Innovative approaches in precision radiation oncology: advanced imaging technologies and challenges which shape the future of radiation therapy. [PDF]
Yan Y +15 more
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Treatment time and learning curve analysis of 1.5 T MR-Linac workflows led by radiation oncologists or therapists. [PDF]
Westerhoff JM +9 more
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Analysis of intra-fractional surface motion during adaptive radiation therapy and relation of internal vs. external position for prostate cancer. [PDF]
Macedo-Jiménez F +7 more
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Enhancing patient-specific deep learning based segmentation for abdominal magnetic resonance imaging-guided radiation therapy: A framework conditioned on prior segmentation. [PDF]
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Prostate motion in magnetic resonance imaging-guided radiotherapy and its impact on margins. [PDF]
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Impact of tumour proximity to organs-at-risk in adaptive MR-guided SBRT for central lung tumours and metastases. [PDF]
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Geometric evaluation of a deep learning method for segmentation of urinary OARs on magnetic resonance imaging for prostate cancer radiotherapy. [PDF]
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Biomedical Physics & Engineering Express, 2020We characterized MRI isocenter variation at various gantry positions in two 0.35 T MRgRT systems using two independent methods. First, image center-based quantification was employed on 3D volumetric and 2D cine images of a 24 cm diameter spherical phantom at various gantry positions in the MRI QA mode. The center of the phantom images was identified to
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