography using cylindrical and planar map projections. Journal of Computer Assisted Tomography, 179–188 (2000) 14. : Computed tomographic virtual colonoscopy to screen for colorectal neoplasia in asymptomatic adults. New England Journal of Medicine 349(23), 2191–2200 (2003) 15. : A pipeline for computer aided polyp detection. IEEE Transactions on Visualization and Computer Graphics, 861–868 (2006) 16.

Series. Fig. 6 depicts the detection accuracies in terms of free-response receiver operating characteristic curves. 4 Discussion The results of this study indicate that the detection sensitivity of a CAD scheme that has been trained to detect polyps with conventional SD CTC studies can be reduced by 20% when it is used in ULD CTC. For large polyps, the detection Computer-Aided Detection for Ultra-Low-Dose CT Colonography 47 sensitivity can be improved by denoising of the image data. However, denoising by Gaussian filtering can further reduce the detection accuracy for polyps 6 – 9 mm in size.

Table 1 shows the de-noise result comparison between 26 R. Shi et al. Fig. 6. Left: a and b are 2 homotopy basis for a genus 1 surface. Middle: The surface becomes a topological disk after cut along the it’s homotopy basis. Right: Flatten the surface onto the plane. Algorithm 3. Discrete Ricci Flow Input: Surface M. Output: The metric U of M. 1. Assign a circle at vertex vi with radius ri ; For each edge [vi , v j ], two circles intersect at an angle φi j , called edge weight. 2. The edge length li j of [vi , v j ] is determined by the cosine law: li2j = ri2 + r2j − 2ri r j cosφi j jk 3.

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Abdominal Imaging. Computational and Clinical Applications: 4th International Workshop, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012. Proceedings by Thomas E. Hampshire, Holger R. Roth, Darren J. Boone, Greg Slabaugh, Steve Halligan (auth.), Hiroyuki Yoshida, David Hawkes, Michael W. Vannier (eds.)


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