Evidence map›Paper›PMID 24753099›Full record

ArticleMagnetic resonance in medicine2015

Complex difference constrained compressed sensing reconstruction for accelerated PRF thermometry with application to MRI-induced RF heating.

Zhipeng Cao, Sukhoon Oh, Ricardo Otazo, Christopher T Sica, Mark A Griswold, Christopher M Collins

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Progress in Understanding Radiofrequency Heating and Burn Injuries for Safer MR Imaging.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2023
    Review
  3. Article
  4. Article
  5. Review
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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

6 authors.

Zhipeng CaoDepartment of Bioengineering, The Pennsylvania State University, Hershey, Pennsylvania, USA; Department of Radiology, The Pennsylvania State University, Hershey, Pennsylvania, USA.
Sukhoon Oh
Ricardo Otazo
Christopher T Sica
Mark A Griswold
Christopher M Collins

Funding

TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Dmitry S Novikov · 2014 to 2026
$19.3M
High Field MRI: Limitations and SolutionsR01EB000454 · NIBIB · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI COLLINS, CHRISTOPHER M · 2002 to 2012
$11.9M
Improved Cardiac and Vascular MRI Using Parallel Imaging and Compressed SensingR01HL094557 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GRISWOLD, MARK, SEIBERLICH, NICOLE · 2010 to 2018
$4.5M
RF Technology Innovation for Advancing High Field MR.R01EB011551 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI COLLINS, CHRISTOPHER M · 2011 to 2014
$2.7M
MR Physics Simulation Package for Pulse, Sequence, and Hardware DesignR01EB006563 · NIBIB · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI COLLINS, CHRISTOPHER M · 2007 to 2009
$780k
NHLBI NIH HHS 1R01HL094557NIBIB NIH HHS P41 EB017183NIBIB NIH HHS R01 EB000454NIBIB NIH HHS R01 EB006563NIBIB NIH HHS R01 EB011551
6 · The paper itself

Abstract

purposeIntroduce a novel compressed sensing reconstruction method to accelerate proton resonance frequency shift temperature imaging for MRI-induced radiofrequency heating evaluation.

methodsA compressed sensing approach that exploits sparsity of the complex difference between postheating and baseline images is proposed to accelerate proton resonance frequency temperature mapping. The method exploits the intra-image and inter-image correlations to promote sparsity and remove shared aliasing artifacts. Validations were performed on simulations and retrospectively undersampled data acquired in ex vivo and in vivo studies by comparing performance with previously published techniques.

resultsThe proposed complex difference constrained compressed sensing reconstruction method improved the reconstruction of smooth and local proton resonance frequency temperature change images compared to various available reconstruction methods in a simulation study, a retrospective study with heating of a human forearm in vivo, and a retrospective study with heating of a sample of beef ex vivo.

conclusionComplex difference based compressed sensing with utilization of a fully sampled baseline image improves the reconstruction accuracy for accelerated proton resonance frequency thermometry. It can be used to improve the volumetric coverage and temporal resolution in evaluation of radiofrequency heating due to MRI, and may help facilitate and validate temperature-based methods for safety assurance.

Indexed as

AlgorithmsBody TemperatureComputer SimulationData CompressionForearmHumansImage EnhancementImage Interpretation, Computer-AssistedMagnetic FieldsMagnetic Resonance ImagingModels, BiologicalReproducibility of ResultsSensitivity and SpecificityThermographycompressed sensingMRIproton resonance frequency shiftradiofrequency heatingspecific absorption rate

Identifiers

PMID24753099
PMCPMC4205230

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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.