Toward Closing the Loop in Image-to-Image Conversion in Radiotherapy: A Quality Control Tool to Predict Synthetic Computed Tomography Hounsfield Unit Accuracy

In recent years, synthetic Computed Tomography (CT) images generated from Magnetic Resonance (MR) or Cone Beam Computed Tomography (CBCT) acquisitions have been shown to be comparable to real CT images in terms of dose computation for radiotherapy simulation. However, until now, there has been no in...

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Hlavní autoři:	Paolo Zaffino, Ciro Benito Raggio, Adrian Thummerer, Gabriel Guterres Marmitt, Johannes Albertus Langendijk, Anna Procopio, Carlo Cosentino, Joao Seco, Antje Christin Knopf, Stefan Both, Maria Francesca Spadea
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2024-12-01
Edice:	Journal of Imaging
Témata:	synthetic CT conversion prediction MR-only adaptive radiotherapy deep learning
On-line přístup:	https://www.mdpi.com/2313-433X/10/12/316
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