Medical Image Computing and Computer-Assisted Intervention - by Nicholas Ayache, Sebastien Ourselin, Anthony Maeder PDF

By Nicholas Ayache, Sebastien Ourselin, Anthony Maeder

ISBN-10: 3540757562

ISBN-13: 9783540757566

This name is a part of a two-volume set that represent the refereed court cases of the tenth foreign convention on scientific picture Computing and Computer-Assisted Intervention, MICCAI 2007. insurance during this first quantity comprises diffusion tensor imaging and computing, cardiac imaging and robotics, picture segmentation and category, photo guided intervention and robotics, cutting edge medical and organic purposes, mind atlas computing, and simulation of therapy.

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Successful reconstruction of a 3D representation of diffusion tensor matrix that can then be reformatted into any desired plane thus has 3 requirements: 1) Sufficient samples in Ω with at least 6 independent diffusion directions as well as a non-diffusion weighted (b=0) image to allow full representation of the anatomical structure. 2) Determination of the mapping from Ω0 to Ω for each sample 3) Reconstruction of the diffusion tensor matrix D on a regular sampled 3D space given the scattered, irregularly spaced samples I(x,y,z) that are each associated with an appropriately oriented diffusion gradient direction.

Alain Pitiot, John Totman, and Penny Gowland Characterizing Task-Related Temporal Dynamics of Spatial Activation Distributions in fMRI BOLD Signals . . . . . . . . . . . . . . . . Bernard Ng, Rafeef Abugharbieh, Samantha J. Palmer, and Martin J. McKeown Contraction Detection in Small Bowel from an Image Sequence of Wireless Capsule Endoscopy . . . . . . . . . . . . . . . . . . . . Hai Vu, Tomio Echigo, Ryusuke Sagawa, Keiko Yagi, Masatsugu Shiba, Kazuhide Higuchi, Tetsuo Arakawa, and Yasushi Yagi 751 759 767 775 Boundary-Specific Cost Functions for Quantitative Airway Analysis .

Naohiko Sugita, Yoshikazu Nakajima, Mamoru Mitsuishi, Shosaku Kawata, Kazuo Fujiwara, Nobuhiro Abe, Toshifumi Ozaki, and Masahiko Suzuki 994 Author Index . . . . . . . . . . . . . . . . . . . . . . . . . edu Abstract. In algorithms for processing diffusion tensor images, two common ingredients are interpolating tensors, and measuring the distance between them. We propose a new class of interpolation paths for tensors, termed geodesic-loxodromes, which explicitly preserve clinically important tensor attributes, such as mean diffusivity or fractional anisotropy, while using basic differential geometry to interpolate tensor orientation.

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Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007: 10th International Conference, Brisbane, Australia, October 29 - November 2, ... Vision, Pattern Recognition, and Graphics) by Nicholas Ayache, Sebastien Ourselin, Anthony Maeder


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