Search results for "Enhancement."

showing 10 items of 557 documents

Expressive suppression and enhancement during music-elicited emotions in younger and older adults

2015

International audience; When presented with emotional visual scenes, older adults have been found to be equally capable to regulate emotion expression as younger adults, corroborating the view that emotion regulation skills are maintained or even improved in later adulthood. However, the possibility that gaze direction might help achieve an emotion control goal has not been taken into account, raising the question whether the effortful processing of expressive regulation is really spared from the general age-related decline. Since it does not allow perceptual attention to be redirected away from the emotional source, music provides a useful way to address this question. In the present study…

Cognitive Neurosciencemedia_common.quotation_subject050109 social psychologymusical emotions[ SCCO.PSYC ] Cognitive science/Psychology050105 experimental psychologylcsh:RC321-571Developmental psychologyPerception0501 psychology and cognitive sciencesEmotional expressionexpressive enhancementOriginal Research ArticleControl (linguistics)Expressive SuppressionReactivity (psychology)lcsh:Neurosciences. Biological psychiatry. Neuropsychiatrymedia_commonphysiological measuresexpressive suppression05 social sciencesagingGazeExpression (architecture)Younger adults[SCCO.PSYC]Cognitive science/PsychologyPsychologyNeuroscience
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Efficient gene delivery to the inflamed colon by local administration of recombinant adenoviruses with normal or modified fibre structure

1999

BACKGROUND/AIMSReplication deficient recombinant adenoviruses represent an efficient means of transferring genes in vivo into a wide variety of dividing and quiescent cells from many different organs. Although the gastrointestinal tract is a potentially attractive target for gene therapy approaches, only a few studies on the use of viral gene transfer vehicles in the gut have been reported. The prospects of using recombinant adenoviruses for gene delivery into epithelial and subepithelial cells of the normal and inflamed colon are here analysed.METHODSAn E1/E3 deleted recombinant adenovirus (denoted AdCMVβGal) and an adenovirus with modified fibre structure (denoted AdZ.F(pk7)) both express…

ColonT cellGenetic enhancementGenetic VectorsGene ExpressionBiologyGene deliverymedicine.disease_causeRecombinant virusArticleAdenoviridaeMiceAdministration RectalGene expressionmedicineAnimalsHumansReporter geneLamina propriaMice Inbred BALB CGastroenterologyGene Transfer TechniquesDefective VirusesColitisInflammatory Bowel Diseasesbeta-GalactosidaseVirologyMolecular biologyAdenoviridaemedicine.anatomical_structureInjections IntravenousInjections Intraperitoneal
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Gemelle diverse. The churches of the Holy Trinity of Delia and San Nicolò Regale in Trapani, Sicily

2019

The work develops the necessary phases before arriving at a restoration project. The main objectives are: the study and historical-architectural analysis, the knowledge of the current management and enhancement of the two churches, the proposal of strategies to show the value of the remains of the past and to educate the new generations and the development of a method. In addition to the data collection "in situ" relative to the current conditions of the elements, their state of conservation and the documentation of existing pathologies, an architectural survey has been carried out to perform the comparative analysis of both churches and the proposals of action. The two architectures are th…

Comparative analysiEnhancementPre-diagnosisSettore ICAR/17 - DisegnoSettore ICAR/19 - RestauroSettore ICAR/18 - Storia Dell'ArchitetturaManagement
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An automatic L1-based regularization method for the analysis of FFC dispersion profiles with quadrupolar peaks

2023

Fast Field-Cycling Nuclear Magnetic Resonance relaxometry is a non-destructive technique to investigate molecular dynamics and structure of systems having a wide range of ap- plications such as environment, biology, and food. Besides a considerable amount of liter- ature about modeling and application of such technique in specific areas, an algorithmic approach to the related parameter identification problem is still lacking. We believe that a robust algorithmic approach will allow a unified treatment of different samples in several application areas. In this paper, we model the parameters identification problem as a con- strained L 1 -regularized non-linear least squares problem. Following…

Computational Mathematicsparameter identificationSettore MAT/08 - Analisi NumericaFast Field Cycling NMR relaxationSettore ING-IND/30 - Idrocarburi E Fluidi Del SottosuoloApplied MathematicsFree-modelSettore AGR/13 - Chimica Agrarianon-linear Gauss-Seidel methodquadrupole relaxation enhancementL 1 regularizationSettore CHIM/06 - Chimica OrganicaSettore CHIM/02 - Chimica Fisica
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Simple computation of the approximated modulation transfer function (MTF) using spreadsheet-software: method and evaluation in five maxillofacial CBC…

2019

OBJECTIVES: To develop a simple way to compute the approximated modulation transfer function (MTF) manually using conventional spreadsheet software. METHODS: Basing on an edge-image a method was developed, facilitating computation of the edge spread and line spread function in open-source spreadsheet software (Gnumeric; http://projects.gnome.org/gnumeric/downloads.shtml). By means of the integrated fast Fourier transformation Fourier coefficients are obtained from the line spread function which can then be plotted vs spatial frequency to obtain MTF-plots. For the experimental evaluation an edge test object was exposed in five commercial CBCT devices for maxillofacial applications. RESULTS: …

Computer science030218 nuclear medicine & medical imaging03 medical and health sciencessymbols.namesake0302 clinical medicineTechnical ReportSimple (abstract algebra)Optical transfer functionRadiography DentalHumansRadiology Nuclear Medicine and imagingGeneral DentistryDigital signal processingSimple computationbusiness.industrySpreadsheet softwarePhantoms ImagingComputer Science::Software EngineeringReproducibility of Results030206 dentistryGeneral MedicineSpiral Cone-Beam Computed TomographyRadiographic Image EnhancementFourier transformOtorhinolaryngologysymbolsbusinessAlgorithmSoftware
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Nanomaterials and new biorecognition molecules based surface plasmon resonance biosensors for mycotoxin detection

2019

Mycotoxins are highly toxic secondary metabolites, which may contaminate many types of food and feeds. These toxins have serious health risks for both human and animals. One of the effective ways to prevent food contamination and protect people against mycotoxins is based on timely detection. Several methods like enzyme-linked immunosorbent assay and affinity chromatography are commercially available for this purpose. Nevertheless, sensitive, fast, simple, low-cost, and portable devices are absolutely required for a fast point-of care information and making decisions. Application of biosensors appears to be a possible technique to meet this need for mycotoxins analyze. The present study has…

Computer scienceBiomedical EngineeringBiophysicsEnzyme-Linked Immunosorbent AssayFood ContaminationNanotechnologyBiosensing Techniques02 engineering and technology01 natural sciencesChromatography Affinitychemistry.chemical_compoundElectrochemistryHumansSurface plasmon resonanceMycotoxin010401 analytical chemistrytechnology industry and agricultureGeneral MedicineMycotoxinsSurface Plasmon Resonance021001 nanoscience & nanotechnologyNanostructures0104 chemical sciencesSignal enhancementchemistryEnvironmental Pollutants0210 nano-technologyBiosensorBiotechnologyBiosensors and Bioelectronics
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Power estimation for non-standardized multisite studies

2016

A concern for researchers planning multisite studies is that scanner and T1-weighted sequence-related biases on regional volumes could overshadow true effects, especially for studies with a heterogeneous set of scanners and sequences. Current approaches attempt to harmonize data by standardizing hardware, pulse sequences, and protocols, or by calibrating across sites using phantom-based corrections to ensure the same raw image intensities. We propose to avoid harmonization and phantom-based correction entirely. We hypothesized that the bias of estimated regional volumes is scaled between sites due to the contrast and gradient distortion differences between scanners and sequences. Given this…

Computer scienceCognitive Neurosciencecomputer.software_genreSensitivity and Specificity050105 experimental psychologyImaging phantomArticleSet (abstract data type)03 medical and health sciences0302 clinical medicineDistortionImage Interpretation Computer-AssistedCalibrationmedicine[INFO.INFO-IM]Computer Science [cs]/Medical ImagingHumans0501 psychology and cognitive sciencesSegmentationComputer Simulation10. No inequalityScalingModels Statisticalmedicine.diagnostic_test05 social sciencesContrast (statistics)BrainReproducibility of ResultsMagnetic resonance imagingEquipment DesignScale factorImage EnhancementMagnetic Resonance ImagingUnited StatesEquipment Failure AnalysisEuropeNeurologyOrdinary least squaresData miningFunction and Dysfunction of the Nervous SystemArtifactscomputer030217 neurology & neurosurgeryAlgorithms
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Automatic skull stripping in MRI based on morphological filters and fuzzy c-means segmentation

2012

In this paper a new automatic skull stripping method for T1-weighted MR image of human brain is presented. Skull stripping is a process that allows to separate the brain from the rest of tissues. The proposed method is based on a 2D brain extraction making use of fuzzy c-means segmentation and morphological operators applied on transversal slices. The approach is extended to the 3D case, taking into account the result obtained from the preceding slice to solve the organ splitting problem. The proposed approach is compared with BET (Brain Extraction Tool) implemented in MRIcro software.

Computer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONSensitivity and SpecificityFuzzy logicPattern Recognition AutomatedFuzzy LogicImage Interpretation Computer-AssistedmedicineHumansSegmentationComputer visionSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionimedicine.diagnostic_testSkull Stripping Fuzzy C-means Morphological Filters.business.industrySkullProcess (computing)BrainReproducibility of ResultsMagnetic resonance imagingImage segmentationImage EnhancementMagnetic Resonance ImagingSubtraction TechniquePattern recognition (psychology)Skull strippingArtificial intelligenceMr imagesbusinessAlgorithms2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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Bias artifact suppression on MR volumes.

2007

RF-Inhomogeneity correction is a relevant research topic in the field of Magnetic Resonance Imaging (MRI). A volume corrupted by this artifact exhibits nonuni- form illumination both inside a single slice and between adjacent ones. In this work a bias correction technique is presented, which suppresses this artifact on MR vol- umes scanned from different body parts without any a-priori hypothesis on the artifact model. Theoretical foundations of the method are reported together with experimental results and a comparison is presented with both the 2D version of the algorithm and other techniques that are widely used in MRI literature.

Computer scienceHealth InformaticsSensitivity and SpecificityImaging Three-DimensionalBiasImage Interpretation Computer-AssistedmedicineComputer visionRF-Inhomogeneity Bias Artifact Illumination correction MR Image Homomorphic filterSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniArtifact (error)medicine.diagnostic_testbusiness.industryReproducibility of ResultsMagnetic resonance imagingImage EnhancementMagnetic Resonance ImagingComputer Science ApplicationsArtifact suppressionArtificial intelligenceMr imagesbusinessArtifactsSoftwareAlgorithmsVolume (compression)Computer methods and programs in biomedicine
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Robust Resolution-Enhanced Prostate Segmentation in Magnetic Resonance and Ultrasound Images through Convolutional Neural Networks

2021

[EN] Prostate segmentations are required for an ever-increasing number of medical applications, such as image-based lesion detection, fusion-guided biopsy and focal therapies. However, obtaining accurate segmentations is laborious, requires expertise and, even then, the inter-observer variability remains high. In this paper, a robust, accurate and generalizable model for Magnetic Resonance (MR) and three-dimensional (3D) Ultrasound (US) prostate image segmentation is proposed. It uses a densenet-resnet-based Convolutional Neural Network (CNN) combined with techniques such as deep supervision, checkpoint ensembling and Neural Resolution Enhancement. The MR prostate segmentation model was tra…

Computer scienceMR prostate imagingUS prostate imagingINGENIERIA MECANICAconvolutional neural networklcsh:TechnologyConvolutional neural network030218 nuclear medicine & medical imaginglcsh:Chemistry03 medical and health sciences0302 clinical medicinemedicineGeneral Materials Sciencelcsh:QH301-705.5Instrumentation030304 developmental biologyFluid Flow and Transfer Processes0303 health sciencesmedicine.diagnostic_testlcsh:Tbusiness.industryProcess Chemistry and TechnologyConvolutional Neural NetworksUltrasoundResolution (electron density)General EngineeringMagnetic resonance imagingPattern recognitionProstate Segmentationlcsh:QC1-999Computer Science ApplicationsNeural resolution enhancementlcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040Christian ministryArtificial intelligencelcsh:Engineering (General). Civil engineering (General)Magnetic Resonance and Ultrasound Imagesbusinesslcsh:PhysicsProstate segmentationApplied Sciences
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