Search results for "Image Enhancement"

showing 10 items of 215 documents

Exudate-based diabetic macular edema detection in fundus images using publicly available datasets

2010

International audience; Diabetic macular edema (DME) is a common vision threatening complication of diabetic retinopathy. In a large scale screening environment DME can be assessed by detecting exudates (a type of bright lesions) in fundus images. In this work, we introduce a new methodology for diagnosis of DME using a novel set of features based on colour, wavelet decomposition and automatic lesion segmentation. These features are employed to train a classifier able to automatically diagnose DME through the presence of exudation. We present a new publicly available dataset with ground-truth data containing 169 patients from various ethnic groups and levels of DME. This and other two publi…

Databases Factualgenetic structuresFeature extractionDiabetic macular edemaHealth Informatics02 engineering and technologySensitivity and SpecificityMacular Edema030218 nuclear medicine & medical imagingPattern Recognition Automated03 medical and health sciences0302 clinical medicineWavelet decompositionWaveletImage Interpretation Computer-Assisted[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringFalse positive paradoxMedicineHumansRadiology Nuclear Medicine and imagingComputer visionGround truthDiabetic RetinopathyRadiological and Ultrasound Technologybusiness.industryReproducibility of ResultsDiabetic retinopathyExudates and Transudatesmedicine.diseaseImage EnhancementComputer Graphics and Computer-Aided Designeye diseases[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusinessClassifier (UML)AlgorithmsRetinoscopy
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An automated image analysis methodology for classifying megakaryocytes in chronic myeloproliferative disorders

2008

This work describes an automatic method for discrimination in microphotographs between normal and pathological human megakaryocytes and between two kinds of disorders of these cells. A segmentation procedure has been developed, mainly based on mathematical morphology and wavelet transform, to isolate the cells. The features of each megakaryocyte (e.g. area, perimeter and tortuosity of the cell and its nucleus, and shape complexity via elliptic Fourier transform) are used by a regression tree procedure applied twice: the first time to find the set of normal megakaryocytes and the second to distinguish between the pathologies. The output of our classifier has been compared to the interpretati…

Decision treeReproducibility of ResultHealth InformaticsMathematical morphologySensitivity and SpecificityWavelet analysiPattern Recognition Automatedsymbols.namesakeWaveletMegakaryocyteMegakaryocyteArtificial IntelligenceImage Interpretation Computer-AssistedmedicineAnimalsHumansRadiology Nuclear Medicine and imagingComputer visionSegmentationMyeloproliferative DisorderCells Cultured1707MathematicsHealth InformaticMyeloproliferative DisordersSettore INF/01 - InformaticaRadiological and Ultrasound TechnologyAnimalbusiness.industryMorphometryReproducibility of ResultsWavelet transformPattern recognitionAutomatic classification; Elliptic Fourier transform; Morphometry; Wavelet analysis; Animals; Cells Cultured; Humans; Image Enhancement; Image Interpretation Computer-Assisted; Megakaryocytes; Myeloproliferative Disorders; Pattern Recognition Automated; Reproducibility of Results; Sensitivity and Specificity; Algorithms; Artificial Intelligence; Computer Graphics and Computer-Aided Design; 1707; Radiology Nuclear Medicine and Imaging; Health Informatics; Radiological and Ultrasound TechnologyImage EnhancementComputer Graphics and Computer-Aided DesignAlgorithmFourier transformmedicine.anatomical_structuresymbolsAutomatic classificationElliptic Fourier transformComputer Vision and Pattern RecognitionArtificial intelligencebusinessMegakaryocytesClassifier (UML)AlgorithmsHumanMedical Image Analysis
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Length of endodontic files measured in digital radiographs with and without noise-suppression filters: an ex-vivo study

2011

The aim of this study is to evaluate if theoretically possible edge shifts induced by noise-suppression filters potentially occur on objects found in digital radiographs. Most manufacturers carry out noise-suppression filtering of their images before they are displayed to the user. It is not usually possible for the user to disrupt the function of the filters. The use of these filters can lead to deletion of small image structures.K-files (ISO size 06, 08, 10 and 15) were placed in the root canals of 6 human teeth located in cadaver jaw segments. File tip positions were measured on original and filtered digital images by three observers. The file position was marked on each filtered image a…

Dental InstrumentsRadiographyDentistryMandibleStandard deviationDigital imageCadaverEndodontic filesCadaverHumansRadiology Nuclear Medicine and imagingComputer visionGeneral DentistryMathematicsNoise suppressionPixelbusiness.industryResearchGeneral MedicineEquipment DesignRadiography Dental DigitalImage enhancementOtorhinolaryngologySubtraction TechniqueArtificial intelligenceDental Pulp CavitybusinessArtifactsFiltrationRoot Canal Preparation
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3D and multispectral imaging for subcutaneous veins detection.

2009

The first and perhaps most important phase of a surgical procedure is the insertion of an intravenous (IV) catheter. Currently, this is performed manually by trained personnel. In some visions of future operating rooms, however, this process is to be replaced by an automated system. Experiments to determine the best NIR wavelengths to optimize vein contrast for physiological differences such as skin tone and/or the presence of hair on the arm or wrist surface are presented. For illumination our system is composed of a mercury arc lamp coupled to a 10nm band-pass spectrometer. A structured lighting system is also coupled to our multispectral system in order to provide 3D information of the p…

Diagnostic ImagingOptics and PhotonicsComputer sciencemedia_common.quotation_subjectMultispectral imageImage processingInfusions Subcutaneouslaw.inventionCatheterizationVeinsAutomationOpticsImaging Three-DimensionallawMedical imagingImage Processing Computer-AssistedContrast (vision)Humansmedia_commonModels StatisticalSpectroscopy Near-InfraredSpectrometerOrientation (computer vision)business.industryEquipment DesignMercuryLinear discriminant analysisImage EnhancementAtomic and Molecular Physics and OpticsSpectrophotometryArc lampbusinessOptics express
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Coronary artery anomalies: incidence, pathophysiology, clinical relevance and role of diagnostic imaging

2006

Conventional coronary angiography is the gold standard for the diagnosis of coronary artery anomalies. Coronary anomalies are relatively rare findings in patients undergoing conventional coronary angiography for suspected obstructive coronary artery disease. Recently, the increasing performance of diagnostic techniques, such as electron beam tomography (EBT), magnetic resonance (MR) and, more recently, multislice computed tomography (MSCT), has enabled their application to cardiac imaging. MSCT, in particular, has a prominent role in coronary imaging due to its spatial and temporal resolution and three-dimensional capabilities. We report the incidence and pathophysiology of coronary artery …

Diagnostic Imagingmedicine.medical_specialtyCoronary Vessel AnomaliesCoronary AngiographyElectron beam tomographyMagnetic resonance angiographyCoronary artery diseaseImaging Three-DimensionalInternal medicineImage Processing Computer-AssistedmedicineMedical imagingHumansRadiology Nuclear Medicine and imagingCardiac imagingNeuroradiologymedicine.diagnostic_testbusiness.industryMagnetic resonance imagingInterventional radiologyGeneral Medicinemedicine.diseaseRadiographic Image EnhancementEchocardiographyCardiologyRadiologyTomography X-Ray ComputedbusinessMagnetic Resonance Angiography
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Budd-Chiari Syndrome: Spectrum of Imaging Findings

2007

OBJECTIVE: The objective of our study was to illustrate the imaging findings of Budd-Chiari syndrome, including CT, MRI, sonographic, and angiographic findings. CONCLUSION: The key imaging findings in Budd-Chiari syndrome are occlusion of the hepatic veins, inferior vena cava, or both; caudate lobe enlargement; inhomogeneous liver enhancement; and the presence of intrahepatic collateral vessels and hypervascular nodules. Awareness of these findings is important for early diagnosis and appropriate treatment.

Diagnostic Imagingmedicine.medical_specialtyPractice patternsbusiness.industryGeneral MedicineBudd-Chiari SyndromeImage Enhancementmedicine.diseaseInferior vena cavaLiver diseasemedicine.veinPractice Guidelines as TopicHepatic veinsOcclusioncardiovascular systemmedicineBudd–Chiari syndromeHumansCaudate lobeRadiology Nuclear Medicine and imagingRadiologyPractice Patterns Physicians'Collateral vesselsbusinessAmerican Journal of Roentgenology
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Physics, Techniques and Review of Neuroradiological Applications of Diffusion Kurtosis Imaging (DKI)

2016

In recent years many papers about diagnostic applications of diffusion tensor imaging (DTI) have been published. This is because DTI allows to evaluate in vivo and in a non-invasive way the process of diffusion of water molecules in biological tissues. However, the simplified description of the diffusion process assumed in DTI does not permit to completely map the complex underlying cellular components and structures, which hinder and restrict the diffusion of water molecules. These limitations can be partially overcome by means of diffusion kurtosis imaging (DKI). The aim of this paper is the description of the theory of DKI, a new topic of growing interest in radiology. DKI is a higher or…

Diffusion tensor imaging (DTI)computer.software_genreSensitivity and Specificity030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineSettore MED/36 - Diagnostica per Immagini e RadioterapiaImage Interpretation Computer-AssistedHumansPreprocessorRadiology Nuclear Medicine and imagingMagnetic resonance imaging (MRI)Diffusion (business)DKIDiffusion Kurtosis ImagingParametric statisticsPhysicsBrain DiseasesDiffusion weighted imaging (DWI)Reproducibility of ResultsBrainSettore MED/37 - NeuroradiologiaImage EnhancementWhite MatterSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Acquisition ProtocolDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingNeuroradiologyDiffusion processDTIDWI NeuroradiologyDiffusional kurtosis imaging (DKI)Settore MED/26 - NeurologiaNeurology (clinical)Data miningBrain; Diffusion tensor imaging (DTI); Diffusion weighted imaging (DWI); Diffusional kurtosis imaging (DKI); Magnetic resonance imaging (MRI); NeuroradiologycomputerAlgorithms030217 neurology & neurosurgeryMRIDiffusion MRIClinical Neuroradiology
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Batch Methods for Resolution Enhancement of TIR Image Sequences

2015

Thermal infrared (TIR) time series are exploited by many methods based on Earth observation (EO), for such applications as agriculture, forest management, and meteorology. However, due to physical limitations, data acquired by a single sensor are often unsatisfactory in terms of spatial or temporal resolution. This issue can be tackled by using remotely sensed data acquired by multiple sensors with complementary features. When nonreal-time functioning or at least near real-time functioning is admitted, the measurements can be profitably fed to a sequential Bayesian algorithm, which allows to account for the correlation embedded in the successive acquisitions. In this work, we focus on appli…

Earth observationAtmospheric ScienceBayesian smoothing methodComputer scienceBayesian probabilityInterval (mathematics)Thermal imagecomputer.software_genreremote sensingComputers in Earth ScienceSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliComputer visionimage enhancementComputers in Earth SciencesImage resolutionThermal imagesbusiness.industrySettore ING-INF/03 - TelecomunicazioniSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaBayesian smoothing methodsinterpolationTemporal resolutioncloud detectionBatch processingBayesian smoothing methods; cloud detection; image enhancement; interpolation; remote sensing; Thermal images; Computers in Earth Sciences; Atmospheric ScienceData miningArtificial intelligencebusinessFocus (optics)computerSmoothingSettore ICAR/06 - Topografia E Cartografia
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FOCAL LIVER LESIONS: CONTRAST-ENHANCED ULTRASOUND

2008

Contrast-enhanced ultrasound (CEUS) represents a significant breakthrough in sonography and it is being increasingly used for evaluation of focal liver lesions (FLLs). The unique feature of CEUS of non-invasively assessing in real time liver perfusion throughout the vascular phase has led to a dramatic improvement in diagnostic accuracy of US in either detection and characterization of FLLs, as well as in the guidance and evaluation of response of therapeutic procedures. Currently, CEUS is included as a part of the suggested diagnostic work-up of FLLs, resulting in a better patient management and cost-effective therapy delivering. After a brief description of the basis of different CEUS tec…

Echinococcosis HepaticLiver perfusionmedicine.medical_specialtyUrologyLiver AbscessClinical settingsDiagnostic accuracySensitivity and SpecificityLiver neoplasmAdenoma Liver CellLiver diseaseInternal medicinemedicineHumansRadiology Nuclear Medicine and imagingUltrasonography Doppler ColorUltrasound contrast mediaRadiological and Ultrasound TechnologyCystsbusiness.industryLiver DiseasesLiver NeoplasmsUltrasoundGastroenterologyUltrasonography DopplerGeneral MedicineHepatologyImage Enhancementmedicine.diseaseContrast-enhanced sonographyPatient managementFatty LiverFocal Nodular HyperplasiaUltrasonography Doppler PulsedRadiologyLiver sonographyHemangiomabusinessSettore MED/36 - Diagnostica Per Immagini E RadioterapiaLiver diseaseContrast-enhanced ultrasound
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Dental anatomy portrayed with microscopic volume investigations

1993

The clinical treatment of the root canal of teeth--called endodontics--assumes a precise idea of the spatial arrangement of the anatomy of teeth and their inner structure. By using computer-assisted data acquisition from filmed sequences of histologic serial sections and a special kind of magnetic resonance microscope--the Stray Field Imaging (STRAFI)--volume investigations were carried out using special functions of a newly developed 3D software. Possible applications and future perspectives are discussed.

Engineering drawingDental anatomyComputer scienceHealth InformaticsTooth rootImage Processing Computer-AssistedHumansRadiology Nuclear Medicine and imagingTooth RootClinical treatmentDental PulpMicroscopyData displayRadiological and Ultrasound Technologybusiness.industryVolume renderingImage enhancementImage EnhancementMagnetic Resonance ImagingMolarComputer Graphics and Computer-Aided DesignData DisplayComputer Vision and Pattern RecognitionDental Pulp CavityNuclear medicinebusinessToothSoftwareVolume (compression)Computerized Medical Imaging and Graphics
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