Synthetic CT images of temporal, sinonasal and facial bones from MRI
Marlise Daniëlla Van der Veen, Amsterdam / Netherlands
Author Block: M. D. Van der Veen1, T. Van der Velden2, P. R. Seevinck2, J. Kuijer1, B. Schulten1, G. Adriaensen1, T. Goderie1, P. Merkus1, B. Jasperse1; 1Amsterdam/NL, 2Utrecht/NLPurpose: Diagnostic evaluation and surgical planning of the head frequently require visualisation of both soft and bony tissues. Currently, this means a CT and MRI have to be obtained separately and then registered to combine the information from the two images. The objective of this study is to train and evaluate a machine learning algorithm to generate synthetic bone CT images from MRI of the head.Methods or Background: Paired 3T MRI (Philips, Siemens, GE) and CT scans of the head were used to train a vendor agnostic machine learning algorithm to generate synthetic CT images from the MRI data.MRI scans of patients not included in algorithm training were used to create synthetic CT images, which could be compared to their corresponding true CT images. A technical voxelwise comparison between synthetic CT and true CT was performed to quantify morphological and radiodensity accuracy.To clinically evaluate the algorithm, six surgeons and two radiologists will evaluate the visibility of clinically relevant landmarks for three areas (temporal, sinonasal and facial bones) on both synthetic CT and true CT on a 4-point Likert scale.Results or Findings: Voxelwise comparison showed a surface distance error of - 38 ± 0.37 mm for the skull and a mean radiodensity error of 4 ± 44 HU, with a correlation coefficient of 0.79 ± 0.08.
In-depth clinical analysis of the images is currently ongoing and will be presented during the ECR Conclusion: Generating synthetic CT images of the head from MRI is feasible, allowing inherently registered and efficient visualisation of soft and bony tissues using a single, radiation-free imaging modality.Limitations: A limitation of the study is suboptimal blinding during evaluation of the scans, as synthetic CT and true CT can be visually distinguished by experienced physicians.Funding for this study: Funding was provided by Amsterdam UMC, innovation impulse and by the research institute Amsterdam Public Health, within their programme Quality of Care.Has your study been approved by an ethics committee? YesEthics committee - additional information: The study was approved by the institutional review board of Amsterdam UMC, location VUMC (study number: - 0234). Written informed consent was obtained from all participants.