2025
Evaluation of navigation and robotic systems for percutaneous image-guided interventions: A novel metric for advanced imaging and artificial intelligence integration
Cornelis F, Filippiadis D, Wiggermann P, Solomon S, Madoff D, Milot L, Bodard S. Evaluation of navigation and robotic systems for percutaneous image-guided interventions: A novel metric for advanced imaging and artificial intelligence integration. Diagnostic And Interventional Imaging 2025, 106: 157-168. PMID: 39884887, DOI: 10.1016/j.diii.2025.01.004.Peer-Reviewed Original ResearchPercutaneous image-guided interventionsArtificial intelligenceRobotic systemImage-guided interventionsNovel metricAdvanced imagingIntegration of advanced imagingArtificial intelligence integrationLevel of automationEvaluation of navigationIntelligent integrationLevel of autonomySurgical robotRobotic devicesNavigationIntegration of imaging technologyNavigation systemNavigation devicesWeb of Science databasesCochrane LibraryIntelligencePRISMA guidelinesAutomationMetricsAggregate score
2024
Connectomic reconstruction predicts visual features used for navigation
Garner D, Kind E, Lai J, Nern A, Zhao A, Houghton L, Sancer G, Wolff T, Rubin G, Wernet M, Kim S. Connectomic reconstruction predicts visual features used for navigation. Nature 2024, 634: 181-190. PMID: 39358517, PMCID: PMC11446847, DOI: 10.1038/s41586-024-07967-z.Peer-Reviewed Original ResearchConceptsVisual featuresAnterior visual pathwayClasses of neuronsOptic lobeAnterior optic tubercleLocation of synapsesER neuronsDrosophila melanogasterOptic tubercleAVPPresynaptic connectionsVisual informationCentral brainNeuronsConnectome reconstructionVisual pathwayNavigation systemCentral complexPostsynaptic connectionsMedullaNeural classInformation channelsDendritic fieldsNavigationVisual input
2009
From medical image computing to computer‐aided intervention: development of a research interface for image‐guided navigation
Papademetris X, DeLorenzo C, Flossmann S, Neff M, Vives KP, Spencer DD, Staib LH, Duncan JS. From medical image computing to computer‐aided intervention: development of a research interface for image‐guided navigation. International Journal Of Medical Robotics And Computer Assisted Surgery 2009, 5: 147-157. PMID: 19301361, PMCID: PMC2796181, DOI: 10.1002/rcs.241.Peer-Reviewed Original ResearchConceptsResearch interfaceNavigation systemApplication programming interfaceDual computer systemComputer-aided interventionsSurgery navigation systemImage-guided navigation systemProgramming interfaceClient programNetwork interfacesMedical imagesImage-guided navigationResearch softwareReal timeViable solutionSoftwareImage analysis softwareTool positionVersatile linkAnalysis softwareImagesInterfaceNavigationSystemResearch techniques
2002
Model-driven brain shift compensation
Škrinjar O, Nabavi A, Duncan J. Model-driven brain shift compensation. Medical Image Analysis 2002, 6: 361-373. PMID: 12494947, DOI: 10.1016/s1361-8415(02)00062-2.Peer-Reviewed Original ResearchConceptsBrain shift compensationShift compensationIntraoperative surface dataIntraoperative brain deformationSpring-mass modelContinuum mechanicsBrain deformationNavigation systemSame coordinate systemDeformationSurface dataBrain shiftMR image sequencesCoordinate systemImage sequencesSurgical navigation systemDominant errorCompensationPartial validationFull volumeSystemError
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