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

INCH

0302-9743 entions and robotics; image segmentation; cardiovascular imaging; and brain imaging: structure, function and disease evolution.978-3-642-33414-6978-3-642-33415-3Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Reliable Assessment of Perfusivity and Diffusivity from Diffusion Imaging of the Bodyter updates. Simulation experiments show that our approach reduces the relative root mean square error of the estimated parameters by 80% for the .. parameter and by 50% for the . and . parameters. We demonstrated the clinical impact of our model in distinguishing between enhancing and nonenhancing

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Domain Transfer Learning for MCI Conversion Predictionansferring auxiliary domain knowledge, and (2) the adapted support vector machine (SVM) decision function construction for cross-domain and auxiliary domain knowledge fusion. Experimental results on the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database show that the proposed method can sig

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Simulation of Pneumoperitoneum for Laparoscopic Surgery Planningted using computed tomography [CT] images of two pigs, before and after pneumoperitoneum. Results show that our method provides a very realistic estimation of skin, viscera and artery positions with an average error within 1 cm.

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Quantitative Characterization of Trabecular Bone Micro-architecture Using Tensor Scale and Multi-Deti-row detector CT (MD-CT) imaging. Specifically, new measures characterizing individual trabeculae on the continuum of a perfect plate and a perfect rod and their orientation are directly computed in a volumetric BMD representation of a TB network. Reproducibility of these measures is evaluated usin

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Robust MR Spine Detection Using Hierarchical Learning and Local Articulated Modelanchor vertebrae to gain additional robustness. Disc locations are derived from a cloud of responses from disc detectors, which is robust to sporadic voxel-level errors. ., owing to the non-rigidness of spine anatomies, we employ a . model to effectively model the spatial relations across vertebrae

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Yinxiao Liu,Punam K. Saha,Ziyue Xu 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