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 e-book constitutes revised chosen papers from the overseas Workshop on medical Image-Based approaches, CLIP 2013, held along side MICCAI 2012 in Nagoya, Japan, in September 2013. the nineteen papers offered during this quantity have been rigorously reviewed and chosen from 26 submissions. The workshop was once a efficient and interesting discussion board for the dialogue and dissemination of clinically proven, state of the art tools for image-based making plans, tracking and overview of scientific 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 info 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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6(a)). Using a Ziehm flat-detector C-arm, 41 X-ray images from typical positions and angles were acquired (see Fig. 6(b)). After initial patient-to-table alignment on the first image, C-arm pose estimation was executed on the following images, of which 20 were acquired by translations in x- ([−20 cm; 20 cm]), y- ([−15 cm; 15 cm]) and z-direction ([67 cm; 52 cm]) and 20 by rotations around the transversal ([−15◦ ; 15◦ ]) and longitudinal ([−20◦ ; 20◦ ]) axis. Afterwards, all visible markers were removed from the images by inpainting (see Fig.

Lateral regions of Fig. g. Fig. 2). The kappa index was computed between the MRF and expert-based segmentations (MRF-manual kappa), and between conventional vesselness (t) and expert-based segmentations (t-manual kappa). Since the vesselness segmentation is non-binary, we considered the maximal t-manual kappa index on a range of possible thresholds. Results of the comparison are shown in Table 1. 86. Furthermore, the MRF-manual is higher then the maximal t-manual kappa index for 11 out of 12 slabs.

LNCS, vol. 7029, pp. 125–132. Springer, Heidelberg (2012) 10. : Marker detection evaluation by phantom and cadaver experiments for C-arm pose estimation pattern. In: SPIE Medical Imaging, pp. 86711V–86711V9 (2013) 11. : Extraction of airways from CT (EXACT’09). IEEE Trans. Med. Imaging 31(11), 2093–2107 (2012) 12. : The lung image database consortium (LIDC): ensuring the integrity of expert-defined “truth”. Acad. Radiol. de 2 Department of Oto-Rhino-Laryngology, D¨ usseldorf University Hospital, D¨ usseldorf, Germany Cognitive Computing and Medical Imaging, Fraunhofer IGD, Darmstadt, Germany Abstract.

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