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Computer assisted surgery systems intraoperatively support the surgeon by providing information on the location of hidden risk and target structures during surgery. However, soft tissue deformations make intraoperative registration (and thus intraoperative navigation) difficult. In this work, a novel, biomechanics based approach for real-time soft tissue registration from sparse intraoperative sensor data such as stereo endoscopic images is presented to overcome this problem.
The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022. The 574 revised full papers presented were carefully reviewed and selected from 1831 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: Brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; heart and lung imaging; dermatology; Part II: Computational (integrative) pathology; computational anatomy and physiology; op...
This book constitutes the refereed proceedings of the First International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2019, and the 8th International Workshop on Clinical Image-Based Procedures, CLIP 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. For UNSURE 2019, 8 papers from 15 submissions were accepted for publication. They focus on developing awareness and encouraging research in the field of uncertainty modelling to enable safe implementation of machine learning tools in the clinical world. CLIP 2019 accepted 11 papers from the 15 submissions received. The workshops provides a forum for work centred on specific clinical applications, including techniques and procedures based on comprehensive clinical image and other data.
Andreas Bihlmaier describes a novel method to model dynamic spatial relations by machine learning techniques. The method is applied to the task of representing the tacit knowledge of a trained camera assistant in minimally-invasive surgery. The model is then used for intraoperative control of a robot that autonomously positions the endoscope. Furthermore, a modular robotics platform is described, which forms the basis for this knowledge-based assistance system. Promising results from a complex phantom study are presented.
Diagnostik und laparoskopische Therapie von Leistenhernien, Bauchwand- und Narbenhernien sowie Hiatushernien werden Schritt für Schritt und mit zahlreichen Abbildungen von einem internationalen Expertenteam beschrieben. Neben den etablierten Verfahren sind auch neu entwickelte Operationstechniken und das Vorgehen bei atypischen und komplexen Hernienformen dargestellt, ebenso die Prävention und Behandlung von Komplikationen. Der Netztechnologie ist zu jedem der Hauptthemen ein eigenes Kapitel gewidmet. Vor- und Nachteile der einzelnen Behandlungsformen werden diskutiert und verglichen. Jedes Kapitel nimmt dabei Bezug auf die anerkannten Leitlinien der Fachgesellschaften und die relevanten Studien, Übersichten und Metaanalysen und bezieht zugleich die Erfahrungen und Empfehlungen renommierter Hernienchirurgen ein. Standardisierte Operationstechnik und evidenzbasierte Entscheidungsfindung tragen zur Verbesserung der Behandlungsergebnisse in der laparo-endoskopischen Hernienchirurgie bei.
This book is distinctive in that it focuses exclusively on current laparoscopic and endoscopic techniques for inguinal, primary and incisional abdominal wall, and hiatal hernias. Individual steps in diagnosis and treatment are described by experts in the field, but this clinical expertise is also integrated with the best available external evidence from systematic research as encapsulated in statements, recommendations, and guidelines. The reader will thus not only learn how to perform techniques systematically and reproducibly but also come to understand which of the procedures have been scientifically validated by studies, reviews, and meta-analyses and which have simply developed empirica...
Zur Behandlung der gastroösophagealen Refluxkrankheit (GERD) stehen sehr effektive, lang bewährte Medikamente und konservative Maßnahmen sowie eine Reihe guter chirurgischer Therapiemöglichkeiten zur Verfügung. Doch welche Strategien gibt es bei der konservativen Behandlung? Wieviel Diagnostik ist sinnvoll oder gar notwendig vor einer differenzierten Therapieentscheidung? Wann ist die chirurgische Behandlung indiziert und welches Verfahren sollte wann gewählt werden? Dieses Buch bietet gezielt Hilfestellung für eine umfassende Diagnostik, ein differenziertes Vorgehen bei der Indikationsstellung, die Verfahrenswahl und das adäquate operative Vorgehen. Neben der detaillierten Darstellu...
Deep knowledge of anatomy and surgical technique will continue to remain the foundation of surgery despite advancement in surgical technology. Robotic surgery usage has increased drastically in the last decade. More than ever before, surgical community in great need for an updated atlas in the various upper GI surgical procedures and techniques available. This atlas demonstrates how to perform the most common Upper GI robotic procedure via a set of high-quality state-of-the-art annotated images showing step-by-step guidance providing pertinent and concise procedure descriptions spanning benign and malignant upper GI problems. Robotic upper GI procedures are considered technically demanding w...
This book constitutes the refereed proceedings of the 5th International Conference on Information Processing in Computer-Assisted Interventions, IPCAI 2014, held in Fukuoka, Japan, on June 28, 2014. The 28 papers presented were carefully reviewed and selected from 58 submissions. The papers are organized in topical sections on planning, simulation, patient specific models for computer assisted interventions, medical robotics and surgical navigation, interventional imaging and advanced intra-op visualization, cognition, modeling and context awareness, clinical applications, systems, software, and validation.
The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning – transfer learning; Part II: Machine learning – learning strategies; machine learning – explainability, bias, and uncertainty; Part III: Machine learnin...