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Data Format Standardization and DICOM Integration for Hyperpolarized 13C MRI

Journal of Imaging Informatics in Medicine(2024)10.1007/s10278-024-01100-2Source: DataRank Database

Data Format Standardization and DICOM Integration for Hyperpolarized 13C MRI is a research paper published in Journal of Imaging Informatics in Medicine (2024). On theSindex it has a DataRank of 0.104. It has been cited 1 time.

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0.104DataRank · unranked

Scored on demand from live citation data

Open Access1 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (13 grants)Impact (FWCI 0.17)OA: greenTopics (68)IDs (PubMed, PMC, OpenAlex)SDGs (2)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.104

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

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Authors (14)

Renuka Sriram ORCID,Jeremy W. Gordon ORCID,Avantika Sinha ORCID,Xiaoxi Liu ORCID,Sule Sahin ORCID

Live enrichment

PubMed:38710970 PMC:PMC11522264 OpenAlex:https://openalex.org/W4396667233

National Institute of Biomedical Imaging and Bioengineering

Grant: P41EB013598

National Cancer Institute

Grant: U24CA253377

National Cancer Institute

Grant: R01CA262630

National Cancer Institute

Grant: R01CA249909

NHLBI NIH HHS

Grant: R01 HL171992

NCI NIH HHS

Grant: R01 CA238379

NCI NIH HHS

Grant: U01 CA232320

NHLBI NIH HHS

Grant: R33 HL161816

National Institutes of Health

Grant: 5P41EB013598-07

Hyperpolarized MRI Technology Resource Center

National Institutes of Health

Grant: 3U24CA253377-03S1

Characterization of PDX SCNC prostate cancer metastatic murine models and development of associated research resources

National Institutes of Health

Grant: 3R01CA249909-03S1

Translating Hyperpolarized 13C Metabolic MRI to Predict Renal Tumor Aggressiveness

National Institutes of Health

Grant: 5R01CA262630-04

Quantitative Steady-State and Dynamic Metabolic MRI for Evaluating Patients with Glioma

GE Healthcare

FWCI

0.17

Citation Percentile

0.4%

Citation Trend

2026

greenLicense: cc-by

repositoryhttps://arxiv.org/pdf/2405.03147

publisherhttps://link.springer.com/content/pdf/10.1007/s10278-024-01100-2.pdf

publisherhttps://link.springer.com/article/10.1007/s10278-024-01100-2/fulltext.html

repositoryhttp://arxiv.org/abs/2405.03147

Fields of Study

Advanced NMR Techniques and ApplicationsAtomic and Subatomic Physics ResearchSolid-state spectroscopy and crystallography03 medical and health sciences0302 clinical medicineMagnetic Resonance ImagingHumansCarbon IsotopesInformation Storage and RetrievalRadiology Information SystemsAnimalsSystems Integration

MeSH Terms

AnimalsCarbon IsotopesHumansMagnetic Resonance ImagingRadiology Information SystemsInformation Storage and RetrievalSystems Integration

Keywords

DICOMComputer scienceStandardizationMedical imagingPipeline transportPython (programming language)Medical physicsData miningInformation retrievalMedicineArtificial intelligenceEngineeringExperiment MetadataMetabolic ImagingHyperpolarized 13C MriDicom FormatMagnetic Resonance Imaging (mesh)Clinical SciencesClinical Trials and Supportive ActivitiesClinical Trials and Supportive Activities (rcdc)610Information Storage and RetrievalFOS: Physical sciencesBioengineeringInformation Storage and Retrieval (mesh)Biomedical Imaging (rcdc)Clinical Research (rcdc)Clinical ResearchAnimals (mesh)HumansAnimalsHyperpolarized C-13 MRI32 Biomedical and Clinical Sciences (for-2020)3202 Clinical Sciences (for-2020)Humans (mesh)Carbon IsotopesBiomedical and Clinical SciencesBioengineering (rcdc)Generic health relevance (hrcs-hc)Systems Integration (mesh)Physics - Medical PhysicsMagnetic Resonance ImagingCarbon Isotopes (mesh)Systems IntegrationRadiology Information SystemsRadiology Information Systems (mesh)Biomedical ImagingGeneric health relevanceMedical Physics (physics.med-ph)

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Industry, innovation and infrastructure