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Article

Generation of Synthetic-Pseudo MR Images from Real CT Images

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Department of Biomedical Systems and Informatics Engineering, Yarmouk University, Irbid 21163, Jordan
2
Department of Biomedical Engineering, Jordan University of Science and Technology, Irbid 22110, Jordan
3
Faculty of Medicine, Jordan University of Science and Technology, King Abdullah University Hospital, Irbid 22110, Jordan
*
Author to whom correspondence should be addressed.
Academic Editor: Emilio Quaia
Tomography 2022, 8(3), 1244-1259; https://doi.org/10.3390/tomography8030103
Received: 19 February 2022 / Revised: 24 April 2022 / Accepted: 25 April 2022 / Published: 3 May 2022
This study aimed to generate synthetic MR images from real CT images. CT# mean and standard deviation of a moving window across every pixel in the reconstructed CT images were mapped to their corresponding tissue-mimicking types. Identification of the tissue enabled remapping it to its corresponding intrinsic parameters: T1, T2, and proton density (ρ). Lastly, synthetic weighted MR images of a selected slice were generated by simulating a spin-echo sequence using the intrinsic parameters and proper contrast parameters (TE and TR). Experiments were performed on a 3D multimodality abdominal phantom and on human knees at different TE and TR parameters to confirm the clinical effectiveness of the approach. Results demonstrated the validity of the approach of generating synthetic MR images at different weightings using only CT images and the three predefined mapping functions. The slope of the fitting line and percentage root-mean-square difference (PRD) between real and synthetic image vector representations were (0.73, 10%), (0.9, 18%), and (0.2, 8.7%) for T1-, T2-, and ρ-weighted images of the phantom, respectively. The slope and PRD for human knee images, on average, were 0.89% and 18.8%, respectively. The generated MR images provide valuable guidance for physicians with regard to deciding whether acquiring real MR images is crucial. View Full-Text
Keywords: synthetic MRI; computed tomography; spin echo synthetic MRI; computed tomography; spin echo
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MDPI and ACS Style

Abu-Qasmieh, I.F.; Masad, I.S.; Al-Quran, H.H.; Alawneh, K.Z. Generation of Synthetic-Pseudo MR Images from Real CT Images. Tomography 2022, 8, 1244-1259. https://doi.org/10.3390/tomography8030103

AMA Style

Abu-Qasmieh IF, Masad IS, Al-Quran HH, Alawneh KZ. Generation of Synthetic-Pseudo MR Images from Real CT Images. Tomography. 2022; 8(3):1244-1259. https://doi.org/10.3390/tomography8030103

Chicago/Turabian Style

Abu-Qasmieh, Isam F., Ihssan S. Masad, Hiam H. Al-Quran, and Khaled Z. Alawneh. 2022. "Generation of Synthetic-Pseudo MR Images from Real CT Images" Tomography 8, no. 3: 1244-1259. https://doi.org/10.3390/tomography8030103

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