Abstract #3792

CT synthesis for MR-only brain radiotherapy treatment planning using convolutional neural networks

Anna M. Dinkla¹, Jelmer M. Wolterink², Matteo Maspero¹, Mark H.F. Savenije¹, Joost J.C. Verhoeff¹, Ivana Isgum², Peter R. Seevinck², Jan J.W. Lagendijk¹, and Cornelis A.T. van den Berg¹

¹Radiation Oncology, UMC Utrecht, Utrecht, Netherlands, ²Image Sciences Institute, UMC Utrecht, Utrecht, Netherlands

In MR-only radiotherapy, a synthetic CT (sCT) needs to be generated from MR to allow radiation dose planning without CT acquisition. We aim for such an MR-only workflow to decrease radiotherapy preparation time. If we can plan and deliver the dose in a single day, in a ‘one stop shop’ procedure, we prevent treatment delay which is of high importance for patients with fast growing brain metastases. In this study sCTs of the head were generated in a short amount of time, that highly resemble the original CTs and that enable accurate dose calculation.

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