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Titlebook: Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2012; 15th International C Nicholas Ayache,Hervé Delingette,Kensaku Mo

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發(fā)表于 2025-3-23 13:40:02 | 只看該作者
12#
發(fā)表于 2025-3-23 16:47:27 | 只看該作者
Automatic Categorization of Anatomical Landmark-Local Appearances Based on Diffeomorphic Demons and well as synthesized intermediate images calculated from all subject-pairs in the cluster, are used to train the corresponding subgroup detector. All of these trained detectors compose a detector ensemble to detect the target landmark. Evaluation with clinical CT datasets showed great improvement in the detection performance.
13#
發(fā)表于 2025-3-23 21:46:47 | 只看該作者
Fast Diffusion Tensor Registration with Exact Reorientation and Regularizational efficiency of the Demons algorithm to diffusion images, but does not sacrifice registration goodness. In our experiments, the new algorithm achieved state-of-art performance at a ten-fold decrease of computational time.
14#
發(fā)表于 2025-3-24 01:33:09 | 只看該作者
Curvilinear Structure Enhancement with the Polygonal Path Image - Application to Guide-Wire Segmentaf the structures under study; and it can be computed efficiently. We estimate quantitatively its performance in the context of interventional cardiology for the detection of guide-wires in X-ray images. We show that . is particularly well suited for this task where it appears to outperform previous state of the art techniques.
15#
發(fā)表于 2025-3-24 05:19:25 | 只看該作者
A Novel Approach for Global Lung Registration Using 3D Markov-Gibbs Appearance Modelived automatically from the prototype. An object is aligned by an affine transformation maximizing the similarity by using an automatic initialization followed by a gradient search. Experiments confirm that our approach aligns complex objects better than popular conventional algorithms.
16#
發(fā)表于 2025-3-24 08:21:35 | 只看該作者
Analytic Regularization of Uniform Cubic B-spline Deformation Fieldsputing the bending energy of a three-dimensional B-spline deformation field as a quadratic matrix operation on the spline coefficient values. Results presented on ten thoracic case studies indicate the analytic solution is between 61–1371x faster than a numerical central differencing solution.
17#
發(fā)表于 2025-3-24 11:08:53 | 只看該作者
Conference proceedings 2012 on cardiovascular imaging: planning, intervention and simulation; image registration; neuroimage analysis; diffusion weighted imaging; image segmentation; computer-assisted interventions and robotics; and image registration: new methods and results.
18#
發(fā)表于 2025-3-24 17:44:18 | 只看該作者
Temporal Shape Analysis via the Spectral Signaturee apply our representation to the shapes of the ventricles extracted from 22 cine MR scans of healthy controls and Tetralogy of Fallot patients. We then measure the accuracy score of our encoding by training a linear classifier, which outperforms the same classifier based on volumetric measurements.
19#
發(fā)表于 2025-3-24 20:30:57 | 只看該作者
Joint T1 and Brain Fiber Log-Demons Registration Using Currents to Model Geometry.. images and 65 fiber bundles consistently extracted in 12 subjects and compare it against non-linear .., tensor, and multi-modal ..?+ Fractional Anisotropy (FA) registration algorithms. Results show the superiority of the Log-domain Geometric Demons over their purely iconic counterparts.
20#
發(fā)表于 2025-3-25 01:03:29 | 只看該作者
Peng Wang,Yefeng Zheng,Matthias John,Dorin Comaniciu is a well-written introductory text, and it provides fundamental information to improve understanding and clinical applications of this rapidly-evolving imaging modality. The next978-0-387-32166-0978-0-387-38335-4
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