ArticleQuantitative imaging in medicine and surgery2019
A pilot study of highly accelerated 3D MRI in the head and neck position verification for MR-guided radiotherapy.
Article in Quantitative imaging in medicine and surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Beyond Couch Correction in Head and Neck Radiotherapy: A Narrative Review of Action-Oriented Positioning Management.Cancers · 2026Review
- Acquisition repeatability of MRI radiomics features in the head and neck: a dual-3D-sequence multi-scan study.Visual computing for industry, biomedicine, and art · 2022Article
- A review of deep learning-based three-dimensional medical image registration methods.Quantitative imaging in medicine and surgery · 2021Review
- Patient positioning and immobilization procedures for hybrid MR-Linac systems.Radiation oncology (London, England) · 2021Review
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Authors and funding
5 authors.
Funding
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Abstract
backgroundTo evaluate the performance of a highly accelerated 3D MRI on inter-fractional positional measurement for MR-guided radiotherapy (MRgRT) in the head and neck (HN).
methodsFourteen healthy volunteers received 159 scans on a 1.5 T MR-sim to simulate MRgRT fractions. MRI acquisition included a high-resolution (HQI-MRI, voxel-size =1.05×1.05×1.05 mm
resultsThe calculated SD of systematic errors (Σ) from HQI-MRI/pseudo-LQI-MRI/true-LQI-MRI images for overall HN were 1.11/1.14/1.08, 0.28/0.26/0.29, 0.43/0.44/0.60, and 0.77/0.79/0.74 mm for translation in LR, AP, SI and 3D, respectively; The corresponding RMS of random errors (σ) were 0.97/0.98/0.96, 0.28/0.27/0.26, 0.77/0.77/0.72, and 0.85/0.87/0.85 mm. For all sub-regions, brain showed the smallest Σ and σ in 3D. Other sub-regions showed direction-dependent error patterns, but the positioning results were consistent, independent of the datasets used for registration.
conclusionsA highly-accelerated 3D-MRI could be used for MR-guided HN radiotherapy without compromising position verification accuracy.
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