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• The Patient Comes First: The Perfect Surrogate / Richard A. Robb
• Time to Go Augmented in Vascular Interventional Neuroradiology? / René Anxionnat, Marie-Odile Berger
• Endoscopic Image Overlay for the Targeting of Hidden Anatomy in Laparoscopic Visceral Surgery / Matteo Fusaglia, Kate Gavaghan, Guido Beldi
• Modeling of Radiofrequency Ablation Lesions for Image-Guided Arrhythmia Therapy: A Preliminary ex vivo Demonstration / Cristian A. Linte, Jon J. Camp
• Visualization of Organ Motion during Breathing from 4D Datasets / Markus Müller, Athanasios Karamalis
• The Colored X-Rays / André Aichert, Matthias Wieczorek, Jian Wang
• Use of a Mixed-Reality System to Improve the Planning of Brain Tumour Resections: Preliminary Results / Kamyar Abhari, John S.H. Baxter
• Development of New Augmented Reality Function Using Intraperitoneal Multi-view Camera / Naoki Suzuki, Asaki Hattori
• Hand-Held Force Magnifier for Surgical Instruments: Evolution toward a Clinical Device / Randy Lee, Bing Wu, Roberta Klatzky
• A Simulator for Designing Control Schemes for a Teleoperated Flexible Robotic System / Antonio De Donno, Florent Nageotte
• Traceable Particle Swarm Optimization for Electromagnetically Navigated Bronchoscopy / Xiongbiao Luo, Takayuki Kitasaka
• Augmented 3-D View for Laparoscopy Surgery / Brahim Tamadazte, Sandrine Voros
• Generation of Synthetic 4D Cardiac CT Images by Deformation from Cardiac Ultrasound / Feng Li, James A. White, Martin Rajchl
• Interactive OCT Annotation and Visualization for Vitreoretinal Surgery / Marcin Balicki, Rogerio Richa
• Real-Time Feature Matching for the Accurate Recovery of Augmented-Reality Display in Laparoscopic Videos / Gustavo A. Puerto-Souza
• Automated Detection of Mediastinal Lymph Nodes for Assistance of Transbronchial Needle Aspiration / Takayuki Kitasaka, Mitsuhiro Kishimoto.

This book constitutes the refereed proceedings of the International Workshop on Augemented Environments for Computer-Assisted Interventions, held in conjunction with MICCAI 2012, in Nice, France in September 2012. The 16 revised full papers presented were carefully reviewed and selected from 22 submissions. The papers cover the topics of image registration and fusion, calibration, visualization and 3D perception, hardware and optical design, real-time implementation, as well as validation, clinical applications, and clinical evaluation.

• Spinal Cord Gray Matter-White Matter Segmentation on Magnetic Resonance AMIRA Images with MD-GRU.- Predicting Scoliosis in DXA Scans Using Intermediate Representations.- Fast Registration of CT with Intra-operative Ultrasound Images for Spine Surgery.- Automated Grading of Modic Changes Using CNNs - Improving the Performance with Mix-up.- Error Estimation for Appearance Model Segmentation of Musculoskeletal Structures Using Multiple, Independent Sub-models.- Automated Segmentation of Intervertebral Disc using Fully Dilated Separable Deep Neural Networks.- Intensity Standardization of Skeleton in Follow-up Whole-Body MRI.- Towards a Deformable Multi-Surface Approach to Ligamentous Spine Models for Predictive Simulation-Based Scoliosis Surgery Planning.- Intervertebral Disc Segmentation Using Mathematical Morphology-A CNN-Free Approach.
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This book constitutes the refereed proceedings of the 5th International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, CSI 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. The 8 full papers presented together with 8 short papers and 1 keynote were carefully reviewed and selected for inclusion in this volume. Papers on novel methodology and clinical research, and also papers which demonstrate the performance of methods on the provided challenges, the aim is to cover both theoretical and very practical aspects of computerized spinal imaging. .
(source: Nielsen Book Data)

• State-of-the-art techniques.- Novel and emerging analysis and visualization techniques.- Clinical challenges and open problems.- Major aspects of problems related to spine imaging.- Including clinical applications of spine imaging.- Computer aided diagnosis of spine conditions.- Computer aided detection of spine-related diseases.- Emerging computational imaging techniques for spinal diseases, .-Fast 3D reconstruction of spine, feature extraction, multiscale analysis, pattern recognition, image enhancement of spine imaging.- Image-guided spine intervention and treatment, multimodal image registration and fusion for spine imaging.- Novel visualization techniques, segmentation techniques for spine imaging, statistical and geometric modeling for spine and vertebra, spine and vertebra localization.
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This book constitutes the refereed proceedings of the 4th International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, CSI 2016, held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016. The 13 workshop papers were carefully reviewed and selected for inclusion in this volume. They aim at reviewing the state-of-the-art techniques, sharing the novel and emerging analysis and visualization techniques and discussing the clinical challenges and open problems in this rapidly growing field - including all major aspects of problems related to spine imaging, including clinical applications of spine imaging, computer aided diagnosis of spine conditions, computer aided detection of spine-related diseases, emerging computational imaging techniques for spinal diseases, fast 3D reconstruction of spine, feature extraction, multiscale analysis, pattern recognition, image enhancement of spine imaging, image-guided spine intervention and treatment, multimodal image registration and fusion for spine imaging, novel visualization techniques, segmentation techniques for spine imaging, statistical and geometric modeling for spine and vertebra, spine and vertebra localization.
(source: Nielsen Book Data)

• 2D/3D Registration of a Preoperative Model with Endoscopic Video Using Colour-Consistency / Ping-Lin Chang, Dongbin Chen, Daniel Cohen and Philip "Eddie" Edwards
• A Realistic Test and Development Environment for Mixed Reality in Neurosurgery / Simon Drouin, Marta Kersten-Oertel, Sean Jy-Shyang Chen and D. Louis Collins
• Visual Search Behaviour and Analysis of Augmented Visualisation for Minimally Invasive Surgery / Kenko Fujii, Johannes Totz and Guang-Zhong Yang
• Augmented Reality Image Overlay Projection for Image Guided Open Liver Ablation of Metastatic Liver Cancer / Kate Alicia Gavaghan, Sylvain Anderegg, Matthias Peterhans, Thiago Oliveira-Santos and Stefan Weber
• Tissue Deformation Recovery with Gaussian Mixture Model Based Structure from Motion / Stamatia Giannarou and Guang-Zhong Yang
• Towards an Ultrasound Probe with Vision: Structured Light to Determine Surface Orientation / Samantha Horvath, John Galeotti, Bo Wang, Matt Perich and Jihang Wang, et al.
• Markov Modeling of Colonoscopy Gestures to Develop Skill Trainers / Jagadeesan Jayender, Inbar Spofford, Balazs I. Lengyel, Christopher C. Thompson and Kirby G. Vosburgh
• Volume Visualization in the Clinical Practice / Bernhard Kainz, Rupert H. Portugaller, Daniel Seider, Michael Moche and Philipp Stiegler, et al.
• CT-US Registration for Guidance of Transcatheter Aortic Valve Implantation / Pencilla Lang, Michael W. Chu, Daniel Bainbridge, Elvis C.S. Chen and Terry M. Peters
• Enhanced Planning of Interventions for Spinal Deformity Correction Using Virtual Modeling and Visualization Techniques / Cristian A. Linte, Kurt E. Augustine, Paul M. Huddleston, Anthony A. Stans and David R. Holmes III, et al.
• Alignment of 4D Coronary CTA with Monoplane X-ray Angiography / Coert Metz, Michiel Schaap, Stefan Klein, Peter Rijnbeek and Lisan Neefjes, et al.
• VR Training System for Endoscopic Surgery Robot: Development of a System Enabling 4D Analysis of Surgical Technique Training / Naoki Suzuki, Asaki Hattori, Satoshi Ieiri, Morimasa Tomikawa and Hajime Kenmotsu, et al.
• Brain Parcellation Aids in Electrode Localization in Epileptic Patients / Jue Wu, Kathryn Davis, Allan Azarion, Yuanjie Zheng and Hongzhi Wang, et al.

This book constitutes the refereed proceedings of the International Workshop on Augemented Environments for Computer-Assited Interventions, held in conjunction with MICCAI 2011, in Toronto, Canada, in September 2011. The 13 revised full papers presented were carefully reviewed and selected from 21 submissions. The papers cover the following topics: image registration and fusion, calibration, visualisation and 3D perception, hardware and optical design, real-time implementations, validation, clinical applications and clinical evaluation.
(source: Nielsen Book Data)

• Template-Based Conformal Shape-from-Motion-and-Shading for Laparoscopy / Abed Malti, Adrien Bartoli and Toby Collins
• Towards Live Monocular 3D Laparoscopy Using Shading and Specularity Information / Toby Collins and Adrien Bartoli
• Automatic Detection and Localization of da Vinci Tool Tips in 3D Ultrasound / Omid Mohareri, Mahdi Ramezani, Troy Adebar, Purang Abolmaesumi and Septimiu Salcudean
• Real-Time Methods for Long-Term Tissue Feature Tracking in Endoscopic Scenes / Michael C. Yip, David G. Lowe, Septimiu E. Salcudean, Robert N. Rohling and Christopher Y. Nguan
• A Closed-Form Differential Formulation for Ultrasound Spatial Calibration / Mohammad Najafi, Narges Afsham, Purang Abolmaesumi and Robert Rohling
• Model-Based Respiratory Motion Compensation in MRgHIFU / Patrik Arnold, Frank Preiswerk, Beat Fasel, Rares Salomir and Klaus Scheffler, et al.
• Non-iterative Multi-modal Partial View to Full View Image Registration Using Local Phase-Based Image Projections / Ilker Hacihaliloglu, David R. Wilson, Michael Gilbart, Michael Hunt and Purang Abolmaesumi
• A Hierarchical Strategy for Reconstruction of 3D Acetabular Surface Models from 2D Calibrated X-Ray Images / Steffen Schumann, Moritz Tannast, Mathias Bergmann, Michael Thali and Lutz-P. Nolte, et al.

• A Navigation Platform for Guidance of Beating Heart Transapical Mitral Valve Repair / John Moore, Chris Wedlake, Daniel Bainbridge, Gerard Guiraudon and Michael Chu, et al.
• Motion Estimation Model for Cardiac and Respiratory Motion Compensation / Sebastian Kaeppler, Alexander Brost, Martin Koch, Wen Wu and Felix Bourier, et al.
• Cardiac Unfold: A Novel Technique for Image-Guided Cardiac Catheterization Procedures / YingLiang Ma, Rashed Karim, R. James Housden, Geert Gijsbers and Roland Bullens, et al.
• Enabling 3D Ultrasound Procedure Guidance through Enhanced Visualization / Laura J. Brattain, Nikolay V. Vasilyev and Robert D. Howe
• Fast and Robust Registration Based on Gradient Orientations: Case Study Matching Intra-operative Ultrasound to Pre-operative MRI in Neurosurgery / Dante De Nigris, D. Louis Collins and Tal Arbel
• Atlas-Based Segmentation of the Subthalamic Nucleus, Red Nucleus, and Substantia Nigra for Deep Brain Stimulation by Incorporating Multiple MRI Contrasts / Yiming Xiao, Lara Bailey, M. Mallar Chakravarty, Silvain Beriault and Abbas F. Sadikot, et al.
• Towards Systematic Usability Evaluations for the OR: An Introduction to OR-Use Framework / Ali Bigdelou, Aslı Okur, Max-Emanuel Hoffmann, Bamshad Azizi and Nassir Navab
• Improving the Development of Surgical Skills with Virtual Fixtures in Simulation / Albert Hernansanz, Davide Zerbato, Lorenza Gasperotti, Michele Scandola and Paolo Fiorini, et al.
• Sparse Hidden Markov Models for Surgical Gesture Classification and Skill Evaluation / Lingling Tao, Ehsan Elhamifar, Sanjeev Khudanpur, Gregory D. Hager and René Vidal.

This book constitutes the proceedings of the Third International Conference on Information Processing in Computer-Assisted Interventions IPCAI 2012, held in Pisa, Italy, on June 27, 2012. The 17 papers presented were carefully reviewed and selected from 31 submissions during two rounds of reviewing and improvement. The papers present novel technical concepts, clinical needs and applications as well as hardware, software and systems and their validation. The main technological focus is on patient-specific modeling and its use in interventions, image-guided and robotic surgery, real-time tracking and imaging.

• Patient Specific Implants (PSI): Cranioplasty in the Neurosurgical Clinical Routine.- Dataset Descriptor for the AutoImplant Cranial Implant Design Challenge.- Automated Virtual Reconstruction of Large Skull Defects using Statistical Shape Models and Generative Adversarial Networks.- Cranial Implant Design through Multiaxial Slice Inpainting using Deep Learning.- Cranial Implant Design via Virtual Craniectomy with Shape Priors.- Deep Learning Using Augmentation via Registration: 1st Place Solution to the AutoImplant 2020 Challenge.- Cranial Defect Reconstruction using Cascaded CNN with Alignment.- Shape Completion by U-Net: An Approach to the AutoImplant MICCAI Cranial Implant Design Challenge.- Cranial Implant Prediction using Low-Resolution 3D Shape Completion and High-Resolution 2D Refinement.- Cranial Implant Design Using a Deep Learning Method with Anatomical Regularization.- High-resolution Cranial Implant Prediction via Patch-wise Training.- Learning Volumetric Shape Super-Resolution for Cranial Implant Design.
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This book constitutes the First Automatization of Cranial Implant Design in Cranioplasty Challenge, AutoImplant 2020, which was held in conjunction with the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020. The challenge took place virtually due to the COVID-19 pandemic. The 10 papers presented together with one invited paper and a dataset descriptor in this volume were carefully reviewed and selected form numerous submissions. This challenge aims to provide more affordable, faster, and more patient-friendly solutions to the design and manufacturing of medical implants, including cranial implants, which is needed in order to repair a defective skull from a brain tumor surgery or trauma. The presented solutions can serve as a good benchmark for future publications regarding 3D volumetric shape learning and cranial implant design.
(source: Nielsen Book Data)

• Personalized Calvarial Reconstruction in Neurosurgery.- Qualitative Criteria for Designing Feasible Cranial Implants.- Segmentation of Defective Skulls from CT Data for Tissue Modelling.- Improving the Automatic Cranial Implant Design in Cranioplasty by Linking Different Datasets.- Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold Triangulation.- A U-Net based System for Cranial Implant Design with Pre-processing and Learned Implant Filtering.- Sparse Convolutional Neural Network for Skull Reconstruction.- Cranial Implant Prediction by Learning an Ensemble of Slice-based Skull Completion networks.- PCA-Skull: 3D Skull Shape Modelling Using Principal Component Analysis.- Cranial Implant Design using V-Net based Region of Interest Reconstruction.
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This book constitutes the Second Automatization of Cranial Implant Design in Cranioplasty Challenge, AutoImplant 2021, which was held in conjunction with the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, in Strasbourg, France, in September, 2021. The challenge took place virtually due to the COVID-19 pandemic. The 7 papers are presented together with one invited paper, one qualitative evaluation criteria from neurosurgeons and a dataset descriptor. This challenge aims to provide more affordable, faster, and more patient-friendly solutions to the design and manufacturing of medical implants, including cranial implants, which is needed in order to repair a defective skull from a brain tumor surgery or trauma. The presented solutions can serve as a good benchmark for future publications regarding 3D volumetric shape learning and cranial implant design.
(source: Nielsen Book Data)

• CAI: 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.
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Thanks 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.
(source: Nielsen Book Data)