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 complaints of the fifth foreign Workshop CCAA 2013, held together with MICCAI 2013, in Nagoya, Japan, in September 2013. The ebook contains 32 papers which have been rigorously reviewed and chosen from 38 submissions. the subjects lined are belly atlases, form research and morphology in stomach constructions and organs, detection of anatomical and useful landmarks, dynamic, sensible, physiologic, and anatomical belly imaging, registration equipment for belly intra- and inter-patient variability, augmented fact recommendations for intervention, medical purposes in radio-frequency ablation, open surgical procedure, and minimally invasive surgery.
Read or Download Abdominal Imaging. Computation and Clinical Applications: 5th International Workshop, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013. Proceedings PDF
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Extra info for Abdominal Imaging. Computation and Clinical Applications: 5th International Workshop, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013. Proceedings
Automatic Segmentation of the Prostate in 3D MR Images by Atlas Matching Using Localized Mutual Information. Medical Physics 35(4), 1407–1417 (2008) 10. : MIND: Modality Independent Neighbourhood Descriptor for Multi-Modal Deformable Registration. Medical Image Analysis 16(7), 1423–1435 (2012) 11. : Multi-Modal Image Registration Based on Gradient Orientations of Minimal Uncertainty. IEEE Transactions on Medical Imaging 31(12), 2343–2354 (2012) 12. : Surface Mesh to Volumetric Spline Conversion with Generalized Polycubes.
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  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.
Imaging 29(6), 766–776 (2011) 17. : Diﬀusion coeﬃcients in abdominal organs and hepatic lesions: evaluation with intravoxel incoherent motion echo-planar MR imaging. Radiology 210(3), 617–623 (1999) 18. : In vivo assessment of optimal b-value range for perfusion-insensitive apparent diﬀusion coeﬃcient imaging. Medical Physics 39, 4832 (2012) 19. : Image Analysis, Random Fields and Dynamic Monte Carlo Methods, 2nd edn. Springer, New York (2003) 20. : Encoding of anisotropic diﬀusion with tetrahedral gradients: a general mathematical diﬀusion formalism and experimental results.