Search results for "pattern recognition"

showing 10 items of 2301 documents

Extract Mismatch Negativity and P3a through Two-Dimensional Nonnegative Decomposition on Time-Frequency Represented Event-Related Potentials

2010

This study compares the row-wise unfolding nonnegative tensor factorization (NTF) and the standard nonnegative matrix factorization (NMF) in extracting time-frequency represented event-related potentials—mismatch negativity (MMN) and P3a from EEG under the two-dimensional decomposition The criterion to judge performance of NMF and NTF is based on psychology knowledge of MMN and P3a MMN is elicited by an oddball paradigm and may be proportionally modulated by the attention So, participants are usually instructed to ignore the stimuli However the deviant stimulus inevitably attracts some attention of the participant towards the stimuli Thus, P3a often follows MMN As a result, if P3a was large…

medicine.diagnostic_testbusiness.industrySpeech recognitionMismatch negativityPattern recognitionElectroencephalographyNon-negative matrix factorizationTime–frequency analysisP3aEvent-related potentialFeature (machine learning)medicineArtificial intelligencebusinessOddball paradigmMathematics
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Ocular counterrolling. Some practical considerations of a new evaluation method for diagnostic purposes.

1986

Ocular counterrolling (OCR) data taken from the literature (12 publications) were used to test the best fit (least-square fit) of these measurements with respect to three mathematical models: a sine relation between OCR and the lateral tilt stimulus, a complex cosine-square relation, and a logarithmic relation between OCR gain and tilt. The latter proved to be the best fitting function. On the basis of this model, we attempted to define a physiological transfer function between OCR gain and tilt, which could serve as a reference of normal population, assuming healthy subjects for the investigations applied. Comparison of this physiological range with pathological data demonstrated marked di…

medicine.medical_specialtyBest fittingMathematical modelLogarithmEye MovementsComputer sciencebusiness.industryNormal populationPattern recognitionGeneral MedicineVestibular Function TestsTransfer functionModels BiologicalSurgeryOtolithic MembraneOtorhinolaryngologyComputer Science::Computer Vision and Pattern RecognitionEvaluation methodsmedicineCurve fittingHumansArtificial intelligencebusinessOcular counterrollingActa oto-laryngologica
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Primary ciliary dyskinesia assessment by means of optical flow analysis of phase-contrast microscopy images

2014

Primary ciliary dyskinesia implies cilia with defective or total absence of motility, which may result in sinusitis, chronic bronchitis, bronchiectasis and male infertility. Diagnosis can be difficult and is based on an abnormal ciliary beat frequency (CBF) and beat pattern. In this paper, we present a method to determine CBF of isolated cells through the analysis of phase-contrast microscopy images, estimating cilia motion by means of an optical flow algorithm. After having analyzed 28 image sequences (14 with a normal beat pattern and 14 with a dyskinetic pattern), the normal group presented a CBF of 5.2 +/- 1.6 Hz, while the dyskinetic patients presented a 1.9 +/- 0.9 Hz CBF. The cutoff …

medicine.medical_specialtyChronic bronchitisPhase contrast microscopyOptical flowBeat (acoustics)Health InformaticsSensitivity and SpecificityPattern Recognition Automatedlaw.inventionTECNOLOGIA ELECTRONICAPrimary ciliary dyskinesialawOphthalmologyImage Interpretation Computer-AssistedMicroscopymedicineHumansMicroscopy Phase-ContrastRadiology Nuclear Medicine and imagingPrimary ciliary dyskinesiaMicroscopy VideoBronchiectasisRadiological and Ultrasound Technologybusiness.industryCiliumOptical flowActive contoursReproducibility of ResultsAnatomyImage Enhancementmedicine.diseaseComputer Graphics and Computer-Aided DesignCell TrackingSubtraction TechniqueFISICA APLICADABeat frequencyComputer Vision and Pattern RecognitionbusinessMATEMATICA APLICADAAlgorithmsFourier-Mellin transformCiliary Motility Disorders
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A Multi-Variate Predictability Framework to Assess Invasive Cardiac Activity and Interactions during Atrial Fibrillation

2017

Objective: This study introduces a predictability framework based on the concept of Granger causality (GC), in order to analyze the activity and interactions between different intracardiac sites during atrial fibrillation (AF). Methods: GC-based interactions were studied using a three-electrode analysis scheme with multi-variate autoregressive models of the involved preprocessed intracardiac signals. The method was evaluated in different scenarios covering simulations of complex atrial activity as well as endocardial signals acquired from patients. Results: The results illustrate the ability of the method to determine atrial rhythm complexity and to track and map propagation during AF. Conc…

medicine.medical_specialtyComputer science0206 medical engineeringAtrial fibrillation (AF)Biomedical EngineeringCardiac activity02 engineering and technology030204 cardiovascular system & hematologyIntracardiac injectionmulti-variate autoregressive (MVAR) modeling03 medical and health sciences0302 clinical medicineHeart Conduction SystemInternal medicineAtrial Fibrillationmultielectrode cathetermedicineHumansComputer SimulationPredictabilityModels Statisticalbusiness.industryBody Surface Potential MappingModels CardiovascularPattern recognitionAtrial fibrillationmedicine.disease020601 biomedical engineeringRandom variateAutoregressive modelData Interpretation Statisticalbipolar electrograms (EGMs)Multivariate AnalysisSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaCardiologyGranger causality (GC)Artificial intelligencebusiness
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Laser illumination designs for snapshot multi-spectral-line imaging

2019

For multi-spectral imaging, both acquisition time of the spectral image set and the spectral bandwidth of each image have to be minimized. Ultimate performance can be achieved if the set of monochromatic (single-wavelength) spectral images is obtained with a single snapshot — a technique provisionally called "snapshot multi-spectral-line imaging" or SMSLI. Using contemporary RGB colour cameras, up to three spectral line images can be extracted from a snapshot image data cube at specific illumination that comprises only three spectral lines, each of them positioned within one of the detection bands (R, G or B) [1]. Techniques able to provide more spectral line images are under development, a…

medicine.medical_specialtyComputer sciencebusiness.industryData_MISCELLANEOUSMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONLaser01 natural sciencesSpectral linelaw.inventionSpectral imaging010309 opticsData cubeOpticslawComputer Science::Computer Vision and Pattern Recognition0103 physical sciencesmedicineRGB color modelSnapshot (computer storage)Monochromatic colorbusiness
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Single snapshot RGB multispectral imaging at fixed wavelengths: proof of concept

2014

A concept of single snapshot multispectral imaging by standard RGB image sensors under spectrally-specific illumination comprising a fixed number of narrow spectral lines is discussed and experimentally validated. The limiting conditions, RGB band spectral crosstalk corrections and potential applications for parametric mapping of skin are regarded, along with the preliminary results of the proof-of-concept measurements.

medicine.medical_specialtyComputer sciencebusiness.industryMultispectral imageSpectral lineSpectral imagingWavelengthOpticsProof of conceptComputer Science::Computer Vision and Pattern RecognitionmedicineRGB color modelSnapshot (computer storage)businessParametric statisticsSPIE Proceedings
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A fully automatic 2D segmentation method for uterine fibroid in MRgFUS treatment evaluation

2015

PurposeMagnetic Resonance guided Focused UltraSound (MRgFUS) represents a non-invasive surgical approach that uses thermal ablation to treat uterine fibroids. After the MRgFUS treatment, an operator must manually segment the treated fibroid areas to evaluate the NonPerfused Volume (NPV). This manual approach is operator-dependent, introducing issues of result reproducibility, which could lead to errors in the subsequent follow-up phase. Moreover, manual segmentation is time-consuming, and can have a negative impact on the optimization of both machine-time and operator-time. MethodTo address these issues, in this paper a novel fully automatic method based on the unsupervised Fuzzy C-Means cl…

medicine.medical_specialtyDatabases FactualUterine fibroidsComputer scienceAdaptive thresholdingImage ProcessingAdaptive thresholding; Automatic segmentation; Fuzzy C-Means clustering; MRgFUS treatment; Uterine fibroids; Female; Humans; Image Processing Computer-Assisted; Leiomyoma; Radiography; Algorithms; Databases Factual; Magnetic Resonance Imaging; Ultrasonography InterventionalHealth InformaticsFuzzy logicDatabasesComputer-AssistedImage Processing Computer-AssistedmedicineHumansSegmentationCluster analysisFactualUltrasonography InterventionalUltrasonographySettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniInterventionalLeiomyomaPixelbusiness.industryPattern recognitionmedicine.diseaseMagnetic Resonance ImagingFuzzy C-Means clusteringComputer Science ApplicationsSurgeryRadiographyTreatment evaluationMRgFUS treatmentFully automaticFemaleManual segmentationArtificial intelligenceAutomatic segmentationAdaptive thresholding Automatic segmentation Fuzzy C-Means clustering MRgFUS treatment Uterine fibroidsbusinessAlgorithmsUterine fibroids
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HDR Imaging Pipeline for Spectral Filter Array Cameras

2017

Multispectral single shot imaging systems can benefit computer vision applications in needs of a compact and affordable imaging system. Spectral filter arrays technology meets the requirement, but can lead to artifacts due to inhomogeneous intensity levels between spectral channels due to filter manufacturing constraints, illumination and object properties. One solution to solve this problem is to use high dynamic range imaging techniques on these sensors. We define a spectral imaging pipeline that incorporates high dynamic range, demosaicing and color image visualization. Qualitative evaluation is based on real images captured with a prototype of spectral filter array sensor in the visible…

medicine.medical_specialtyDemosaicingColor imageComputer sciencebusiness.industryMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION020206 networking & telecommunications02 engineering and technologyReal imageSpectral imagingHigh-dynamic-range imagingFilter (video)Computer Science::Computer Vision and Pattern Recognition0202 electrical engineering electronic engineering information engineeringmedicine020201 artificial intelligence & image processingComputer visionArtificial intelligencebusinessHigh dynamic range
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Clinical support in radiation therapy scenarios: MR brain tumor segmentation using an unsupervised fuzzy C-Means clustering technique

2016

medicine.medical_specialtyMR segmentationComputer sciencemedicine.medical_treatmentBiophysicsGeneral Physics and AstronomyFuzzy logicradiation therapy030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineClinical supportmedicineRadiology Nuclear Medicine and imagingCluster analysisSemi-automatic segmentationNeuro-radiosurgery treatmentbusiness.industryPattern recognitionGeneral MedicineFuzzy C-Means clusteringRadiation therapy030220 oncology & carcinogenesisArtificial intelligenceRadiologybusinessBrain tumor segmentationbrain tumorMR imaging
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Graph-matching based CTA.

2009

Separating bone, calcification, and vessels in computer tomography angiography (CTA) allows for a detailed diagnosis of vessel stenosis. This paper presents a new, graph-based technique that solves this difficult problem with high accuracy. The approach requires one native data set and one that is contrast enhanced. On each data set, an attributed level-graph is derived and both graphs are matched by dynamic programming to differentiate between bone, on one hand side, and vessel/calcification on the other hand side. Lumen and calcified regions are then separated by a profile technique. Evaluation is based on data from vessels of pelvis and lower extremities of elderly patients. Due to subst…

medicine.medical_specialtyMatching (graph theory)Computer scienceComputed tomographySensitivity and SpecificityPattern Recognition AutomatedArtificial IntelligencemedicineHumansSegmentationElectrical and Electronic EngineeringPelvisPeripheral Vascular DiseasesRadiological and Ultrasound Technologymedicine.diagnostic_testbusiness.industryAngiographyReproducibility of ResultsPattern recognitionNumerical Analysis Computer-AssistedImage segmentationmedicine.diseaseComputer Science ApplicationsRadiographic Image EnhancementStenosismedicine.anatomical_structureSubtraction TechniqueAngiographyRadiographic Image Interpretation Computer-AssistedRadiologyTomographyArtificial intelligencebusinessTomography X-Ray ComputedSoftwareAlgorithmsCalcificationIEEE transactions on medical imaging
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