ArticleJournal of magnetic resonance imaging : JMRI2019
Simultaneous Evaluation of Lung Anatomy and Ventilation Using 4D Respiratory-Motion-Resolved Ultrashort Echo Time Sparse MRI.
Article in Journal of magnetic resonance imaging : JMRI, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed, 48 citations in OpenAlex.
- Respiratory Motion Management in Abdominal MRI: Revisiting the Gap Between Technical Advances and Clinical Translation.Magnetic resonance in medicine · 2026Review
- Self-Supervised Joint Reconstruction and Denoising of T2-Weighted PROPELLER MRI of the Lung at 0.55T.Magnetic resonance in medicine · 2026Article
- Combined anatomical MRI differentiates pulmonary invasive adenocarcinoma from tuberculoma in noncalcified nodule: a retrospective comparison of CT with MRI.Journal of thoracic disease · 2026Article
- Improving image quality by comparing two chest MRI sequences: free-breathing T1-weighted Star-VIBE and breath-holding T1-weighted 3D VIBE Dixon.Radiologie (Heidelberg, Germany) · 2025Article
- High-definition motion-resolved MRI using 3D radial kooshball acquisition and deep learning spatial-temporal 4D reconstruction.Physics in medicine and biology · 2025Article
- Techniques for Respiratory Motion-Resolved Magnetic Resonance Imaging of the Chest in Children with Spinal or Chest Deformities: A Comprehensive Overview.Journal of clinical medicine · 2025Review
- Free-breathing time-resolved 4D MRI with improved T1-weighting contrast.NMR in biomedicine · 2024Article
- Large-scale 3D non-Cartesian coronary MRI reconstruction using distributed memory-efficient physics-guided deep learning with limited training data.Magma (New York, N.Y.) · 2024Article
- Comparison of weighting algorithms to mitigate respiratory motion in free-breathing neonatal pulmonary radial UTE-MRI.Biomedical physics & engineering express · 2024Article
- Movienet: Deep space-time-coil reconstruction network without k-space data consistency for fast motion-resolved 4D MRI.Magnetic resonance in medicine · 2024Article
- The Role of Proton MRI to Evaluate Patient Pathophysiology in Severe Asthma.Radiology. Cardiothoracic imaging · 2023Article
- Free-breathing half-radial dual-echo balanced steady-state free precession thoracic imaging with wobbling Archimedean spiral pole trajectories.Zeitschrift fur medizinische Physik · 2023Article
- Kz-accelerated variable-density stack-of-stars MRI.Magnetic resonance imaging · 2023Article
- Performance of spiral UTE-MRI of the lung in post-COVID patients.Magnetic resonance imaging · 2023Article
- 4D Golden-Angle Radial MRI at Subsecond Temporal Resolution.NMR in biomedicine · 2023Article
- 4D lung MRI with high-isotropic-resolution using half-spoke (UTE) and full-spoke 3D radial acquisition and temporal compressed sensing reconstruction.Physics in medicine and biology · 2023Article
- Making the invisible visible-ultrashort echo time magnetic resonance imaging: Technical developments and applications.Applied physics reviews · 2022Review
- Emergence of MR-Linac in Radiation Oncology: Successes and Challenges of Riding on the MRgRT Bandwagon.Journal of clinical medicine · 2022Article
- Dynamic imaging using motion-compensated smoothness regularization on manifolds (MoCo-SToRM).Physics in medicine and biology · 2022 · on this mapArticle
- Golden-Angle Radial MRI: Basics, Advances, and Applications.Journal of magnetic resonance imaging : JMRI · 2022Review
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Authors and funding
15 authors at 5 institutions in 3 countries.
Funding
Abstract
backgroundComputed tomography (CT) and spirometry are the current standard methods for assessing lung anatomy and pulmonary ventilation, respectively. However, CT provides limited ventilation information and spirometry only provides global measures of lung ventilation. Thus, a method that can enable simultaneous examination of lung anatomy and ventilation is of clinical interest. PURPOSE: To develop and test a 4D respiratory-resolved sparse lung MRI (XD-UTE: eXtra-Dimensional Ultrashort TE imaging) approach for simultaneous evaluation of lung anatomy and pulmonary ventilation. STUDY TYPE: Prospective. POPULATION: In all, 23 subjects (11 volunteers and 12 patients, mean age = 63.6 ± 8.4). FIELD STRENGTH/SEQUENCE: 3T MR; a prototype 3D golden-angle radial UTE sequence, a Cartesian breath-hold volumetric-interpolated examination (BH-VIBE) sequence. ASSESSMENT: All subjects were scanned using the 3D golden-angle radial UTE sequence during normal breathing. Ten subjects underwent an additional scan during alternating normal and deep breathing. Respiratory-motion-resolved sparse reconstruction was performed for all the acquired data to generate dynamic normal-breathing or deep-breathing image series. For comparison, BH-VIBE was performed in 12 subjects. Lung images were visually scored by three experienced chest radiologists and were analyzed by two observers who segmented the left and right lung to derive ventilation parameters in comparison with spirometry. STATISTICAL TESTS: Nonparametric paired two-tailed Wilcoxon signed-rank test; intraclass correlation coefficient, Pearson correlation coefficient.
resultsXD-UTE achieved significantly improved image quality compared both with Cartesian BH-VIBE and radial reconstruction without motion compensation (P < 0.05). The global ventilation parameters (a sum of the left and right lung measures) were in good correlation with spirometry in the same subjects (correlation coefficient = 0.724). There were excellent correlations between the results obtained by two observers (intraclass correlation coefficient ranged from 0.8855-0.9995). DATA
conclusionSimultaneous evaluation of lung anatomy and ventilation using XD-UTE is demonstrated, which have shown good potential for improved diagnosis and management of patients with heterogeneous lung diseases. LEVEL OF EVIDENCE: 2 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;49:411-422.
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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.