International journal of computer assisted radiology and surgery
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Int J Comput Assist Radiol Surg · Oct 2019
ReviewToward versatile cooperative surgical robotics: a review and future challenges.
Surgical robotics has developed throughout the past 30 years resulting in more than 5000 different approaches proposed for various surgical disciplines supporting different surgical task sequences and differing ways of human-machine cooperation or degrees of automation. However, this diversity of systems influences cost as well as usability and might hinder their widespread adoption. In combination with the current trend toward open and modular "plug and play" dynamic networks of medical devices and IT systems in the operating room, a modular human-robot system design with versatile access to cooperative functions with varying degrees of automation on demand is desirable. Therefore, standardized robotic device profiles describing essential functional characteristics of cooperative robotic systems are mandatory. ⋯ Modular system design can be expanded toward functionalities or different degrees of autonomy, shared or manual control. The proposed device profiles of cooperative surgical robots could lay the foundation for integration into open and modular dynamic "plug and play" networks in the operating room to enhance versatility, benefit-to-cost ratio and, thereby, market spread of surgical robotics.
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Int J Comput Assist Radiol Surg · Oct 2019
Segmentation-based registration of ultrasound volumes for glioma resection in image-guided neurosurgery.
In image-guided surgery for glioma removal, neurosurgeons usually plan the resection on images acquired before surgery and use them for guidance during the subsequent intervention. However, after the surgical procedure has begun, the preplanning images become unreliable due to the brain shift phenomenon, caused by modifications of anatomical structures and imprecisions in the neuronavigation system. To obtain an updated view of the resection cavity, a solution is to collect intraoperative data, which can be additionally acquired at different stages of the procedure in order to provide a better understanding of the resection. A spatial mapping between structures identified in subsequent acquisitions would be beneficial. We propose here a fully automated segmentation-based registration method to register ultrasound (US) volumes acquired at multiple stages of neurosurgery. ⋯ The segmented structures demonstrated to be good candidates to register US volumes acquired at different neurosurgical phases. Therefore, our solution can compensate brain shift in neurosurgical procedures involving intraoperative US data.
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Int J Comput Assist Radiol Surg · Oct 2019
Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH)-phase II: rupture risk assessment.
Assessing the rupture probability of intracranial aneurysms (IAs) remains challenging. Therefore, hemodynamic simulations are increasingly applied toward supporting physicians during treatment planning. However, due to several assumptions, the clinical acceptance of these methods remains limited. ⋯ MATCH compares state-of-the-art image-based blood flow simulation approaches to assess the rupture risk of IAs. Furthermore, this challenge highlights the importance of multivariate analyses by combining clinically relevant metadata with advanced morphological and hemodynamic quantification.