Download Clinical Image-Based Procedures. Translational Research in by Marius Erdt, Marius George Linguraru, Cristina Oyarzun PDF

By Marius Erdt, Marius George Linguraru, Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, Miguel Angel González Ballester, Klaus Drechsler (eds.)

This ebook constitutes revised chosen papers from the overseas Workshop on medical Image-Based strategies, CLIP 2013, held along side MICCAI 2012 in Nagoya, Japan, in September 2013. the nineteen papers offered during this quantity have been conscientiously reviewed and chosen from 26 submissions. The workshop used to be a effective and fascinating discussion board for the dialogue and dissemination of clinically demonstrated, cutting-edge tools for image-based making plans, tracking and assessment of clinical procedures.

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Read or Download Clinical Image-Based Procedures. Translational Research in Medical Imaging: Second International Workshop, CLIP 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Revised Selected Papers PDF

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Extra resources for Clinical Image-Based Procedures. Translational Research in Medical Imaging: Second International Workshop, CLIP 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Revised Selected Papers

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MIA 13, 621–633 (2009) 4. : Single-view 2D/3D registation for X-ray guided bronchoscopy. In: IEEE ISBI, ISBI’10, pp. 233–236. IEEE Press (2010) 5. : Fast marker based C-arm pose estimation. MICCAI 11, 652–659 (2008) 6. : C-arm tracking by intensity-based registration of a fiducial in prostate brachytherapy. , Jannin, P. ) IPCAI 2010. LNCS, vol. 6135, pp. 45–55. Springer, Heidelberg (2010) 7. : Airway segmentation framework for clinical environments. , et al. ) MICCAI Workshop on Pulmonary Image Analysis, London, UK, pp.

Bériault et al. number of estimated parameters. However, an isotropic MRF configuration applied to SWI will eliminate many thin veins simply because a majority of neighboring voxels would be classified as tissue. Instead, we implemented an anisotropic MRF where potential values bij are configured to favor the influence of neighboring voxels classified as vessel over those classified as tissue. Since the blood vessels in the dataset do not have the same orientation, the MRF is non-homogeneous, meaning the potential values bij vary with the spatial location of xi.

CLIP 2013, LNCS 8361, pp. 39–47, 2014. 1007/978-3-319-05666-1_6, Ó Springer International Publishing Switzerland 2014 40 S. Bériault et al. Susceptibility weighted imaging (SWI) [2] is a relatively new T2*-weighted gradient echo MRI technique that exploits both the magnitude and phase of the complex MRI signal to increase sensitivity to deoxygenated (venous) blood and to deep brain structures rich in iron content. SWI already provides useful information in a variety of clinical applications including traumatic brain injury, vascular malformations, strokes and neurodegenerative disorders [3].

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