Evidence map›Paper›PMID 22887122›Full record

ArticleNMR in biomedicine2013

A throughput-optimized array system for multiple-mouse MRI.

Marc S Ramirez, Stephen Y Lai, James A Bankson

Abstract read
In one paragraph

Article in NMR in biomedicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Feasibility of multianimal hyperpolarized (13) C MRS.Magnetic resonance in medicine · 2015
    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

3 authors.

Marc S RamirezDepartment of Imaging Physics, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA.
Stephen Y Lai
James A Bankson

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Experimental Cancer Imaging Research Program (ECIRP)U24CA126577 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI GELOVANI, JURI GEORGE, HAZLE, JOHN D. · 2007 to 2011
$2.2M
NCI NIH HHS P30 CA016672NCI NIH HHS P30-CA016672NCI NIH HHS U24 CA126577NCI NIH HHS U24-CA126577
6 · The paper itself

Abstract

MRI is a versatile tool for the systematic assessment of anatomical and functional changes in small-animal models of human disease. Its noninvasive nature makes it an ideal candidate for longitudinal evaluations of disease progression, but relatively long scan times limit the number of observations that can be made in a given interval of time, imposing restrictions on experimental design and potentially compromising statistical power. Methods that reduce the overall time required to scan multiple cohorts of animals in distinct experimental groups are therefore highly desirable. Multiple-mouse MRI, in which several animals are simultaneously scanned in a common MRI system, has been successfully used to improve study throughput. However, to best utilize the next generation of small-animal MRI systems that will be equipped with an increased number of receive channels, a paradigm shift from the simultaneous scanning of as many animals as possible to the scanning of a more manageable number, at a faster rate, must be considered. This work explores the tradeoffs between the number of animals to scan at once and the number of array elements dedicated to each animal, to maximize throughput in systems with 16 receive channels. An array system consisting of 15 receive and five transmit coils allows acceleration by a combination of multi-animal and parallel imaging techniques. The array system was designed and fabricated for use on a 7.0-T/30-cm Bruker Biospec MRI system, and tested for high-throughput imaging performance in phantoms and live mice. Results indicate that up to a nine-fold throughput improvement of a single sequence is possible compared with an unaccelerated single-animal acquisition. True data throughput of a contrast-enhanced anatomical study is estimated to be improved by just over six-fold.

Indexed as

AnimalsEquipment DesignEquipment Failure AnalysisImage EnhancementMagnetic Resonance ImagingMaleMiceMice, NudeModels, AnimalPhantoms, ImagingReproducibility of ResultsSensitivity and SpecificityTransducersWhole Body Imaging

Identifiers

PMID22887122
PMCPMC3543508

What OpenQuestion holds

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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.