Evidence map›Paper›PMID 28303617›Full record

ArticleMagnetic resonance in medicine2018

Joint system relaxometry (JSR) and Crámer-Rao lower bound optimization of sequence parameters: A framework for enhanced precision of DESPOT T

Rui Pedro A G Teixeira, Shaihan J Malik, Joseph V Hajnal

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Article in Magnetic resonance in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

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30citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

30 citing papers in PubMed.

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  17. Magnetic resonance fingerprinting review part 2: Technique and directions.Journal of magnetic resonance imaging : JMRI · 2020
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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Rui Pedro A G TeixeiraDivision of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom.ORCID http://orcid.org/0000-0001-6508-9315
Shaihan J MalikDivision of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom.
Joseph V HajnalDivision of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aims to increase the precision of single-compartment DESPOT relaxometry by two means: (i) a joint system relaxometry (JSR) approach that estimates parameters in a single step using all available data; and (ii) optimizing acquisition parameters by deploying a robust design tool based on the Crámer-Rao lower bound (CRLB).

methodsFollowing the development of the analysis and design capabilities, phantom and four in vivo subject experiments were performed to compare directly the precision achieved with DESPOT and JSR estimation using published protocols and protocols designed using a proposed CRLB framework.

resultsExperimental data demonstrate JSR's ability to decrease relaxometry estimation variance. Phantom results show 72 to 77% improvement using the same data as conventional DESPOT. This is further improved to 81 to 87% using optimal parameters. Both experiments show systematic bias depending on the acquisition parameters used, which are shown to be highly reproducible and to vary with different magnetization transfer conditions.

conclusionsCompared with DESPOT, JSR produces reproducible relaxation maps with improved precision. Further improvement was achieved using CRLB as a protocol design tool. With this combined approach, it is possible to achieve submillimeter maps of ρ,T1,T2, and B0 in an 11-min examination, making the approach appealing for potential clinical use. Magn Reson Med 79:234-245, 2018. © 2017 The Authors Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Indexed as

Phantoms, ImagingAdultAlgorithmsBrainCalibrationComputer SimulationFemaleHealthy VolunteersHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMaleModels, StatisticalReproducibility of ResultsSignal-To-Noise RatioCRLBDESPOTrelaxometry

Identifiers

PMID28303617
PMCPMC5763350

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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.