Evidence map›Paper›PMID 42304561›Full record

ArticleMagnetic resonance in medicine2026

Arc-ZTE: Continuously-Slewed Zero-TE Imaging With Incoherent Temporal Sampling for Near-Silent Dynamic MRI.

Shreya Ramachandran, Tobias C Wood, Gavin Zhang, Ali B Syed, Shreyas S Vasanawala, Michael Lustig

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Shreya RamachandranDepartment of Electrical Engineering and Computer Sciences, University of California Berkeley, Berkeley, California, USA.ORCID https://orcid.org/0000-0001-7023-1718
Tobias C WoodDepartment of Neuroimaging, King's College London, London, UK.ORCID https://orcid.org/0000-0001-7640-5520
Gavin ZhangDepartment of Electrical Engineering and Computer Sciences, University of California Berkeley, Berkeley, California, USA.
Ali B SyedDepartment of Radiology, Stanford University, Stanford, California, USA.
Shreyas S VasanawalaDepartment of Radiology, Stanford University, Stanford, California, USA.ORCID https://orcid.org/0000-0002-1999-6595
Michael LustigDepartment of Electrical Engineering and Computer Sciences, University of California Berkeley, Berkeley, California, USA.ORCID https://orcid.org/0000-0002-4794-221X

Funding

Rapid Robust Pediatric MRIR01EB009690 · NIBIB · STANFORD UNIVERSITY · PI LUSTIG, MICHAEL, VASANAWALA, SHREYAS S · 2010 to 2021
$5.6M
Pediatric Cardiopulmonary MRI using RF Navigators and High Dimensional Deep LearningR01HL173035 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI Kevin Michael Johnson, Peder Eric Zufall Larson · 2024 to 2026
$2.1M
Rapid and Robust Pediatric MRIR01EB036127 · NIBIB · STANFORD UNIVERSITY · PI Michael Lustig, Shreyas S Vasanawala · 2024 to 2026
$1.8M
GE HealthcareNHLBI NIH HHS R01 HL173035NIBIB NIH HHS R01 EB009690NIBIB NIH HHS R01 EB036127NIH HHS R01EB009690NIH HHS R01EB036127NIH HHS R01HL173035
6 · The paper itself

Abstract

purposeTo enable flexible dynamic and DCE MRI with low acoustic noise and high spatiotemporal resolution using zero echo time (ZTE) imaging.

methodsThis work proposes Arc-ZTE, a technique in which the readout gradients of ZTE are continuously-slewed to form arcs in k-space that are sequentially rotated to yield an incoherent trajectory. These rotations are selected via an optimization procedure that both promotes temporal k-space coverage and penalizes gradient refocusing. Arc-ZTE was evaluated against existing radial ZTE schemes based on metrics for acoustic noise, k-space coverage uniformity, and sampling incoherence. Phantom and in vivo demonstrations were conducted to evaluate image quality at high temporal resolutions.

resultsArc-ZTE achieved stable k-space coverage and improved sampling incoherence over a range of temporal resolutions, with respect to radial ZTE schemes. Although increasing arc curvature increased its acoustic noise over standard radial ZTE (by 0.3-14.2 dB), Arc-ZTE remained substantially quieter than conventional 3D sequences by 20-35 dB. In vivo experiments demonstrated that time-resolved Arc-ZTE effectively captured dynamics of respiratory motion and contrast uptake when reconstructed at 0.5 and 1.1 s/frame respectively.

conclusionArc-ZTE enables flexible, time-resolved, near-silent dynamic MRI through incoherent temporal sampling, which allows data to be retrospectively binned into a flexible choice of temporal resolution without modifying the trajectory design. This work has the potential to significantly improve the success rates of dynamic imaging among neonates, young children, and other sound-sensitive patients.

Indexed as

Image Processing, Computer-AssistedMagnetic Resonance ImagingAcousticsAlgorithmsContrast MediaDynamic Contrast Enhanced Magnetic Resonance ImagingHumansPhantoms, ImagingContrast Mediadynamic MRIRUFISsilent MRIZTE

Identifiers

PMID42304561
PMCPMC13418941

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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.