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

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

This booklet constitutes the refereed court cases of the fifth overseas Workshop CCAA 2013, held along side MICCAI 2013, in Nagoya, Japan, in September 2013. The ebook comprises 32 papers which have been conscientiously reviewed and chosen from 38 submissions. the subjects coated are belly atlases, form research and morphology in stomach constructions and organs, detection of anatomical and practical landmarks, dynamic, useful, physiologic, and anatomical stomach imaging, registration equipment for belly intra- and inter-patient variability, augmented fact concepts 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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It can be seen in the HE image without reorientation (b) that there is a disparity with the ’ground truth’ (e), see the white arrows. Instead, the reoriented image (c) from (b) much closer resembles the ground truth (f). 3 Registration Framework Inspired by [10] our similarity metric at each voxel is the mean absolute differences of HE’s: S(HEf (x), HEm (x)) = mean|HEf (x) − HEm (x)|2 (7) Self Similarity Image Registration Based on Reorientation of the Hessian 23 Fig. 1. Illustration of the effect of reorientation on the HE.

Manual matching H. Yoshida et al. ): 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.

5%, Baxter, Utrecht, Self Similarity Image Registration Based on Reorientation of the Hessian 25 Fig. 2. Registration comparison for case 4. Top is an overview image, bottom shows a detail (as indicated). From left to right are images prior to registration, images registered by MIND and by ROHE, respectively. In all imageshe inhale phase (fixed image) is displayed in magenta and exhale phase (moving image) is displayed in green. The Netherlands) 1 hour before acquiring the MRI scans to achieve bowel distention.

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