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Deep-Learning-Based Generation of Synthetic High-Resolution MRI from Low-Resolution MRI for Use in Head and Neck Cancer Adaptive Radiotherapy

2022-06-21

Abstract excerpt

<h4>Background</h4> Quick, low contrast resolution magnetic resonance imaging (MRI) scans are typically acquired for daily MRI-guided radiotherapy setup. However, for patients with head and neck (HN) cancer, these images are often insufficient for discriminating target volumes and organs at risk (OARs). In this study, we investigated a deep learning (DL) approach to generate high-resolution synthetic images from l...

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Literature Corpus work
1dd9e665-2378-56ad-9a38-357ff8be4ef7
DOI
10.1101/2022.06.19.22276611
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Deep-Learning-Based Generation of Synthetic High-Resolution MRI from Low-Resolution MRI for Use in Head and Neck Cancer Adaptive RadiotherapyDOI 10.1101/2022.06.19.22276611
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