Meeting Banner
Abstract #0866

Synthetic CT generation from T2 weighted MRI using a hybrid regression and multi-atlas approach

S. Ghose 1 , D. Rivest Henault 1 , J. Mitra 1 , J. Sun 2 , P. Pichler 3 , P. Greer 3 , and J. Dowling 4

1 Australian e-Health Research Centre, CSIRO Digital Productivity Flagship, Herston, QLD, Australia, 2 University of Newcastle, NSW, Australia, 3 Department of Radiation Oncology, University of Newcastle, NSW, Australia, 4 Australian e-Health Research Centre, CSIRO Digital Productivity Flagship, QLD, Australia

In this work, we propose to use a hybrid atlas and regression-based method to generate synthetic CT images from MRI for MRI based radiation therapy planning for prostate cancer treatment. Compared to a pure regression-based method, an additional UTE sequence is not required to segment the bone, and in comparison to a pure atlas-based method, we use regression-based soft tissue modeling, producing better soft tissue estimation. The proposed hybrid approach achieves a 0.6% dose difference compared to the use of original CT in the dose plan.

This abstract and the presentation materials are available to members only; a login is required.

Join Here