Artificial intelligence to generate synthetic CT for adaptive particle therapy

Adrian Thummerer; Paolo Zaffino; Maria Francesca Spadea; Antje C Knopf; M Maspero

doi:10.1088/978-0-7503-5117-1ch8

Artificial intelligence to generate synthetic CT for adaptive particle therapy

Adrian Thummerer, Paolo Zaffino, Maria Francesca Spadea, Antje C Knopf, M Maspero

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic

Abstract

Recently, Artificial Intelligence (AI) methods for the generation of synthetic computed tomography (sCT) have received significant research attention as an alternative to classical ones (e.g. bulk density assignment, atlas based virtual CT). We present here an overview of these methods for particle therapy (PT) applications, including strategies to replace CT in magnetic resonance imaging (MRI)-based treatment planning and to facilitate cone beam CT (CBCT)-based image-guided adaptive PT.

Original language	English
Title of host publication	Imaging in Particle Therapy
Subtitle of host publication	Current practice and future trends
Publisher	IOP Publishing Ltd.
Chapter	8
Pages	8
Number of pages	1
ISBN (Electronic)	9780750351195
ISBN (Print)	9780750351157
DOIs	https://doi.org/10.1088/978-0-7503-5117-1ch8
Publication status	Published - Jul 2024

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Artificial intelligence to generate synthetic CT for adaptive particle therapy

Abstract

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