ArticleJournal of magnetic resonance imaging : JMRI2020
Bulk motion-compensated DCE-MRI for functional imaging of kidneys in newborns.
Article in Journal of magnetic resonance imaging : JMRI, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 14 citations in OpenAlex.
- Analysis of the sample size used in clinical MRI studies.PloS one · 2025Article
- Motion-compensated image reconstruction for improved kidney function assessment using dynamic contrast-enhanced MRI.NMR in biomedicine · 2024Article
- State-of-the-art magnetic resonance imaging sequences for pediatric body imaging.Pediatric radiology · 2023Review
- Prospective motion correction in kidney MRI using FID navigators.Magnetic resonance in medicine · 2023Article
- Quantitative renal magnetic resonance imaging: magnetic resonance urography.Pediatric radiology · 2022Review
- Learning the Regularization in DCE-MR Image Reconstruction for Functional Imaging of Kidneys.IEEE access : practical innovations, open solutions · 2022Article
- Motion correction of free-breathing magnetic resonance renography using model-driven registration.Magma (New York, N.Y.) · 2021Article
- Improving Automatic Renal Segmentation in Clinically Normal and Abnormal Paediatric DCE-MRI via Contrast Maximisation and Convolutional Networks for Computing Markers of Kidney Function.Sensors (Basel, Switzerland) · 2021Article
- Modeling dynamic radial contrast enhanced MRI with linear time invariant systems for motion correction in quantitative assessment of kidney function.Medical image analysis · 2021Article
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundEvaluation of kidney function in newborns with hydronephrosis is important for clinical decisions. Dynamic contrast-enhanced (DCE) MRI can provide the necessary anatomical and functional information. Golden angle dynamic radial acquisition and compressed sensing reconstruction provides sufficient spatiotemporal resolution to achieve accurate parameter estimation for functional imaging of kidneys. However, bulk motion during imaging (rigid or nonrigid movement of the subject resulting in signal dropout) remains an unresolved challenge. PURPOSE: To evaluate a motion-compensated (MoCo) DCE-MRI technique for robust evaluation of kidney function in newborns. Our method includes: 1) motion detection, 2) motion-robust image reconstruction, 3) joint realignment of the volumes, and 4) tracer-kinetic (TK) model fitting to evaluate kidney function parameters. STUDY TYPE: Retrospective. SUBJECTS: Eleven newborn patients (ages <6 months, 6 female). FIELD STRENGTH/SEQUENCE: 3T; dynamic "stack-of-stars" 3D fast low-angle shot (FLASH) sequence using a multichannel body-matrix coil. ASSESSMENT: We evaluated the proposed technique in terms of the signal-to-noise ratio (SNR) of the reconstructed images, the presence of discontinuities in the contrast agent concentration time curves due to motion with a total variation (TV) metric and the goodness of fit of the TK model, and the standard variation of its parameters. STATISTICAL TESTS: We used a paired t-test to compare the MoCo and no-MoCo results.
resultsThe proposed MoCo method successfully detected motion and improved the SNR by 3.3 (P = 0.012) and decreased TV by 0.374 (P = 0.017) across all subjects. Moreover, it decreased nRMSE of the TK model fit for the subjects with less than five isolated bulk motion events in 6 minutes (mean 1.53, P = 0.043), but not for the subjects with more frequent events or no motion (P = 0.745 and P = 0.683). DATA
conclusionOur results indicate that the proposed MoCo technique improves the image quality and accuracy of the TK model fit for subjects who present isolated bulk motion events. LEVEL OF EVIDENCE: 3 Technical Efficacy Stage: 1 J. Magn. Reson. Imaging 2020;52:207-216.
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