2011
DOI: 10.1118/1.3590374
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Computer-assisted trajectory planning for percutaneous needle insertions

Abstract: The proposed computer-assisted trajectory planning system is able to detect unsafe and propose safe insertion trajectories and may especially be helpful for interventional radiologist at the beginning or during their interventional training.

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Cited by 80 publications
(65 citation statements)
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“…We want to emphasize that the system has potential to be applied to an even broader context of clinical applications, such as teaching and learning of anatomy [6,49], intuitive visualization for physicians and patients during ward round, close-to-patient visualization directly before intervention (i.e., actualization of procedure planning and prevention adverse events). In combination with trajectory planning [40], it could be applied for punctures and biopsy [32]. New sensors and mobile devices will help improve our prototype, increase accuracy further and allow for rigid applications like percutaneous nephrolithotomy [32].…”
Section: Discussionmentioning
confidence: 99%
“…We want to emphasize that the system has potential to be applied to an even broader context of clinical applications, such as teaching and learning of anatomy [6,49], intuitive visualization for physicians and patients during ward round, close-to-patient visualization directly before intervention (i.e., actualization of procedure planning and prevention adverse events). In combination with trajectory planning [40], it could be applied for punctures and biopsy [32]. New sensors and mobile devices will help improve our prototype, increase accuracy further and allow for rigid applications like percutaneous nephrolithotomy [32].…”
Section: Discussionmentioning
confidence: 99%
“…Trajectory planning The insertion trajectory was planned in the CT volume using an interactive planning interface by selecting insertion and target point as presented in Seitel et al [40]. For more complex scenarios, the prototype also allows for automatic planning [40].…”
Section: Prototype Implementationmentioning
confidence: 99%
“…Targeting was conducted from the developer of the system for all ten artificial targets. The trajectory was planned using the point-and-click interface of the planning system presented in previous work [40]. After each targeting, a control CT scan was acquired for computation of the targeting error.…”
Section: Phantom Studymentioning
confidence: 99%
“…Altrogge et al [1] used a temperaturebased cost function for computing the best trajectories, maximizing the temperature of the tumor and minimizing the temperature of healthy tissue, avoiding the contact with the surrounding vessels. Baegert et al [2,3] estimated best trajectories penalizing the ones that crossed vital organs in the abdomen, while Seitel et al [26] introduced other optimization parameters such as instrument shape and penetration angle. Afterward, they focused their work on the brain district, where similar optimization criteria have to be accounted for in case of deep brain stimulation (DBS) procedures.…”
Section: Introductionmentioning
confidence: 99%