The successful collaboration with the Politecnico di Torino and the valuable support offered by doctors and medical physicists at various reference centers, have enabled Tecnologie Avanzate to develop a system based on Deep Learning algorithms that can synthesize CT-like images from both CBCT and MRI images. The algorithms implement a Generative Adversarial Network (GAN) Deep Learning network to create a target image from an input image. This algorithm can interpret CBCT and T2 MRI images and convert them into a new dataset, exportable in DICOM format, in just a few seconds. The innovation of this method lies in its independence from the reference CT.
The developed algorithms are available on the iTA Data platform.
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