A semi-automatic seed point-based method for separation of individual vertebrae in 3D surface meshes: a proof of principle study.

Peter A J PijpkerTim S OosterhuisMax J H WitjesChris FaberPeter M A van OoijenJiří KosinkaJos M A KuijlenRob J M GroenJoep Kraeima

Published in: International journal of computer assisted radiology and surgery (2021)

A novel seed point initiated surface based segmentation method for the laborious individual human vertebrae separation was presented. This proof-of-principle study demonstrated the accuracy of the proposed method on a clinical CT image dataset and its feasibility for spinal virtual surgical planning applications.

Keyphrases

deep learning
computed tomography
machine learning
spinal cord
spinal cord injury
convolutional neural network
liquid chromatography
positron emission tomography
image quality