Evidence map›Paper›PMID 40132368›Full record

ArticleMedical image analysis2025

5D image reconstruction exploiting space-motion-echo sparsity for accelerated free-breathing quantitative liver MRI.

MungSoo Kang, Ricardo Otazo, Gerald Behr, Youngwook Kee

Abstract read
In one paragraph

Article in Medical image analysis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Accelerated Free-Breathing 5D Multi-Echo Respiratory Motion-Resolved R2*, PDFF, and QSM Using Novel Composite Total Variation.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2026
    Article
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

4 authors.

MungSoo KangDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, NY, USA.
Ricardo OtazoDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, NY, USA; Department of Radiology, Memorial Sloan Kettering Cancer Center, NY, USA.
Gerald BehrDepartment of Radiology, Memorial Sloan Kettering Cancer Center, NY, USA.
Youngwook KeeDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, NY, USA. Electronic address: keey@mskcc.org.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Rapid Free-Breathing 3D High-Resolution MRI for Volumetric Liver Iron QuantificationR21EB033985 · NIBIB · STATE UNIVERSITY NEW YORK STONY BROOK · PI Youngwook Kee · 2023 to 2026
$655k
Noninvasive Measurement of Voxelwise Renal Oxygenation UsingQuantitative Susceptibility MappingR21DK137146 · NIDDK · STATE UNIVERSITY NEW YORK STONY BROOK · PI KEE, YOUNGWOOK · 2024 to 2025
$456k
NCI NIH HHS P30 CA008748NIBIB NIH HHS R21 EB033985NIDDK NIH HHS R21 DK137146
6 · The paper itself

Abstract

Recent advances in 3D non-Cartesian multi-echo gradient-echo (mGRE) imaging and compressed sensing (CS)-based 4D (3D image space + 1D respiratory motion) motion-resolved image reconstruction, which applies temporal total variation to the respiratory motion dimension, have enabled free-breathing liver tissue MR parameter mapping. This technology now allows for robust reconstruction of high-resolution proton density fat fraction (PDFF), R

Indexed as

Imaging, Three-DimensionalLiverMagnetic Resonance ImagingAlgorithmsHumansPhantoms, ImagingRespiration3D multi-echo non-Cartesian MRI5D motion-resolved reconstructionFree-breathing quantitative liver MRIk-space undersampling

Identifiers

PMID40132368
PMCPMC12439356

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Registered trials

None linked

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.