Evidence map›Paper›PMID 39726695›Full record

ArticleInternational journal of biomedical research & practice2024

One-Step Image Reconstruction for Cine MRI with a Quadratic Constraint.

Gengsheng L Zeng, Xiaodong Ma, Chun Yuan

Abstract read
In one paragraph

Article in International journal of biomedical research & practice, 2024. 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

3 authors.

Gengsheng L ZengUtah Valley University, Orem, UT, United States.
Xiaodong MaUniversity of Utah, Salt Lake City, UT, United States.
Chun YuanUniversity of Utah, Salt Lake City, UT, United States.

Funding

Fusion pores in endocrine and synaptic exocytosisR35NS127219 · NINDS · UNIVERSITY OF WISCONSIN-MADISON · PI MEYER B. JACKSON · 2022 to 2026
$4.7M
Quantitative model-based ESUS reclassification using cardiac and cerebral vessel wall MRIR01NS125635 · NINDS · UNIVERSITY OF WASHINGTON · PI AKOUM, NAZEM, MOSSA-BASHA, MAHMUD · 2022 to 2025
$3.0M
Reducing Metal Artifacts in Clinical X-Ray CT via Image Reconstruction TechniquesR15EB024283 · NIBIB · WEBER STATE UNIVERSITY · PI ZENG, GENGSHENG · 2018 to 2022
$644k
NIBIB NIH HHS R15 EB024283NINDS NIH HHS R01 NS125635NINDS NIH HHS R35 NS127219
6 · The paper itself

Abstract

Motivation: In cine MRI, the measurements within each timeframe alone are too noisy for image reconstruction. Some information must be 'borrowed' from other time frames and the reconstruction algorithm is a slow iterative procedure. Goals: We set up a constrained objective function, which uses the measurements at other time frames to regularize the image reconstruction. We derive a non-iterative algorithm to minimize this objective function. Approach: The derivation of the algorithm is based on the calculus of variations. The resultant algorithm is in the form of filtered backprojection. Results: The feasibility of the proposed algorithm is demonstrated with a clinical patient brain study. Impact: Non-iterative reconstruction that minimizes a constrained objective function significantly increases the throughput in healthcare institutions. This may translate to reduced healthcare costs. The new reconstruction formula has a closed form that gives an explicit expression of how to incorporate the reference image in dynamic reconstruction.

Indexed as

Cine MRIImage reconstruction

Identifiers

PMID39726695
PMCPMC11670894

What OpenQuestion holds

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Registered trials

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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.