Evidence map›Paper›PMID 41867508›Full record

ArticleIEEE transactions on computational imaging2026

Spatiotemporal Maps for Dynamic MRI Reconstruction.

Rodrigo A Lobos, Xiaokai Wang, Rex T L Fung, Yongli He, David Frey, Dinank Gupta, Zhongming Liu, Jeffrey A Fessler, Douglas C Noll

Abstract read
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In one paragraph

Article in IEEE transactions on computational imaging, 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

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

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

9 authors.

Rodrigo A LobosDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109 USA.
Xiaokai WangDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109 USA.
Rex T L FungDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109 USA.
Yongli HeDepartment of Applied Physics, University of Michigan, Ann Arbor, MI 48109 USA.
David FreyDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109 USA.
Dinank GuptaDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109 USA.
Zhongming LiuDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109 USA.
Jeffrey A FesslerDepartment of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109 USA.
Douglas C NollDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109 USA.

Funding

Functional Neural Circuits of Stomach-Brain InteroceptionR01AT011665 · NCCIH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHEN, JIANDE, LIU, ZHONGMING · 2021 to 2025
$2.8M
Silent Functional MRI Using Looping StarR01EB035618 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DOUGLAS C NOLL · 2025 to 2026
$974k
Novel methods for dynamic MRI of gastrointestinal motor functionR21EB034344 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NOLL, DOUGLAS C · 2024 to 2025
$386k
NCCIH NIH HHS R01 AT011665NIBIB NIH HHS R01 EB035618NIBIB NIH HHS R21 EB034344
6 · The paper itself

Abstract

The partially separable functions (PSF) model is commonly adopted in dynamic MRI reconstruction, as is the underlying signal model in many reconstruction methods including the ones relying on low-rank assumptions. Even though the PSF model offers a parsimonious representation of the dynamic MRI signal in several applications, its representation capabilities tend to decrease in scenarios where voxels present different temporal/spectral characteristics at different spatial locations. In this work we account for this limitation by proposing a new model, called spatiotemporal maps (STMs), that leverages autoregressive properties of (

Indexed as

autoregressionDynamic MRI reconstructionfunctional MRIgastrointestinal MRIpartially separable functions

Identifiers

PMID41867508
PMCPMC13004049

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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.