ArticleRadiology2016
MR Fingerprinting for Rapid Quantitative Abdominal Imaging.
Article in Radiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 114 papers.
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Who cites it
114 citing papers in PubMed, 200 citations in OpenAlex.
- Simultaneous T1, T2, R2*, PDFF, and triglyceride quantification in the head and neck using magnetic resonance fingerprinting on a 1.5T MR-Linac.Medical physics · 2026Article
- Spatial-temporal and physical constrained deep learning model for simultaneous T1 and T2 reconstruction and mapping (STEP).Quantitative imaging in medicine and surgery · 2026Article
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- Navigator-gated free-breathing joint TMagma (New York, N.Y.) · 2026Article
- Diagnosing abdominal neoplasms using a T2 mapping radial turbo spin-echo technique with partial volume correction.European radiology · 2026Article
- Physics-informed optimization of saturation-transfer MRI protocols using non-differentiable Bloch models.Physics in medicine and biology · 2026Article
- Accelerating 2D Kidney Magnetic Resonance Fingerprinting Using Deep Learning Based Tissue Quantification.Journal of magnetic resonance imaging : JMRI · 2026Article
- Clinical MR Biomarkers.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2026Review
- Navigator motion-resolved MR fingerprinting using implicit neural representation: Feasibility for free-breathing three-dimensional whole-liver multiparametric mapping.Magnetic resonance in medicine · 2026Article
- Quantitative multi-metabolite imaging of Parkinson's disease using AI boosted molecular MRI.Npj imaging · 2025Article
- Accelerated free-breathing abdominal T2 mapping with deep learning reconstruction of radial turbo spin-echo data.Magnetic resonance in medicine · 2025Article
- Improved Spiral Projection MR Fingerprinting via Memory-Efficient Synergic Optimization of 3D Spiral Trajectory, Image Reconstruction and Parameter Estimation (SOTIP).IEEE transactions on medical imaging · 2025Article
- Assessing repeatability and confounding factors of magnetic resonance fingerprinting (MRF) for quantitative liver imaging.Medical physics · 2025Article
- Automated Whole-Brain Focal Cortical Dysplasia Detection Using MR Fingerprinting With Deep Learning.Neurology · 2025Article
- Repeatability of quantitative MR fingerprinting for TEuropean radiology · 2025Article
- Incorporating Spatial and Spectral Saturation Modules Into MR Fingerprinting.NMR in biomedicine · 2025Article
- Free-breathing qRF-MRF with pilot tone respiratory motion navigator for TMagma (New York, N.Y.) · 2025Article
- Acceleration of Simultaneous Multislice Magnetic Resonance Fingerprinting With Spatiotemporal Convolutional Neural Network.NMR in biomedicine · 2025Article
- MRI-compatible abdomen phantom to mimic respiratory-triggered organ movement while performing needle-based interventions.International journal of computer assisted radiology and surgery · 2024Article
- Accelerated 2D radial Look-Locker T1 mapping using a deep learning-based rapid inversion recovery sampling technique.NMR in biomedicine · 2024Article
54 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
Abstract
purposeTo develop a magnetic resonance (MR) "fingerprinting" technique for quantitative abdominal imaging. MATERIALS AND
methodsThis HIPAA-compliant study had institutional review board approval, and informed consent was obtained from all subjects. To achieve accurate quantification in the presence of marked B0 and B1 field inhomogeneities, the MR fingerprinting framework was extended by using a two-dimensional fast imaging with steady-state free precession, or FISP, acquisition and a Bloch-Siegert B1 mapping method. The accuracy of the proposed technique was validated by using agarose phantoms. Quantitative measurements were performed in eight asymptomatic subjects and in six patients with 20 focal liver lesions. A two-tailed Student t test was used to compare the T1 and T2 results in metastatic adenocarcinoma with those in surrounding liver parenchyma and healthy subjects.
resultsPhantom experiments showed good agreement with standard methods in T1 and T2 after B1 correction. In vivo studies demonstrated that quantitative T1, T2, and B1 maps can be acquired within a breath hold of approximately 19 seconds. T1 and T2 measurements were compatible with those in the literature. Representative values included the following: liver, 745 msec ± 65 (standard deviation) and 31 msec ± 6; renal medulla, 1702 msec ± 205 and 60 msec ± 21; renal cortex, 1314 msec ± 77 and 47 msec ± 10; spleen, 1232 msec ± 92 and 60 msec ± 19; skeletal muscle, 1100 msec ± 59 and 44 msec ± 9; and fat, 253 msec ± 42 and 77 msec ± 16, respectively. T1 and T2 in metastatic adenocarcinoma were 1673 msec ± 331 and 43 msec ± 13, respectively, significantly different from surrounding liver parenchyma relaxation times of 840 msec ± 113 and 28 msec ± 3 (P < .0001 and P < .01) and those in hepatic parenchyma in healthy volunteers (745 msec ± 65 and 31 msec ± 6, P < .0001 and P = .021, respectively).
conclusionA rapid technique for quantitative abdominal imaging was developed that allows simultaneous quantification of multiple tissue properties within one 19-second breath hold, with measurements comparable to those in published literature.
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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.