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Pulse sequences as tissue property filters (TP-filters): a way of understanding the signal, contrast and weighting of magnetic resonance images

Quantitative Imaging in Medicine and Surgery(2020)10.21037/qims.2020.04.07Source: DataRank Database

Pulse sequences as tissue property filters (TP-filters): a way of understanding the signal, contrast and weighting of magnetic resonance images is a research paper published in Quantitative Imaging in Medicine and Surgery (2020). On theSindex it has a DataRank of 0. It has been cited 22 times.

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Open Access22 citations

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Enrichment:Funding (2 grants)OA: goldTopics (11)IDs (PubMed, PMC)Annotations (1)

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Authors (4)

Nikolaus M. Szeverenyi,Jiang Du ORCID,Graeme M. Bydder ORCID,I. R. Young

Live enrichment

PubMed:32489930 PMC:PMC7242304

NINDS NIH HHS

Grant: R01 NS092650

National Institutes of Health

Grant: 5R01NS092650-05

UTE Magnetic Resonance Imaging: New Biomarkers for Multiple Sclerosis

goldLicense: cc-by-nc-nd

publisherhttps://qims.amegroups.com/article/viewFile/42010/pdf

publisherhttp://qims.amegroups.com/article/download/42010/pdf

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/7242304

https://doi.org/10.21037/qims.2020.04.07

https://pubmed.ncbi.nlm.nih.gov/32489930

Fields of Study

03 medical and health sciences0302 clinical medicine

Keywords

SignalQuantitationWeightingcontrastFiltersPhasePulse SequencesMagnetic Resonance (Mr) ImagingTissue Properties (Tps)

Pulse sequences as tissue property filters (TP-filters): a way of understanding the signal, contrast and weighting of magnetic resonance images

FAIR Checklist

Authors (4)

Funding (2 grants)

Open Access

Topics

Annotations (Europe PMC)