Download PDF by Peter J. Schüffler, Dwarikanath Mahapatra, Jeroen A. W.: Abdominal Imaging. Computation and Clinical Applications:

By Peter J. Schüffler, Dwarikanath Mahapatra, Jeroen A. W. Tielbeek, Franciscus M. Vos (auth.), Hiroyuki Yoshida, Simon Warfield, Michael W. Vannier (eds.)

ISBN-10: 3642410820

ISBN-13: 9783642410826

ISBN-10: 3642410839

ISBN-13: 9783642410833

This ebook constitutes the refereed court cases of the fifth overseas Workshop CCAA 2013, held at the side of MICCAI 2013, in Nagoya, Japan, in September 2013. The booklet comprises 32 papers that have been rigorously reviewed and chosen from 38 submissions. the subjects lined are stomach atlases, form research and morphology in stomach constructions and organs, detection of anatomical and useful landmarks, dynamic, practical, physiologic, and anatomical stomach imaging, registration equipment for stomach intra- and inter-patient variability, augmented fact recommendations for intervention, scientific purposes in radio-frequency ablation, open surgical procedure, and minimally invasive surgery.

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Extra resources for Abdominal Imaging. Computation and Clinical Applications: 5th International Workshop, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013. Proceedings

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Comparisons between the individual reader labelling and the final reference standard are displayed in Table 3. Table 2. 7% Table 3. Comparison of individual reader labelling against final reference standard Reader 1 Reader 2 Reader3 Total labels per reader Total labels agreeing with final RS Total labels disagreeing with final RS Total labels in reader RS but not final RS Total labels in final RS but not reader RS Total labels in neither reader RS nor final RS 4 1666 1491 3 172 249 1054 1671 1360 56 255 327 971 1449 1296 34 119 413 1107 Conclusion We present a novel method for achieving spatial correspondence between prone and supine CTC acquisitions by allowing a set of interpreting readers to create an accurate reference standard in consensus.

Fig. 2. 2 Finding Well-corresponding Surface Areas At each iteration step, areas of good local correspondence are determined based on the current registration result. The quality of local correspondence is measured using a local similarity measure S computed with a certain window-sized area of the endoluminal surface (as illustrated in Figure 3). We used a multiresolution approach with local windows of different sizes and the negative SSD as the local similarity measure. A threshold ts then separates good quality areas of the registration from inferior quality regions based on the window sizes and resolutions.

Abdominal Imaging 2013, LNCS 8198, pp. 46–52, 2013. c Springer-Verlag Berlin Heidelberg 2013 Registration of Temporally Separated CT Colonography Cases 47 of polyps across longitudinal CTCs can be even more challenging and timeconsuming than manual matching between prone and supine scans taken on the same day. This study investigates the ability of a recently reported registration method [8] to temporally align separated CTC cases, acquired several months apart. No other study has investigated registration accuracy for methods that establish full surface correspondence between follow-up CTC examinations.

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Abdominal Imaging. Computation and Clinical Applications: 5th International Workshop, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013. Proceedings by Peter J. Schüffler, Dwarikanath Mahapatra, Jeroen A. W. Tielbeek, Franciscus M. Vos (auth.), Hiroyuki Yoshida, Simon Warfield, Michael W. Vannier (eds.)


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