ReviewPhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2021
Physics-based reconstruction methods for magnetic resonance imaging.
Review in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 27 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
27 citing papers in PubMed.
- Feasibility and SNR Performance of HyperpolarizedMagnetic resonance in medicine · 2026Article
- Simultaneous TMagnetic resonance in medicine · 2026Article
- Article
- Single-Shot 2D Radial Echo Planar Imaging for Functional MRI.Magnetic resonance in medicine · 2026Article
- A Magnetic Resonance Fingerprinting Approach for SimultaneousMagnetic resonance in medicine · 2026Article
- Water/Fat Separated Echo Planar Time-Resolved Imaging (WFS-EPTI) for Distortion-Free Multi-Contrast MRI.Magnetic resonance in medicine · 2026Article
- Phase-Pole-Free Images and Smooth Coil Sensitivity Maps by Regularized Nonlinear Inversion.Magnetic resonance in medicine · 2026Article
- Dynamic Transitions for Fast Joint Acquisition and Reconstruction of CEST-Magnetic resonance in medicine · 2026Article
- Compressed sensing acceleration of radial 3-D alternating Look-LockerMagnetic resonance in medicine · 2025Article
- Rapid, high-resolution and distortion-freeMagnetic resonance in medicine · 2025Article
- Rapid, High-resolution and Distortion-freeArXiv · 2025Article
- Fundamental effects of array density and modulation frequency on image quality of diffuse optical tomography.Medical physics · 2025Article
- Color-map recommendation for MR relaxometry maps.Magnetic resonance in medicine · 2025Article
- Accelerated model-based T1, T2* and proton density mapping using a Bayesian approach with automatic hyperparameter estimation.Magnetic resonance in medicine · 2025Article
- Self-supervised learning for improved calibrationless radial MRI with NLINV-Net.Magnetic resonance in medicine · 2024Article
- Efficient standardization of clinical TMagnetic resonance in medicine · 2024Article
- Joint MAPLE: Accelerated joint T1 and T2∗ mapping with scan-specific self-supervised networksMagnetic resonance in medicine · 2024Article
- A Physics-Based Algorithm to Universally Standardize Routinely Obtained Clinical TAcademic radiology · 2024Article
- Model-based reconstructions for intravoxel incoherent motion and diffusion tensor imaging parameter map estimations.NMR in biomedicine · 2023Article
- AI in MRI: Computational Frameworks for a Faster, Optimized, and Automated Imaging Workflow.Bioengineering (Basel, Switzerland) · 2023Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
Abstract
Conventional magnetic resonance imaging (MRI) is hampered by long scan times and only qualitative image contrasts that prohibit a direct comparison between different systems. To address these limitations, model-based reconstructions explicitly model the physical laws that govern the MRI signal generation. By formulating image reconstruction as an inverse problem, quantitative maps of the underlying physical parameters can then be extracted directly from efficiently acquired k-space signals without intermediate image reconstruction-addressing both shortcomings of conventional MRI at the same time. This review will discuss basic concepts of model-based reconstructions and report on our experience in developing several model-based methods over the last decade using selected examples that are provided complete with data and code. This article is part of the theme issue 'Synergistic tomographic image reconstruction: part 1'.
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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.