Moving object tracking in clinical scenarios: application to cardiac surgery and cerebral aneurysm clipping

Abstract

Surgical procedures such as laparoscopic and robotic surgeries are popular since they are invasive in nature and use miniaturized surgical instruments for small incisions. Tracking of the instruments (graspers, needle drivers) and field of view from the stereoscopic camera during surgery could further help the surgeons to remain focussed and reduce the probability of committing any mistakes. Tracking is usually preferred in computerized video surveillance, traffic monitoring, military surveillance system, and vehicle navigation. Despite the numerous efforts over the last few years, object tracking still remains an open research problem, mainly due to motion blur, image noise, lack of image texture, and occlusion. Most of the existing object tracking methods are time-consuming and less accurate when the input video contains high volume of information and more number of instruments.

Description

open access article

Keywords

Cerebral aneurysm, Segmentation, Object tracking, Heart surgery, Brain aneurysm clipping, Level sets

Citation

Dakua, S.P., Abinahed, J., Zakaria, A., Balakrishnan, S., Younes, G., Navkar, N., Al-Ansari, A., Zhai, X., Bensaali, F., Amira, A. (2019) Moving object tracking in clinical scenarios: application to cardiac surgery and cerebral aneurysm clipping. International Journal of Computer Assisted Radiology and Surgery,

Rights

Research Institute

Institute of Artificial Intelligence (IAI)