A particle filter approach to dynamic kidney pose estimation in robotic surgical exposure.

Michael A Kokko Douglas W Van CittersJohn D SeigneRyan J Halter

Published in: International journal of computer assisted radiology and surgery (2022)

This proof-of-concept simulation study suggests that Bayesian state estimation may provide a viable pathway to image guidance for surgical exposure in the abdomen, especially in the presence of dynamic intraoperative tissue displacement and deformation.

Keyphrases

deep learning
minimally invasive
patients undergoing
machine learning