Augmented Reality Navigation System for Robot-Assisted Laparoscopic Partial Nephrectomy
| Autor: | Jin Kono, Atsushi Sengiku, Hiroshi Noborio, Toshinari Yamasaki, Atsuro Sawada, Katsuhiko Onishi, Osamu Ogawa, Kiminori Mizushino, Masanao Koeda, Naoki Terada, Takahiro Kunii |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
business.industry
Orientation (computer vision) Computer science medicine.medical_treatment ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 030232 urology & nephrology Optical flow Navigation system Nephrectomy Computer graphics 03 medical and health sciences 0302 clinical medicine 030220 oncology & carcinogenesis medicine Robot Augmented reality Computer vision Robotic surgery Artificial intelligence business |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783319586366 HCI (19) |
| DOI: | 10.1007/978-3-319-58637-3_45 |
| Popis: | We have developed a surgical navigation system for robot-assisted laparoscopic partial nephrectomy (RALPN). In this system, a three-dimensional computer graphics (3DCG) model generated from each patient’s computed tomography image is overlaid on the endoscopic image, and we control it manually to navigate the vascular structure and tumor location in real time. The position and orientation of the 3DCG model is calculated from the optical flow of the endoscopic camera images, which enables the model to move semi-automatically. We conducted 20 navigations for RALPN from April 2014 to December 2016. Our support system worked appropriately and was helpful to localize the tumor and determine the resection line. |
| Databáze: | OpenAIRE |
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