@inproceedings{38762a74df57499487ec305fa1ad295d,
title = "Multi-atlas-based CT synthesis from conventional MRI with patch-based refinement for MRI-based radiotherapy planning",
abstract = "Accurate CT synthesis, sometimes called electron density estimation, from MRI is crucial for successful MRI-based radiotherapy planning and dose computation. Existing CT synthesis methods are able to synthesize normal tissues but are unable to accurately synthesize abnormal tissues (i.e., tumor), thus providing a suboptimal solution. We propose a multiatlas- based hybrid synthesis approach that combines multi-atlas registration and patch-based synthesis to accurately synthesize both normal and abnormal tissues. Multi-parametric atlas MR images are registered to the target MR images by multi-channel deformable registration, from which the atlas CT images are deformed and fused by locally-weighted averaging using a structural similarity measure (SSIM). Synthetic MR images are also computed from the registered atlas MRIs by using the same weights used for the CT synthesis; these are compared to the target patient MRIs allowing for the assessment of the CT synthesis fidelity. Poor synthesis regions are automatically detected based on the fidelity measure and refined by a patch-based synthesis. The proposed approach was tested on brain cancer patient data, and showed a noticeable improvement for the tumor region.",
keywords = "CT synthesis, MRI-based radiotherapy planning, Multi-atlas registration, Multichannel registration, Patch-based synthesis",
author = "Junghoon Lee and Aaron Carass and Amod Jog and Can Zhao and Prince, {Jerry L.}",
note = "Publisher Copyright: {\textcopyright} 2017 SPIE. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; Medical Imaging 2017: Image Processing ; Conference date: 12-02-2017 Through 14-02-2017",
year = "2017",
doi = "10.1117/12.2254571",
language = "English (US)",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Angelini, {Elsa D.} and Styner, {Martin A.} and Angelini, {Elsa D.}",
booktitle = "Medical Imaging 2017",
}