Get Augmented Environments for Computer-Assisted Interventions: PDF

By Cristian A. Linte, Ziv Yaniv, Pascal Fallavollita, Purang Abolmaesumi, David R. Holmes III (eds.)

This ebook constitutes the refereed lawsuits of the ninth foreign Workshop on Augmented Environments for Computer-Assisted Interventions, held along with MICCAI 2014, in Boston, MA, united states in September 2014. The 15 revised complete papers offered have been conscientiously reviewed and chosen from 23 submissions. The scope of the workshop spans the theoretical and functional facets of augmented truth and visualization desktop assisted intervention, interventional imaging, image-guided robotics, image-guided intervention, surgical making plans and simulation, systematic additional- and intra-corporeal imaging modalities, normal organic and neuroscience picture computing, sufferer particular modeling, and clinical snapshot understanding.

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Extra info for Augmented Environments for Computer-Assisted Interventions: 9th International Workshop, AE-CAI 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 14, 2014. Proceedings

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Synthetic and in-vivo experiments show that the proposed algorithm outperforms RANSAC-based stereo visual odometry in non-rigid laparoscopic surgery scenes. 1 Introduction Stereo laparoscopes are becoming increasingly popular in Minimally Invasise Surgey (MIS). The main reason behind their wide adoption is the possibility of recovering the 3D structure of the surgical site to provide the surgeon with depth perception of the operating field. Despite of being a difficult problem due to the dynamics of the medical environment that combine occlusions from the surgical instruments with strong specularities, several authors have already Miguel Louren¸co and Jo˜ ao Barreto want to thank QREN-Mais Centro by funding through the project Novas Tecnologias para apoio ` a Sa´ ude e Qualidade de Vida, Projecto A- Cirurgia e Diagn´ ostico Assistido por Computador Usando Imagem and the Portuguese Science Foundation by funding through grant SFRH/BD/63118/2009.

This makes it highly challenging to align the image plane with the target, thus moving between targets requires extensive time and skill to obtain an adequate view. During navigation of a working catheter based instrument, cardiologists presently use a combination of pre-operative images, fluoroscopic imaging, electroanatomic mapping, and minimal haptic feedback through the catheter handle. However, the actual instrument tip-to-tissue interaction can only be visualized in real-time with the use of US imaging, and these interactions could be effectively visualized with ICE.

Fortunately, the 2D slices can be acquired at any spacing, so the gaps can be made small, at the expense of longer sweeping times. Furthermore, the actual catheter tip locations at two adjacent frames and the commanded tip trajectory are known. This allows us to generate an image through a ‘virtual’ tip position on the trajectory by projecting images from the two closest 2D frames to the virtual position. The new image is then interpolated onto the 3D volume. Coupe [13] reported a similar 3D freehand US reconstruction method using probe trajectory (PT), and concluded that since the virtual slice was generated by using the information from the closest two frames, this method outperformed traditional approaches such as Voxel Nearest Neighbor (VNN) [14] and Distance Weighted interpolation (DW) [15].

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