By Holger R. Roth, Thomas E. Hampshire, Jamie R. McClelland, Mingxing Hu, Darren J. Boone (auth.), Hiroyuki Yoshida, Georgios Sakas, Marius George Linguraru (eds.)

This ebook constitutes the completely refereed post-conference complaints of the 3rd foreign Workshop on Computational and medical functions in stomach Imaging, held together with MICCAI 2011, in Toronto, Canada, on September 18, 2011. The 33 revised complete papers awarded have been conscientiously reviewed and chosen from forty submissions. The papers are prepared in topical sections on digital colonoscopy and CAD, belly intervention, and computational belly anatomy.

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Extra info for Abdominal Imaging. Computational and Clinical Applications: Third International Workshop, Held in Conjunction with MICCAI 2011, Toronto, ON, Canada, September 18, 2011, Revised Selected Papers

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The adaptive intensity threshold (Io) in Table 1 is computed by applying Otsu's method [10] to the histograms of each local stool region. Regions are selected by locating each set of connected voxels with intensity higher than 200 HU, performing a morphological opening to remove weak, thin connections, and including the rectangular bounding box of each set, with a padding of 5 voxels. These regions allow a unique Io for each large, distinct stool region while providing significant information to the adaptive histogram computation.

This 46 Z. Li et al. is because susceptibility efffects influence the MRI signal values. These susceptibiility effects make that the image intensity varies as a function of position in the scannner. What is more, the respiraation imposes a discontinuous deformation to the boowel structures which is usually not n incorporated in a non-rigid deformation models. We hypothesize that retrrospective gating to one phase of the respiratory cycle reduces the abovementioned d effects to a large extent. e.

Lancet 365, 305–311 (2005) 12. : Diagnostic Accuracy of Computed Tomographic Colonography for the Detection of Advanced Neoplasia in Individuals at Increased Risk of Colorectal Cancer. JAMA 301, 2458–2461 (2009) 13. : Selection Bias in Gene Extraction on the Basis of Microarray Gene-Expression Data. PNAS 99, 6562–6566 (2002) 14. : Validation and Statistical Power Comparison of Methods for Analyzing Free-Response Observer Performance Studies. Acad. Radiol. 15, 1554–1566 (2008) 15. : Computer-Intensive Methods for Testing Hypotheses: an Introduction.

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