LEADER 05636nam 2200625 a 450 001 9910484173003321 005 20200520144314.0 010 $a1-280-38726-2 010 $a9786613565181 010 $a3-642-13711-3 024 7 $a10.1007/978-3-642-13711-2 035 $a(CKB)2670000000028953 035 $a(SSID)ssj0000446543 035 $a(PQKBManifestationID)11269478 035 $a(PQKBTitleCode)TC0000446543 035 $a(PQKBWorkID)10496364 035 $a(PQKB)11304432 035 $a(DE-He213)978-3-642-13711-2 035 $a(MiAaPQ)EBC3065440 035 $a(PPN)149063989 035 $a(EXLCZ)992670000000028953 100 $a20100807d2010 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aInformation processing in computer-assisted interventions $eFirst International Conference, IPCAI 2010 Geneva, Switzerland, June 23, 2010 : Proceedings /$fNassir Navab, Pierre Jannin (eds.) 205 $a1st ed. 2010. 210 $aBerlin $cSpringer$d2010 215 $a1 online resource (XIII, 202 p. 94 illus.) 225 1 $aLecture notes in computer science,$x0302-9743 ;$v6135 225 1 $aLNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-13710-5 320 $aIncludes bibliographical references and index. 327 $aCAI: Imaging, Modeling and Visualization -- Visualization and Planning of Neurosurgical Interventions with Straight Access -- Active Multispectral Illumination and Image Fusion for Retinal Microsurgery -- An Iterative Framework for Improving the Accuracy of Intraoperative Intensity-Based 2D/3D Registration for Image-Guided Orthopedic Surgery -- Automatic Phases Recognition in Pituitary Surgeries by Microscope Images Classification -- Clinical Applications and Validation -- C-arm Tracking by Intensity-Based Registration of a Fiducial in Prostate Brachytherapy -- First Animal Cadaver Study for Interlocking of Intramedullary Nails under Camera Augmented Mobile C-arm -- Medical Robotics, Instrumentation, and Modeling -- Robot-Assisted Laparoscopic Ultrasound -- New Kinematic Metric for Quantifying Surgical Skill for Flexible Instrument Manipulation -- GPU-Accelerated Robotic Intra-operative Laparoscopic 3D Reconstruction -- A Minimally Invasive Multimodality Image-Guided (MIMIG) Molecular Imaging System for Peripheral Lung Cancer Intervention and Diagnosis -- Simulating Dynamic Ultrasound Using MR-derived Motion Models to Assess Respiratory Synchronisation for Image-Guided Liver Interventions -- Cardiovascular Modeling and Navigation -- Rapid Image Registration of Three-Dimensional Transesophageal Echocardiography and X-ray Fluoroscopy for the Guidance of Cardiac Interventions -- Patient-Specific Modeling and Analysis of the Mitral Valve Using 3D-TEE -- Evaluation of a 4D Cone-Beam CT Reconstruction Approach Using an Anthropomorphic Phantom -- Planning, Simulation, and Guidance -- Determination of Pelvic Orientation from Ultrasound Images Using Patch-SSMs and a Hierarchical Speed of Sound Compensation Strategy -- Ultrasound Servoing of Catheters for Beating Heart Valve Repair -- Towards a Verified Simulation Model for Radiofrequency Ablations -- Early Clinical Evaluation of a Computer Assisted Planning System for Deep Brain Surgeries: 1 Year of Clinical Assistance. 330 $aThanks to scientific and technological advances in many parallel fields, medical procedures are rapidly evolving towards solutions which are less invasive and more effective. In the previous decades, information processing in diagnostic imaging provided many solutions to physicians in particular within radiology, neurology, cardiology, nuclear medicine and radiation therapy departments. In the last decade, progress in computer technology, imaging and mechatronics has allowed computer-assisted intervention (CAI) systems and solutions to penetrate the intervention and operating rooms. CAI?s major challenge in the beginning of the twenty-first century is real-time processing, analysis and visualization of large amount of heterogeneous, static and dynamic patient data, and understanding of surgery for designing intelligent operating rooms and developing advanced training tools. Excellent scientists, engineers and physicians have created many advanced research groups around the world and are starting to provide innovative, breakthrough solutions. Information Processing in Computer-Assisted Interventions (IPCAI) aims at gathering the best work in this field and allowing authors to present and discuss it in detail. IPCAI wishes to select and present the highlights of research in CAI and aims at distinguishing itself for the quality of the presented papers and the excitement and depth of the discussions they generate. 410 0$aLecture notes in computer science ;$v6135. 410 0$aLNCS sublibrary.$nSL 6,$pImage processing, computer vision, pattern recognition, and graphics. 606 $aMedicine$xData processing$vCongresses 606 $aDiagnostic imaging$xData processing$vCongresses 615 0$aMedicine$xData processing 615 0$aDiagnostic imaging$xData processing 676 $a616.07/54 686 $a610$2GyFmDB 701 $aNavab$b Nassir$01365696 701 $aJannin$b Pierre$01752467 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484173003321 996 $aInformation processing in computer-assisted interventions$94187787 997 $aUNINA