Utility of virtual monoenergetic images from spectral detector computed tomography in improving image segmentation for purposes of 3D printing and modeling.

Elias George KikanoNils Grosse HokampLeslie CiancibelloNikhil RamaiyaChristos KosmasAmit Gupta

Published in: 3D printing in medicine (2019)

Utilization of VMI from SDCT can improve and assist the segmentation of target anatomy for medical 3D printing by enhancing material contrast and decreasing CT artifact.

Keyphrases

dual energy
deep learning
computed tomography
image quality
convolutional neural network
contrast enhanced
positron emission tomography
machine learning
healthcare
magnetic resonance
magnetic resonance imaging
optical coherence tomography
monte carlo