Dataset Information

Hybrid electromagnetic-ArUco tracking of laparoscopic ultrasound transducer in laparoscopic video.

ABSTRACT: Purpose: The purpose of this work was to develop a new method of tracking a laparoscopic ultrasound (LUS) transducer in laparoscopic video by combining the hardware [e.g., electromagnetic (EM)] and the computer vision-based (e.g., ArUco) tracking methods. Approach: We developed a special tracking mount for the imaging tip of the LUS transducer. The mount incorporated an EM sensor and an ArUco pattern registered to it. The hybrid method used ArUco tracking for ArUco-success frames (i.e., frames where ArUco succeeds in detecting the pattern) and used corrected EM tracking for the ArUco-failure frames. The corrected EM tracking result was obtained by applying correction matrices to the original EM tracking result. The correction matrices were calculated in previous ArUco-success frames by comparing the ArUco result and the original EM tracking result. Results: We performed phantom and animal studies to evaluate the performance of our hybrid tracking method. The corrected EM tracking results showed significant improvements over the original EM tracking results. In the animal study, 59.2% frames were ArUco-success frames. For the ArUco-failure frames, mean reprojection errors for the original EM tracking method and for the corrected EM tracking method were 30.8 pixel and 10.3 pixel, respectively. Conclusions: The new hybrid method is more reliable than using ArUco tracking alone and more accurate and practical than using EM tracking alone for tracking the LUS transducer in the laparoscope camera image. The proposed method has the potential to significantly improve tracking performance for LUS-based augmented reality applications.

SUBMITTER: Liu X

PROVIDER: S-EPMC7857492 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:Background:Postoperative communicating hydrocephalus has been described in the literature commonly associated with treatment of ruptured intracranial aneurysms; however, it is also reported to occur following other intracranial interventions such as meningioma resection and decompressive hemicraniectomy. In 2011, Burkhardt et al. reported the incidence of postoperative hydrocephalus following skull base meningioma resection was twice as high as resection of meningiomas in other regions.[1] They found that age and increased length of surgery were associated with higher rates of postoperative hydrocephalus. Our patient, a 76-year-old man, initially presented with the left-hand paresthesias and numbness before the revelation of a large sphenoid planum meningioma on workup imaging. He underwent surgical resection due to developing cranial nerve deficits and personality changes in an extensive procedure that required approximately 8 h to complete. His postoperative course, given the factors above, included the development of hydrocephalus. Case Description:He was taken to the operating room for ventriculoperitoneal shunt placement, as displayed in this video case report, which highlights our surgical and sterile techniques, intraoperative ultrasound to ensure appropriate ventricular placement, and a single-port laparoscopic technique for direct visualization of placement of the abdominal catheter. After shunt placement, his course was complicated by a small tract hemorrhage, which resolved without further treatment. He was observed to have an improvement in mental function that occurred over the following 2-3 days before being discharged to an outpatient rehabilitation facility for continued care. Conclusion:Ventriculoperitoneal shunt placement is an effective and safe procedure for the treatment of postoperative communicating hydrocephalus when performed with appropriate techniques as displayed in the associated video case report. The patient gave informed consent for surgery and video recording. Institutional Review Board approval was deemed unnecessary.

Dataset Information

Hybrid electromagnetic-ArUco tracking of laparoscopic ultrasound transducer in laparoscopic video.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets