ArticleProceedings of the National Academy of Sciences of the United States of America2021
Automated design of pulse sequences for magnetic resonance fingerprinting using physics-inspired optimization.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed, 4 citations in OpenAlex.
- An Interpretable Deep-Learning Approach for Efficient CEST Parameter Quantification: Importance-Ranked Saturation Transfer MRI Protocol.Magnetic resonance in medicine · 2026Article
- Quantitative Assessment of Brain Glucose Metabolism Using Dynamic Glucose-Enhanced Magnetic Resonance Fingerprinting (DGE-MRF).Chemical & biomedical imaging · 2026Article
- Clinical use and radiological yield of magnetic resonance fingerprinting in epilepsy.Epilepsia · 2026Article
- RF phase modulation improves quantitative transient state sequences under constrained conditions.Magma (New York, N.Y.) · 2026Article
- Surfaced-based detection of focal cortical dysplasia using magnetic resonance fingerprinting and machine learning.Epilepsia · 2026Article
- Multi-contrast generation and quantitative MRI using a transformer-based framework with RF excitation embeddings.Communications biology · 2025Article
- Accurate MRF-Based 3D Multi-Channel BNMR in biomedicine · 2025Article
- A steady-state MR fingerprinting sequence optimization framework applied to the fast 3D quantification of fat fraction and water T1 in the thigh muscles.Magnetic resonance in medicine · 2025Article
- Time-resolved MR fingerprinting for TMagnetic resonance in medicine · 2025Article
- SuperMRF: deep robust reconstruction for highly accelerated magnetic resonance fingerprinting.Quantitative imaging in medicine and surgery · 2025Article
- 3D MR fingerprinting for dynamic contrast-enhanced imaging of whole mouse brain.Magnetic resonance in medicine · 2025Article
- Efficient pulse sequence design framework for high-dimensional MR fingerprinting scans using systematic error index.Magnetic resonance in medicine · 2024Article
- Article
- Artificial intelligence for neuro MRI acquisition: a review.Magma (New York, N.Y.) · 2024Review
- Article
- Motion Robust MR Fingerprinting Scan to Image Neonates With Prenatal Opioid Exposure.Journal of magnetic resonance imaging : JMRI · 2024Article
- Emerging Trends in Magnetic Resonance Fingerprinting for Quantitative Biomedical Imaging Applications: A Review.Bioengineering (Basel, Switzerland) · 2024Review
- Enhancing MR vascular Fingerprinting with realistic microvascular geometries.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Improving motion robustness of 3D MR fingerprinting with a fat navigator.Magnetic resonance in medicine · 2023Article
- A fast MR fingerprinting simulator for direct error estimation and sequence optimization.Magnetic resonance imaging · 2023Article
Corrections and comments
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Authors and funding
12 authors at 4 institutions in 1 country.
Funding
Abstract
Magnetic resonance fingerprinting (MRF) is a method to extract quantitative tissue properties such as [Formula: see text] and [Formula: see text] relaxation rates from arbitrary pulse sequences using conventional MRI hardware. MRF pulse sequences have thousands of tunable parameters, which can be chosen to maximize precision and minimize scan time. Here, we perform de novo automated design of MRF pulse sequences by applying physics-inspired optimization heuristics. Our experimental data suggest that systematic errors dominate over random errors in MRF scans under clinically relevant conditions of high undersampling. Thus, in contrast to prior optimization efforts, which focused on statistical error models, we use a cost function based on explicit first-principles simulation of systematic errors arising from Fourier undersampling and phase variation. The resulting pulse sequences display features qualitatively different from previously used MRF pulse sequences and achieve fourfold shorter scan time than prior human-designed sequences of equivalent precision in [Formula: see text] and [Formula: see text] Furthermore, the optimization algorithm has discovered the existence of MRF pulse sequences with intrinsic robustness against shading artifacts due to phase variation.
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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.