@inproceedings{a575106c6fa449018788eecc717a0dd6,
title = "A supervoxel based random forest synthesis framework for bidirectional MR/CT synthesis",
abstract = "Synthesizing magnetic resonance (MR) and computed tomography (CT) images (from each other) has important implications for clinical neuroimaging. The MR to CT direction is critical for MRI-based radiotherapy planning and dose computation, whereas the CT to MR direction can provide an economic alternative to real MRI for image processing tasks. Additionally, synthesis in both directions can enhance MR/CT multi-modal image registration. Existing approaches have focused on synthesizing CT from MR. In this paper, we propose a multi-atlas based hybrid method to synthesize T1-weighted MR images from CT and CT images from T1-weighted MR images using a common framework. The task is carried out by: (a) computing a label field based on supervoxels for the subject image using joint label fusion; (b) correcting this result using a random forest classifier (RF-C); (c) spatial smoothing using a Markov random field; (d) synthesizing intensities using a set of RF regressors, one trained for each label. The algorithm is evaluated using a set of six registered CT and MR image pairs of the whole head.",
keywords = "CT, JLF, MR, MRF, Random forest, Segmentation, Synthesis",
author = "Can Zhao and Aaron Carass and Junghoon Lee and Amod Jog and Prince, {Jerry L.}",
note = "Funding Information: This work was supported by NIH/NIBIB grant R01-EB017743. Publisher Copyright: {\textcopyright} 2017, Springer International Publishing AG.; 2nd International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2017 Held in Conjunction with the 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017 ; Conference date: 10-09-2017 Through 10-09-2017",
year = "2017",
doi = "10.1007/978-3-319-68127-6_4",
language = "English (US)",
isbn = "9783319681269",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "33--40",
editor = "Ali Gooya and Frangi, {Alejandro F.} and Tsaftaris, {Sotirios A.} and Prince, {Jerry L.}",
booktitle = "Simulation and Synthesis in Medical Imaging - 2nd International Workshop, SASHIMI 2017, Held in Conjunction with MICCAI 2017, Proceedings",
}