Original paper
Pseudo-CT generation by conditional inference random forest for MRI-based radiotherapy treatment planning
Published: Aug 1, 2017
Abstract
Dose calculation from MRI is a topical issue. New treatment systems combining a linear accelerator with a MRI have been recently being developed. MRI has good soft tissue contrast without ionizing radiation exposure. However, unlike CT, MRI does not provide electron density information necessary for dose calculation. We propose in this paper a machine learning method to simulate a CT from a target MRI and co-registered CT-MRI training set. Ten...
Paper Details
Title
Pseudo-CT generation by conditional inference random forest for MRI-based radiotherapy treatment planning
Published Date
Aug 1, 2017
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