ArticleMedical & biological engineering & computing2017
A tool for validating MRI-guided strategies: a digital breathing CT/MRI phantom of the abdominal site.
Article in Medical & biological engineering & computing, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed.
- Generation of multimodal realistic computational phantoms as a test-bed for validating deep learning-based cross-modality synthesis techniques.Medical & biological engineering & computing · 2026Article
- An open-source deep learning framework for respiratory motion monitoring and volumetric imaging during radiation therapy.Medical physics · 2025Article
- 3D deuterium metabolic imaging (DMI) of the human liver at 7 T using low-rank and subspace model-based reconstruction.Magnetic resonance in medicine · 2025Article
- A synthetic lung model (ASYLUM) for validation of functional lung imaging methods shows significant differences between signal-based and deformation-field-based ventilation measurements.Frontiers in medicine · 2024Article
- Real-time radial reconstruction with domain transform manifold learning for MRI-guided radiotherapy.Medical physics · 2023Article
- Synthetic CT in Carbon Ion Radiotherapy of the Abdominal Site.Bioengineering (Basel, Switzerland) · 2023Article
- Time-resolved MRI for off-line treatment robustness evaluation in carbon-ion radiotherapy of pancreatic cancer.Medical physics · 2022Article
- Abdominal motion tracking with free-breathing XD-GRASP acquisitions using spatio-temporal geodesic trajectories.Medical & biological engineering & computing · 2022Article
- Investigating the use of virtual 4DCT from 4DMRI in gated carbon ion radiation therapy of abdominal tumors.Zeitschrift fur medizinische Physik · 2022Article
- Dosimetric impact of geometric distortions in an MRI-only proton therapy workflow for lung, liver and pancreas.Zeitschrift fur medizinische Physik · 2022Article
- Real-time 3D motion estimation from undersampled MRI using multi-resolution neural networks.Medical physics · 2021Article
- NO-HYPE: a novel hydrodynamic phantom for the evaluation of MRI flow measurements.Medical & biological engineering & computing · 2021Article
- Generation of annotated multimodal ground truth datasets for abdominal medical image registration.International journal of computer assisted radiology and surgery · 2021Article
- An MRI framework for respiratory motion modelling validation.Journal of medical imaging and radiation oncology · 2021Article
- Artificial intelligence in radiotherapy: a technological review.Frontiers of medicine · 2020Review
- Computer-Aided Design and Manufacturing (CAD/CAM) for Bioprinting.Methods in molecular biology (Clifton, N.J.) · 2020Article
- Real-time intrafraction motion monitoring in external beam radiotherapy.Physics in medicine and biology · 2019Review
- Development of a Computerized 4-D MRI Phantom for Liver Motion Study.Technology in cancer research & treatment · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dynamic magnetic resonance imaging (MRI) is emerging as the elected image modality for organ motion quantification and management in image-guided radiotherapy. However, the lack of validation tools is an open issue for image guidance in the abdominal and thoracic organs affected by organ motion due to respiration. We therefore present an abdominal four-dimensional (4D) CT/MRI digital phantom, including the estimation of MR tissue parameters, simulation of dedicated abdominal MR sequences, modeling of radiofrequency coil response and noise, followed by k-space sampling and image reconstruction. The phantom allows the realistic simulation of images generated by MR pulse sequences with control of scan and tissue parameters, combined with co-registered CT images. In order to demonstrate the potential of the phantom in a clinical scenario, we describe the validation of a virtual T1-weighted 4D MRI strategy. Specifically, the motion extracted from a T2-weighted 4D MRI is used to warp a T1-weighted breath-hold acquisition, with the aim of overcoming trade-offs that limit T1-weighted acquisitions. Such an application shows the applicability of the digital CT/MRI phantom as a validation tool, which should be especially useful for cases unsuited to obtain real imaging data.
Indexed as
Identifiers
28390002What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.