0000000000305891

AUTHOR

J. Graeme Houston

showing 2 related works from this author

Comparative ergonomic workflow and user experience analysis of MRI versus fluoroscopy-guided vascular interventions: an iliac angioplasty exemplar ca…

2014

A methodological framework is introduced to assess and compare a conventional fluoroscopy protocol for peripheral angioplasty with a new magnetic resonant imaging (MRI)-guided protocol. Different scenarios were considered during interventions on a perfused arterial phantom with regard to time-based and cognitive task analysis, user experience and ergonomics. Three clinicians with different expertise performed a total of 43 simulated common iliac angioplasties (9 fluoroscopic, 34 MRI-guided) in two blocks of sessions. Six different configurations for MRI guidance were tested in the first block. Four of them were evaluated in the second block and compared to the fluoroscopy protocol. Relevant…

medicine.medical_specialtymedicine.medical_treatmentBiomedical EngineeringHealth InformaticsProtocol analysisImaging phantomWorkflowUser experience designAngioplastymedicineFluoroscopyHumansRadiology Nuclear Medicine and imagingMedical physicsComputer SimulationRetrospective StudiesProtocol (science)medicine.diagnostic_testbusiness.industryAngioplastyGeneral MedicineComputer Graphics and Computer-Aided DesignMagnetic Resonance ImagingComputer Science ApplicationsWorkflowSurgery Computer-AssistedFluoroscopyIliac AneurysmTask analysisSurgeryComputer Vision and Pattern RecognitionRadiologyErgonomicsbusiness
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Blood vessel segmentation and width estimation in ultra-wide field scanning laser ophthalmoscopy.

2014

Features of the retinal vasculature, such as vessel widths, are considered biomarkers for systemic disease. The aim of this work is to present a supervised approach to vessel segmentation in ultra-wide field of view scanning laser ophthalmoscope (UWFoV SLO) images and to evaluate its performance in terms of segmentation and vessel width estimation accuracy. The results of the proposed method are compared with ground truth measurements from human observers and with existing state-of-the-art techniques developed for fundus camera images that we optimized for UWFoV SLO images. Our algorithm is based on multi-scale matched filters, a neural network classifier and hysteresis thresholding. After …

Ground truthArtificial neural networkLaser scanningComputer sciencebusiness.industryMatched filterComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONField of viewAtomic and Molecular Physics and OpticsArticleScanning laser ophthalmoscopySpline (mathematics)SegmentationComputer visionArtificial intelligencebusinessBiotechnologyBiomedical optics express
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