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Download Abdominal Imaging. Computational and Clinical Applications: by Thomas E. Hampshire, Holger R. Roth, Darren J. Boone, Greg PDF

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

This ebook constitutes the refereed court cases of the overseas Workshop CCAAI 2012, held in great, France, in October 2012. The publication comprises 31 papers that have been rigorously reviewed and chosen from 37 submissions. the entire permitted papers have been revised through 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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Read Online or Download Abdominal Imaging. Computational and Clinical Applications: 4th International Workshop, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012. Proceedings PDF

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Additional resources 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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6891, pp. 508–515. Springer, Heidelberg (2011) 5. : National CT colonography trial (ACRIN 6664): comparison of three full-laxative bowel preparations in more than 2500 average-risk patients. Am. J. Roentgenol. 196, 1076–1082 (2011) 6. : Teniae coli–based circumferential localization system for CT colonography: Feasibility study. Radiology 243, 551–560 (2007) 7. : Discrete surface ricci flow. IEEE Trans. Vis. Comput. Graphics 14, 1030–1043 (2008) 8. : Accuracy of CT colonography for detection of large adenomas and cancers.

In addition to the reduction of tube current, novel CT reconstruction algorithms could be able to reduce the effective dose by >50% without significant effect on perceived image quality [7]. The radiation dose could also be reduced by careful monitoring of necessary CT examinations. A combination of these approaches is likely to provide the most optimal outcome for minimizing the radiation burden on patients. Acknowledgements. This work was supported by grants from Prevent Cancer Foundation and NIH/NCI CA140934, CA095279, CA166816, and CA131718.

The results indicate that the optimal choice of thickness depends on the size and morphology of the target lesion. At optimal thickness, the per-patient sensitivity was 100% at 5 FP detections per patient on average, where the per-lesion sensitivity was 100% (94%) for lesions ≥10 mm (6 – 9 mm) in size. The results compare favorably with those of our previous approach. Keywords: Computer-aided detection, dual energy, polyp detection, laxative-free, non-cathartic, virtual colonoscopy, computed tomographic colonography.

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