3DCT reconstruction from single X-ray projection using Deep Learning

Loyen, Estelle;et.al.
(2022) European Society Radiation Oncology (ESTRO) — Location: Copenhagen (6.May.2022)

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Abstract
The treatment of abdominal or thorax tumor is challenging in particle therapy because the respiratory motion induces a movement of the tumor. One current option to follow the breathing motion is to regularly acquire one (or two) X-ray projection(s) during the treatment, which does not give the full 3D anatomy. The purpose of this work is then to reconstruct a 3DCT image based on a single X-ray projection using a neural network.
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Loyen, E., & et al. (2022). 3DCT reconstruction from single X-ray projection using Deep Learning. Radiotherapy & Oncology, 170(1), S171-S172. https://doi.org/10.1016/S0167-8140(22)02317-9 (Original work published 2022)