A comparative analysis of intensity-based 2D-3D registration for intraoperative use in pedicle screw insertion surgeries.

Hooman EsfandiariCarolyn AnglinPierre GuyJohn StreetSimon WeidertAntony J Hodgson

Published in: International journal of computer assisted radiology and surgery (2019)

This paper assessed capture range of a number of variants of intensity-based 2D-3D registration algorithms in clinically realistic situations (for the use in pedicle screw insertion surgery). We conclude that a registration approach based on the gradient correlation similarity and the Powell's optimization algorithm, using a minimum of two C-arm images, is likely sufficiently robust for the proposed application.

Keyphrases

deep learning
machine learning
high intensity
minimally invasive
coronary artery bypass
convolutional neural network
copy number
patients undergoing
optical coherence tomography
coronary artery disease
acute coronary syndrome
percutaneous coronary intervention