Cited by Implementation of a retrofit MRI simulator for radiation therapy planning

Accelerating 4D image reconstruction for magnetic resonance-guided radiotherapy DOI

Bastien Lecoeur, Marco Barbone, Jessica Gough

et al.

Physics and Imaging in Radiation Oncology, Journal Year: 2023, Volume and Issue: 27, P. 100484 - 100484

Published: July 1, 2023

Background and Purpose Physiological motion impacts the dose delivered to tumours vital organs in external beam radiotherapy particularly particle therapy. The excellent soft-tissue demarcation of 4D magnetic resonance imaging (4D-MRI) could inform on intra-fractional motion, but long image reconstruction times hinder its use online treatment adaptation. Here we employ techniques from high-performance computing reduce 4D-MRI below two minutes facilitate their MR-guided radiotherapy.Material Methods Four patients with pancreatic adenocarcinoma were scanned a radial stack-of-stars gradient echo sequence 1.5T MR-Linac. Fast parallelised open-source implementations extra-dimensional golden-angle sparse parallel algorithm developed for central processing unit (CPU) graphics (GPU) architectures. We assessed impact architecture, oversampling respiratory binning strategy time compared images using structural similarity (SSIM) index against MATLAB reference implementation. Scaling bottlenecks different architectures studied multi-GPU systems.Results All reconstructed identical implementation (SSIM > 0.99). Images overlapping bins sharper at cost longer times. CPU + GPU was over 17 faster than implementation, reconstructing 60 ± 1 seconds hyper-scaled multiple GPUs.Conclusion Respiratory-resolved can be reduced methods workflows potential applications

Language: Английский

Citations

The Future of MR-Guided Radiation Therapy DOI

Matthias Gückenberger, Nicolaus Andratschke, Caroline Chung

et al.

Seminars in Radiation Oncology, Journal Year: 2023, Volume and Issue: 34(1), P. 135 - 144

Published: Dec. 15, 2023

Magnetic resonance image guided radiation therapy (MRIgRT) is a relatively new technology that has already shown outcomes benefits but not yet reached its clinical potential. The improved soft-tissue contrast provided with MR, coupled the immediacy of acquisition respect to treatment, enables expansion on-table adaptive protocols, currently at cost increased treatment complexity, use human resources, and longer slot times, which translate decreased throughput. Many approaches are being investigated meet these challenges, including development artificial intelligence (AI) algorithms accelerate automate much workflow parallelizes tasks, as well improvements in speed quality. This article summarizes limitations current available integrated MRIgRT systems gives an outlook about scientific developments further expand MRIgRT.

Language: Английский

Citations

The current and future role of the MRI radiographer in radiation oncology: A collaborative, experiential reflection on the Australian rollout of dedicated MRI simulators DOI

Glenn Cahoon, Kate Skehan,

Doaa Elwadia

et al.

Journal of Medical Radiation Sciences, Journal Year: 2023, Volume and Issue: 70(S2), P. 107 - 113

Published: Jan. 5, 2023

Abstract Magnetic Resonance Imaging (MRI) has proven value in radiotherapy treatment planning (RTP). MRI provides excellent soft tissue contrast, and improves lesion detection, definition extent, allowing for increased conformal treatment. Recent installation of dedicated simulators MRI‐guided linear accelerators (MR Linacs) within radiation oncology departments led to a sudden rapid expansion the scope practice many therapists radiographers. The lack current recommendations, guidelines credentialing both radiographers working these atypical environments poses significant challenge education training staff, safe operation units. This commentary discusses pathways entering emerging field oncology, future role radiographer addressing unique issues found non‐standard environments. authors draw on their collective experience as assisting rollout across Australia reflect need close collaboration between radiographers, respective departments. There is also critical professional bodies play supporting existing roles recognising advanced practitioner practice.

Language: Английский

Citations

Evaluating the Hounsfield unit assignment and dose differences between CT‐based standard and deep learning‐based synthetic CT images for MRI‐only radiation therapy of the head and neck DOI

Kamal Singhrao, Catherine Lu Dugan,

Christina Calvin

et al.

Journal of Applied Clinical Medical Physics, Journal Year: 2023, Volume and Issue: 25(1)

Published: Dec. 21, 2023

Abstract Background Magnetic resonance image only (MRI‐only) simulation for head and neck (H&N) radiotherapy (RT) could allow single‐image modality planning with excellent soft tissue contrast. In the MRI‐only workflow, synthetic computed tomography (sCT) is generated from MRI to provide electron density information dose calculation. Bone/air regions produce little signal which lead misclassification in sCT. Establishing dosimetric impact of this error inform quality assurance (QA) procedures using RT or compensatory methods accurate Purpose The aim study was investigate if Hounsfield unit (HU) voxel misassignments sCT images result errors clinical treatment plans. Methods Fourteen H&N cancer patients undergoing same‐day CT 3T were retrospectively identified. deformed multimodal deformable registration. sCTs T1w DIXON MRIs a commercially available deep learning‐based generator (MRIplanner, Spectronic Medical AB, Helsingborg, Sweden). Tissue assignment quantified by creating CT‐derived HU threshold contour. CT/sCT differences anatomical/target contours classification including air (<250 HU), adipose (–250 –51 (–50 199 spongy (200 499 HU) cortical bone (>500 quantified. t‐test used determine sCT/CT significant. frequency structures that had difference > 80 (the window‐width setting intra‐cranial structures) establish structure accuracy. Clinical intensity modulated radiation therapy (IMRT) plans created on recalculated compared gamma metric. Results mean ratio HUs relative air, tissue, 1.7 ± 0.3, 1.1 0.1, 1.0 0.9 0.1 0.8 (value 1 indicates perfect agreement). T‐tests (significance set at t = 0.05) identified values CT. note left right (L/R) cochlea mandible (>79% tested cohort), oral cavity (for 57% epiglottis 43% cohort) L/R TM joints (occurring 29% cohort). case joints, these contain dense bone/air interfaces. mandible, suffer additional challenge being positionally altered versus (due non‐MR safe immobilizing bite block requiring absence MR). Finally, suffers its small size unstable positionality. Plans yielded global/local pass rates 95.5% 2% (3 mm, 3%) 92.7% 2.1% (2 2%). largest D95, D , D50 volume histogram (DVH) metrics organ‐at‐risk (OAR) tumor volumes (PTVs) 2.3% 3.0% 0.7% 1.9% respectively. Conclusions cohort, observed but did not translate into reduction average PTV/OAR greater than 3%. For sites such as where there are many interfaces we observe large scale deviations further studies larger retrospective cohorts merited variation accuracy help QA limits usage.

Language: Английский

Citations

Challenges for the Implementation of Primary Standard Dosimetry in Proton Minibeam Radiation Therapy DOI

J.A. COTTERILL, Samuel Flynn, Russell Thomas

et al.

Cancers, Journal Year: 2024, Volume and Issue: 16(23), P. 4013 - 4013

Published: Nov. 29, 2024

: Spatial fractionation of proton fields as sub-millimeter beamlets to treat cancer has shown better sparing healthy tissue whilst maintaining the same tumor control. It is critical ensure primary standard dosimetry accurate and ready support modality's clinical implementation.

Language: Английский

Citations

Free‐breathing time‐resolved 4D MRI with improved T1‐weighting contrast DOI

Jingjia Chen, Ding Xia, Chenchan Huang

et al.

NMR in Biomedicine, Journal Year: 2024, Volume and Issue: 37(12)

Published: Aug. 26, 2024

Abstract This work proposes MP‐Grasp4D (magnetization‐prepared golden‐angle radial sparse parallel 4D) MRI, a free‐breathing, inversion recovery (IR)‐prepared, time‐resolved 4D MRI technique with improved T1‐weighted contrast. acquisition incorporates IR preparation into gradient echo sequence. employs navi‐stack‐of‐stars sampling scheme, where imaging data of rotating stacks and navigator (acquired at consistent rotation angle) are alternately acquired. The used to estimate temporal basis for low‐rank subspace‐constrained reconstruction. allows the simultaneous capture both IR‐induced contrast changes respiratory motion. One frame volume in is reconstructed from single stack an adjacent on average, resulting nominal resolution 0.16 seconds per volume. Images corresponding optimal time (TI) can be retrospectively selected providing best image Reader studies were conducted assess performance liver across 30 subjects comparison standard Grasp4D without preparation. received significantly higher scores ( P < 0.05) than all assessment categories. There was moderate almost perfect agreement (kappa coefficient 0.42 0.9) between two readers quality assessment. When scan reduced, preserves quality, demonstrating additional acceleration capability. improves free‐breathing eliminates need explicit motion compensation. method expected valuable different applications such as MR‐guided radiotherapy.

Language: Английский

Citations

Enhancing Delivery Efficiency on the MR-Linac: A Comprehensive Evaluation of Prostate SBRT using VMAT DOI

J. E. Snyder, Martin F. Fast,

Prescilla Uijtewaal

et al.

International Journal of Radiation Oncology*Biology*Physics, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 1, 2024

Language: Английский

Citations

Advances in and applications of imaging and radiomics in head and neck cancer survivorship DOI

Laurelie R. Wishart, Elizabeth C. Ward, Graham J. Galloway

et al.

Current Opinion in Otolaryngology & Head & Neck Surgery, Journal Year: 2023, Volume and Issue: 31(6), P. 368 - 373

Published: Aug. 4, 2023

Purpose of Review Radiological imaging is an essential component head/neck cancer (HNC) care. Advances in modalities (including CT, PET, MRI and ultrasound) analysis have enhanced our understanding tumour characteristics prognosis. However, the application these methods to evaluate treatment-related toxicities functional burden still emerging. This review showcases recent literature applying advanced radiomics assessment management sequelae following chemoradiotherapy for HNC. Recent findings Whilst primarily early-stage/exploratory studies, investigations showcased feasibility using radiological imaging, particularly advanced/functional diffusion-weighted dynamic contrast-enhanced MRI), quantify treatment-induced tissue change musculature, clinical manifestation lymphoedema/fibrosis dysphagia. Advanced feature radiomic studies also begun give specific focus prediction endpoints, including dysphagia, trismus fibrosis. Summary There demonstrated potential use novel techniques, help better understand pathophysiology, improve treatment deficits HNC treatment. As larger emerge, technologies continue progress, pathways translation are honed, offers exciting opportunity transform practices outcomes survivors.

Language: Английский

Citations

sCT and Dose Calculation DOI

Emilie Alvarez-Andres,

Fernanda Villegas,

A. Barateau

et al.

Springer eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 89 - 121

Published: Jan. 1, 2024

Language: Английский

Citations

Perspectives for using artificial intelligence techniques in radiation therapy DOI

Guillaume Landry,

Christopher Kurz,

Adrian Thummerer

et al.

The European Physical Journal Plus, Journal Year: 2024, Volume and Issue: 139(10)

Published: Oct. 9, 2024

Language: Английский

Citations