Alexander Seitel1,2, Nadine Bellemann3, Mohammadreza Hafezi4, Alfred M Franz5, Mark Servatius3, Arash Saffari4, Thomas Kilgus5, Heinz-Peter Schlemmer6, Arianeb Mehrabi4, Boris A Radeleff3, Lena Maier-Hein7. 1. Junior Group: Computer-Assisted Interventions, German Cancer Research Center (DKFZ), Heidelberg, Germany. aseitel@ece.ubc.ca. 2. The Robotics and Control Laboratory, University of British Columbia, Vancouver, Canada. aseitel@ece.ubc.ca. 3. Department of Diagnostic and Interventional Radiology, University Clinic Heidelberg, Heidelberg, Germany. 4. Department of General, Visceral and Transplant Surgery, University Clinic Heidelberg, Heidelberg, Germany. 5. Junior Group: Computer-Assisted Interventions, German Cancer Research Center (DKFZ), Heidelberg, Germany. 6. Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany. 7. Junior Group: Computer-Assisted Interventions, German Cancer Research Center (DKFZ), Heidelberg, Germany. l.maier-hein@dkfz.de.
Abstract
PURPOSE: Percutaneous needle insertions are increasingly used for diagnosis and treatment of abdominal lesions. The challenging part of computed tomography (CT)-guided punctures is the transfer of the insertion trajectory planned in the CT image to the patient. Conventionally, this often results in several needle repositionings and control CT scans. To address this issue, several navigation systems for percutaneous needle insertions have been presented; however, none of them has thus far become widely accepted in clinical routine. Their benefit for the patient could not exceed the additional higher costs and the increased complexity in terms of bulky tracking systems and specialized markers for registration and tracking. METHODS: We present the first markerless and trackerless navigation concept for real-time patient localization and instrument guidance. It has specifically been designed to be integrated smoothly into the clinical workflow and does not require markers or an external tracking system. The main idea is the utilization of a range imaging device that allows for contactless and radiation-free acquisition of both range and color information used for patient localization and instrument guidance. RESULTS: A first feasibility study in phantom and porcine models yielded a median targeting accuracy of 6.9 and 19.4 mm, respectively. CONCLUSIONS: Although system performance remains to be improved for clinical use, expected advances in camera technology as well as consideration of respiratory motion and automation of the individual steps will make this approach an interesting alternative for guiding percutaneous needle insertions.
PURPOSE: Percutaneous needle insertions are increasingly used for diagnosis and treatment of abdominal lesions. The challenging part of computed tomography (CT)-guided punctures is the transfer of the insertion trajectory planned in the CT image to the patient. Conventionally, this often results in several needle repositionings and control CT scans. To address this issue, several navigation systems for percutaneous needle insertions have been presented; however, none of them has thus far become widely accepted in clinical routine. Their benefit for the patient could not exceed the additional higher costs and the increased complexity in terms of bulky tracking systems and specialized markers for registration and tracking. METHODS: We present the first markerless and trackerless navigation concept for real-time patient localization and instrument guidance. It has specifically been designed to be integrated smoothly into the clinical workflow and does not require markers or an external tracking system. The main idea is the utilization of a range imaging device that allows for contactless and radiation-free acquisition of both range and color information used for patient localization and instrument guidance. RESULTS: A first feasibility study in phantom and porcine models yielded a median targeting accuracy of 6.9 and 19.4 mm, respectively. CONCLUSIONS: Although system performance remains to be improved for clinical use, expected advances in camera technology as well as consideration of respiratory motion and automation of the individual steps will make this approach an interesting alternative for guiding percutaneous needle insertions.
Entities:
Keywords:
Computer-assisted intervention; Needle insertion; Range imaging; Surface registration; Time of flight
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