Abstract
With development of fast imaging techniques and powerful motion correcting reconstruction techniques, high resolution 3D fetal brain images with a high level of anatomical detail are possible to acquire. A quantitative framework has been proposed that leverages fast imaging techniques and motion correcting reconstruction techniques to build quantitative T2 maps of the fetal brain. This study proposes a simulated phantom that modifies the FaBiaN fetal MRI simulated phantom to enable validation of this quantitative framework. We found that the slice-to-volume reconstruction (SVR) algorithm preserves quantitative T2 measurements and, therefore the proposed pipeline is suitable for reconstruction of quantitative T2 maps of fetal brain tissue.
S. J. Malik and M. Deprez—Contributed equally.
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Acknowledgements
This work was supported by the funding from the EPSRC Centre for Doctoral Training in Smart Medical Imaging (EP/S022104/1), the core funding from the Wellcome/EPSRC Centre for Medical Engineering [WT203148/Z/16/Z] and by the National Institute for Health Research Clinical Research Facility. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health and Social Care.
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Bhattacharya, S. et al. (2023). Quantitative T2 Relaxometry in Fetal Brain: Validation Using Modified FaBiaN Fetal Brain MRI Simulator. In: Link-Sourani, D., Abaci Turk, E., Macgowan, C., Hutter, J., Melbourne, A., Licandro, R. (eds) Perinatal, Preterm and Paediatric Image Analysis. PIPPI 2023. Lecture Notes in Computer Science, vol 14246. Springer, Cham. https://doi.org/10.1007/978-3-031-45544-5_4
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