Evidence map›Paper›PMID 38657714›Full record

ArticleMagnetic resonance imaging2024

Constrained alternating minimization for parameter mapping (CAMP).

Nahla M H Elsaid, Nadine L Dispenza, Chenxi Hu, Dana C Peters, R Todd Constable, Hemant D Tagare, Gigi Galiana

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Magnetic resonance imaging, 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
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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

7 authors.

Nahla M H ElsaidDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, USA.
Nadine L DispenzaSiemens Healthcare GmbH Allee am Röthelheimpark, Erlangen 91052, Germany; Department of Biomedical Engineering, Yale University, New Haven, CT, USA.
Chenxi HuThe Institute of Medical Imaging Technology, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Dana C PetersDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, USA; Department of Biomedical Engineering, Yale University, New Haven, CT, USA.
R Todd ConstableDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, USA; Department of Neurosurgery, Yale University, New Haven, CT 06520, USA.
Hemant D TagareDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, USA; Department of Biomedical Engineering, Yale University, New Haven, CT, USA.
Gigi GalianaDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, USA; Department of Biomedical Engineering, Yale University, New Haven, CT, USA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Practical Nonlinear Gradient Encoding for Enhanced Accelerated ImagingR01EB022030 · NIBIB · YALE UNIVERSITY · PI GALIANA, GIGI · 2017 to 2020
$1.5M
NCATS NIH HHS UL1 TR001863NIBIB NIH HHS R01 EB022030
6 · The paper itself

Abstract

objectiveTo improve image quality in highly accelerated parameter mapping by incorporating a linear constraint that relates consecutive images. APPROACH: In multi-echo T MAIN

resultsCAMP is demonstrated for accelerated radial and Cartesian acquisitions in T SIGNIFICANCE: For a wide array of applications, CAMP linearizes the model cost function without sacrificing model accuracy so that the well-conditioned and highly efficient reconstruction algorithm improves the image quality of accelerated parameter maps.

Indexed as

AlgorithmsImage Processing, Computer-AssistedMagnetic Resonance ImagingPhantoms, ImagingArtifactsBrainHumansImage EnhancementReproducibility of ResultsConstrained reconstructionParallel MRIParameter mappingT(1) mappingT(2) mapping

Identifiers

PMID38657714
PMCPMC11193090

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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.