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A learning-based method for online adjustment of C-arm Cone-beam CT source trajectories for artifact avoidance

International Journal of Computer Assisted Radiology and Surgery(2020)10.1007/s11548-020-02249-1Source: DataRank Database

A learning-based method for online adjustment of C-arm Cone-beam CT source trajectories for artifact avoidance is a research paper published in International Journal of Computer Assisted Radiology and Surgery (2020). On theSindex it has a DataRank of 0. It has been cited 1 time.

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Linked data & code

A Learning-based Method for Online Adjustment of C-arm Cone-Beam CT Source Trajectories for Artifact Avoidance · arXiv

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (6 grants)Impact (FWCI 0.11)OA: hybridTopics (65)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed, PMC, OpenAlex)

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Context only (not used in score)

Findable (2/2)

Has DOI
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Accessible (1/2)

Open Access

Interoperable (2/2)

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Reusable (0/3)

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Authors (7)

Jan-Nico Zäch,Cong Gao ORCID,Russell H. Taylor ORCID,Nassir Navab ORCID,Andreas Maier ORCID

Live enrichment

PubMed:32840721 PMC:PMC7603453 OpenAlex:https://openalex.org/W3049639114

National Institutes of Health

Grant: R21 EB028505

NIBIB NIH HHS

Grant: R01 EB023939

NIBIB NIH HHS

Grant: R01 EB016703

National Institutes of Health

Grant: 5R01EB023939-02

Robot-Assisted Femoroplasty with Intraoperative Biomechanical Feedback

National Institutes of Health

Grant: 5R01EB016703-03

Image-Guided Workstation and Tools for the Treatment of Bone Defects

National Institutes of Health

Grant: 1R21EB028505-01A1

Task-aware and Autonomous Robotic C-arm Servoing for Flouroscopy-guided Interventions

FWCI

0.11

Citation Percentile

0.5%

Citation Trend

2022

hybridLicense: cc-by

journalhttps://link.springer.com/content/pdf/10.1007/s11548-020-02249-1.pdf

publisherhttps://link.springer.com/content/pdf/10.1007/s11548-020-02249-1.pdf

publisherhttps://link.springer.com/article/10.1007/s11548-020-02249-1/fulltext.html

journalhttps://doi.org/10.1007/s11548-020-02249-1

repositoryhttps://pubmed.ncbi.nlm.nih.gov/32840721

Fields of Study

Medical Imaging Techniques and ApplicationsAdvanced X-ray and CT ImagingDental Radiography and Imaging03 medical and health sciences0302 clinical medicineArtifactsCone-Beam Computed TomographyHumansImage Processing, Computer-AssistedNeural Networks, ComputerPedicle ScrewsPhantoms, ImagingSpinal FusionSpineSurgery, Computer-Assisted

MeSH Terms

HumansImage Processing, Computer-AssistedSpinal FusionSpineArtifactsNeural Networks, ComputerPhantoms, ImagingSurgery, Computer-AssistedCone-Beam Computed TomographyPedicle Screws

Keywords

Imaging phantomComputer scienceConvolutional neural networkArtifact (error)Computer visionArtificial intelligenceTrajectoryCone beam computed tomographyImage qualityCone beam ctIterative reconstructionImage (mathematics)Computed tomographyNuclear medicineMedicineRadiologyPhysicsImage-guided SurgeryMetal Artifact ReductionDeep LearningTomographic ReconstructionFOS: Computer and information sciencesPhantoms, ImagingComputer Vision and Pattern Recognition (cs.CV)Image and Video Processing (eess.IV)Computer Science - Computer Vision and Pattern RecognitionElectrical Engineering and Systems Science - Image and Video ProcessingCone-Beam Computed TomographyTomographic reconstruction; Metal artifact reduction; Deep learning; Image-guided surgerySpineDDC Classification::0 Informatik, Informationswissenschaft, allgemeine Werke :: 00 Informatik, Wissen, Systeme :: 000 Informatik, Informationswissenschaft, allgemeine WerkeSpinal FusionSurgery, Computer-AssistedPedicle ScrewsImage Processing, Computer-AssistedFOS: Electrical engineering, electronic engineering, information engineeringHumansOriginal ArticleNeural Networks, ComputerArtifacts

A Learning-based Method for Online Adjustment of C-arm Cone-Beam CT Source Trajectories for Artifact Avoidance

10.48550/arxiv.2008.06262arXiv