Search results for "Retinal Vessel"

showing 10 items of 46 documents

Involvement of plasmalogens in post-natal retinal vascular development

2014

Objective: Proper development of retinal blood vessels is essential to ensure sufficient oxygen and nutrient supplies to the retina. It was shown that polyunsaturated fatty acids (PUFAs) could modulate factors involved in tissue vascularization. A congenital deficiency in ether-phospholipids, also termed "plasmalogens'', was shown to lead to abnormal ocular vascularization. Because plasmalogens are considered to be reservoirs of PUFAs, we wished to improve our understanding of the mechanisms by which plasmalogens regulate retinal vascular development and whether the release of PUFAs by calcium-independent phospholipase A2 (iPLA2) could be involved. [br/] Methods and Results: By characterizi…

MaleretinaOrganes des sensAngiogenesis[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutritionlcsh:MedicineRetinal NeovascularizationBiochemistryImmunoenzyme TechniquesMicechemistry.chemical_compoundangiogenesisMedicine and Health Sciencesangiogenesis;astrocytes;capillaries;endothelial cells;gene expression;phospholipids;retina;retinal vesselscapillarieslcsh:ScienceCells CulturedOligonucleotide Array Sequence AnalysisMice KnockoutMultidisciplinarymedicine.diagnostic_testReverse Transcriptase Polymerase Chain ReactionLipidsendothelial cellsCell biologyEndothelial stem cellmedicine.anatomical_structureBiochemistry[ SDV.MHEP.OS ] Life Sciences [q-bio]/Human health and pathology/Sensory OrgansAlimentation et NutritionFatty Acids UnsaturatedRetinal DisordersFemaleResearch ArticleAstrocyteEndotheliumSensory OrgansPlasmalogensBiologyReal-Time Polymerase Chain ReactionGroup VI Phospholipases A2AngiopoietinElectroretinographymedicineFood and NutritionAnimalsRNA Messenger[SDV.MHEP.OS]Life Sciences [q-bio]/Human health and pathology/Sensory OrgansphospholipidsRetinaGene Expression Profilinglcsh:Rretinal vesselsastrocytesBiology and Life SciencesRetinalMice Inbred C57BLOphthalmologyAnimals Newbornchemistrygene expressionlcsh:QEndothelium Vascular[SDV.AEN]Life Sciences [q-bio]/Food and NutritionAcyltransferasesBiomarkersDevelopmental BiologyElectroretinography
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VAMPIRE: Vessel assessment and measurement platform for images of the REtina

2011

We present VAMPIRE, a software application for efficient, semi-automatic quantification of retinal vessel properties with large collections of fundus camera images. VAMPIRE is also an international collaborative project of four image processing groups and five clinical centres. The system provides automatic detection of retinal landmarks (optic disc, vasculature), and quantifies key parameters used frequently in investigative studies: vessel width, vessel branching coefficients, and tortuosity. The ultimate vision is to make VAMPIRE available as a public tool, to support quantification and analysis of large collections of fundus camera images.

Opthalmology; image processing; retinaEngineeringVesselgenetic structuresOpthalmologyImage processingRetinal ImagesRetinaRetina; Image; VesselSoftwareMedical imagingmedicineHumansSegmentationComputer visionRetinaSettore INF/01 - Informaticabusiness.industryVampireRetinal VesselsImage segmentationeye diseasesimage processingFractalsVAMPIREmedicine.anatomical_structureImageArtificial intelligenceAdvanced image processing and mathematical modeling techniquesbusinessOptic disc2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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A visual framework to create photorealistic retinal vessels for diagnosis purposes

2020

The methods developed in recent years for synthesising an ocular fundus can be been divided into two main categories. The first category of methods involves the development of an anatomical model of the eye, where artificial images are generated using appropriate parameters for modelling the vascular networks and fundus. The second type of method has been made possible by the development of deep learning techniques and improvements in the performance of hardware (especially graphics cards equipped with a large number of cores). The methodology proposed here to produce high-resolution synthetic fundus images is intended to be an alternative to the increasingly widespread use of generative ad…

PLUS DISEASEData augmentationFundus OculiComputer scienceCOMPUTER-AIDED DIAGNOSISIMAGESSEGMENTATIONComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONHealth InformaticsSynthetic retinal imageFundus (eye)Fundus image analysisStatistical featuresTORTUOSITY03 medical and health sciences0302 clinical medicineImage Processing Computer-AssistedComputer vision030212 general & internal medicineGraphics030304 developmental biologyGraphical user interfaceSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioni0303 health sciencesSettore INF/01 - Informaticabusiness.industryDeep learningRetinal VesselsReal imageComputer Science ApplicationsPredictive evaluation diseasesFILTERA priori and a posterioriArtificial intelligencebusinessSYSTEMJournal of Biomedical Informatics
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Norrie gene product is necessary for regression of hyaloid vessels.

2004

To investigate the nature and origin of the vitreous membranes in mice with knock-out of the Norrie gene product (ND mice).Eighty-two eyes of ND mice of different age groups (postnatal day [P]0-13 months) and 95 age-matched wild-type control mice were investigated. In vitreoretinal wholemounts and in sagittal sections, vessels and free cells were visualized by labeling for lectin. In addition, staining with a marker for macrophages (F4/80) and collagen XVIII/endostatin known to be involved in regression of hyaloid vessels was performed for light and electron microscopic investigations. Endostatin expression was confirmed by Western blot analysis.Wild-type controls showed the typical pattern…

Pathologymedicine.medical_specialtygenetic structuresAngiogenesisBlotting WesternNerve Tissue ProteinsBiologyRetinal NeovascularizationBlindnessGene productchemistry.chemical_compoundMiceVasculogenesismedicineAnimalsEye AbnormalitiesEye ProteinsMicroscopy ImmunoelectronMice KnockoutMembranesRetinal DegenerationRetinal VesselsRetinalGenetic Diseases X-LinkedAnatomyAntigens Differentiationeye diseasesEndostatinsVitreous Bodymedicine.anatomical_structurechemistryCirculatory systemcardiovascular systemsense organsEndostatinBlood vesselInvestigative ophthalmologyvisual science
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Unsupervised recognition of retinal vascular junction points.

2014

Landmark points in retinal images can be used to create a graph representation to understand and to diagnose not only different pathologies of the eye, but also a variety of more general diseases. Aim of this paper is the description of a non-supervised methodology to distinguish between bifurcations and crossings of the retinal vessels, which can be used in differentiating between arteries and veins. A thinned representation of the binarized image, is used to identify pixels with three or more neighbors. Junction points are classified into bifurcations or crossovers according to their geometrical and topological properties. The proposed approach is successfully compared with the state-of-t…

PixelSettore INF/01 - InformaticaComputer sciencebusiness.industryRetinal VesselsRetinalSensitivity and SpecificityImage (mathematics)Pattern Recognition Automatedchemistry.chemical_compoundUnsupervised Recognition of Retinal Vascular Junction PointschemistryImage Interpretation Computer-AssistedHumansComputer visionArtificial intelligenceRepresentation (mathematics)businessAlgorithmsAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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Transient reduction of the ocular perfusion pressure and the oscillatory potentials of the ERG

2005

Abstract Purpose. To evaluate the changes of the Oscillatory Potentials (OPs) of Electroretinogram (ERG) caused by short-term hypertension in human subjects, and their relationship with ocular perfusion pressure (OPP). Methods. Suction cup technique in 12 normal volunteers with OPs simultaneously recording. Results. Scotopic and photopic OPs were altered during OPP drop. Scotopic OPs showed more sensitiveness, with higher reduction (from 21% to 47%), when compared to the basal value, than in photopic recordings (from 14% to 34%). In both conditions, the relationship between OPP and OPs presented a steady amplitude before the trough after the +30 step, and rapid recovery after OPP normalisat…

Pressure testAdultMaleIntraocular pressuremedicine.medical_specialtyOcular hypertensionchemistry.chemical_compoundOpticsOphthalmologyElectroretinographymedicineHomeostasisHumansScotopic visionOscillatory potentialIntraocular Pressuremedicine.diagnostic_testbusiness.industryRetinal VesselsRetinalElectroretinogrammedicine.diseaseSensory SystemsOcular perfusion pressureOphthalmologyElectrophysiologychemistryRegional Blood FlowFemaleOcular Hypertensionsense organsbusinessErgElectroretinographyPhotopic visionVision Research
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Stable Automatic Unsupervised Segmentation of Retinal Vessels Using Self-Organizing Maps and a Modified Fuzzy C-Means Clustering

2011

In this paper an automatic unsupervised method for the segmentation of retinal vessels is proposed. Three features are extracted from the tested image. The features are scaled down by a factor of 2 and mapped into a Self-Organizing Map. A modified Fuzzy C-Means clustering algorithm is used to divide the neuron units of the map in 2 classes. The entire image is again input for the Self-Organizing Map and the class of each pixel will be the class of its best matching unit in the Self-Organizing Map. Finally, the vessel network is post-processed using a hill climbing strategy on the connected components of the segmented image. The experimental evaluation on the DRIVE database shows accurate ex…

Self-organizing mapGround truthPixelSettore INF/01 - Informaticabusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONScale-space segmentationPattern recognitionFuzzy logicComputer visionSegmentationArtificial intelligenceCluster analysisbusinessHill climbingRetinal Vessels Self-Organizing Map Fuzzy C-Means.
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Automatic Unsupervised Segmentation of Retinal Vessels Using Self-Organizing Maps and K-Means Clustering

2011

In this paper an automatic unsupervised method for the segmentation of retinal vessels is proposed. A Self-Organizing Map is trained on a portion of the same image that is tested and K-means clustering algorithm is used to divide the map units in 2 classes. The entire image is again input for the Self-Organizing Map, and the class of each pixel will be the class of the best matching unit on the Self-Organizing Map. Finally, the vessel network is post-processed using a hill climbing strategy on the connected components of the segmented image. The experimental evaluation on the publicly available DRIVE database shows accurate extraction of vessels network and a good agreement between our segm…

Self-organizing mapGround truthSettore INF/01 - InformaticaPixelbusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONk-means clusteringScale-space segmentationPattern recognitionRetinal vessels Self-Organizing Map K-MeansSegmentationComputer visionArtificial intelligenceCluster analysisbusinessHill climbing
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A multiscale approach to automatic and unsupervised retinal vessel segmentation using Self-Organizing Maps

2016

In this paper an automatic unsupervised method for retinal vessel segmentation is described. Self-Organizing Map, modified Fuzzy C-Means, STAPLE algorithms and majority voting strategy were adopted to identify a segmentation of the retinal vessels. The performance of the proposed method was evaluated on the DRIVE database.

Self-organizing mapMajority ruleComputer science0206 medical engineeringComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologySelf-organizing mapFuzzy logicCLAHE030218 nuclear medicine & medical imagingRetinal vessel03 medical and health scienceschemistry.chemical_compound0302 clinical medicineMajority votingSegmentationComputer visionComputingMethodologies_COMPUTERGRAPHICSFuzzy C-Mean1707Settore INF/01 - Informaticabusiness.industrySTAPLERetinal020601 biomedical engineeringRetinal vesselHuman-Computer InteractionComputer Networks and CommunicationchemistryAdaptive histogram equalizationArtificial intelligencebusinessSoftware
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Blood vessels and feature points detection on retinal images

2009

In this paper we present a method for the automatic extraction of blood vessels from retinal images, while capturing points of intersection/overlap and endpoints of the vascular tree. The algorithm performance is evaluated through a comparison with handmade segmented images available on the STARE project database (STructured Analysis of the REtina). The algorithm is performed on the green channel of the RGB triad. The green channel can be used to represent the illumination component. The matched filter is used to enhance vessels w.r.t. the background. The separation between vessels and background is accomplished by a threshold operator based on gaussian probability density function. The len…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniChannel (digital image)Pixelbusiness.industryMatched filterGaussianRetinal VesselsSensitivity and SpecificityRetinaIntersection (Euclidean geometry)Pattern Recognition AutomatedTree (data structure)symbols.namesakevessels feature detectionFeature (computer vision)Image Interpretation Computer-AssistedsymbolsHumansRGB color modelComputer visionArtificial intelligencebusinessAlgorithmsMathematics2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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