Download Clinical Image-Based Procedures. From Planning to by Martin Hoßbach, Johannes Gregori (auth.), Klaus Drechsler, PDF

By Martin Hoßbach, Johannes Gregori (auth.), Klaus Drechsler, Marius Erdt, Marius George Linguraru, Cristina Oyarzun Laura, Karun Sharma, Raj Shekhar, Stefan Wesarg (eds.)

This e-book constitutes the completely refereed post-workshop complaints of the overseas Workshop on scientific Image-based tactics: From making plans to Intervention, CLIP 2012, held in great, France, along side the fifteenth overseas convention on clinical photograph Computing and Computer-Assisted Intervention, MICCAI 2012. This winning workshop was once a efficient and interesting discussion board for the dialogue and dissemination of clinically proven, state of the art equipment for image-based making plans, tracking and assessment of clinical techniques. The sixteen papers offered during this quantity have been rigorously reviewed and chosen from 24 submissions.

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Read or Download Clinical Image-Based Procedures. From Planning to Intervention: International Workshop, CLIP 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 5, 2012, Revised Selected Papers PDF

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Extra resources for Clinical Image-Based Procedures. From Planning to Intervention: International Workshop, CLIP 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 5, 2012, Revised Selected Papers

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Recently, Grady et al. [8] proposed a graph-based method to segment Color Doppler volumes and computed the proximal isovelocity surface area (PISA). The algorithm requires a manual initialization of the jet origin around the valve coaptation point. In this paper, we propose a new framework to automatically detect and quantify mitral regurgitation on TTE data. 3D features are computed on multiple channels, including the volumetric anatomical (B-Mode) and hemodynamical (Color Doppler) data, to extract both morphological and functional information.

The reference for normal statistics is obtained voxel based from the set of co-registered control images and is used to infer the probability of FCD. The FCD lesions are identified with high confidence and increased sensitivity compared to the commonly used clinical method [16]. The reference for the validation is a visual evaluation by an expert physician as well as the resected region that results in seizure freedom. 2 Method A variety of intensity based, texture based, and form based features are extracted from the T1 -w and the FLAIR images.

CLIP 2012, LNCS 7761, pp. 33–41, 2013. c Springer-Verlag Berlin Heidelberg 2013 34 Y. Wang et al. (a) (b) (c) Fig. 1. Example of a TTE volume data and the fitted mitral valve model: (a) volumetric B-Mode image, (b) volumetric Color Doppler image with the segmented 3D proximal isovelocity surface area (3D PISA) shown on the right in the green color, and (c) the fitted mitral valve model with mitral regurgitation edge-to-edge technique, which consists in suturing the two mitral leaflets at the regurgitant hole, has demonstrated good clinical outcomes [1].

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