Search results for "ULTRASOUND"

showing 10 items of 1259 documents

Use of Ultrasound in Reconditioning by Welding of Tools Used in the Process of Regenerating Rubber

2018

Addressing the problem of reconditioning large parts is of particular importance, due to their value and to the fact that the technologies for their reconditioning are very complex. The tools used to refine regenerated rubber which measure 660 mm in diameter and 2130 mm in length suffer from a rather fast dimensional wear. Within this research, the authors looked for a welding reconditioning procedure that would allow a very good adhesion between the deposited material layer and the base material. In this regard, the MAG (Metal Active Gas) welding process was used, but the ultrasonic activation of the welding process was also considered. Thus, the wire used for welding was activated conside…

Cladding (metalworking)0209 industrial biotechnologyMaterials science02 engineering and technologyWeldingultrasoundsprocess; reconditioning; welding; ultrasounds; tools; regenerated rubberArticleCorrosionlaw.invention020901 industrial engineering & automationNatural rubberlawDeposition (phase transition)processGeneral Materials ScienceComposite materialwelding021001 nanoscience & nanotechnologyvisual_arttoolsvisual_art.visual_art_mediumregenerated rubberUltrasonic sensorGrain boundaryreconditioning0210 nano-technologyLayer (electronics)Materials; Volume 11; Issue 2; Pages: 276
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Micronucleus frequencies and clonogenic cell survival in TK6 cells exposed to changing dose rates under controlled temperature conditions.

2014

In most exposure scenarios the dose rate of exposure is not constant. Despite this, very little information exists on the possible biological effects of exposing cells to radiation under the conditions of a changing dose rate. The current study highlights interesting effects following exposure under these conditions.We constructed a new exposure facility that allows exposing cells inside an incubator and used it to irradiate human lymphoblastoid TK6 cells both after a moderate (0.48 Gy) and a high (1.1 Gy) dose, where the change in dose rate was, respectively, ≈ 17-fold (2.2-37 mGy/min) and ≈ 39-fold (2.7-106 mGy/min). Clonogenic survival and micronuclei (MN) induction were the chosen endpo…

Clonogenic survivalDNA RepairCell SurvivalBiologyCell LineAndrologyRadiation IonizingHumansRadiology Nuclear Medicine and imagingLymphocytesPoisson DistributionInterphaseCytokinesisChromosome AberrationsMicronucleus TestsRadiological and Ultrasound TechnologyLymphoblastX-RaysTemperatureDose-Response Relationship RadiationClonogenic cellArea Under CurveImmunologyMicronucleus testDose rateMicronucleusModerate-DoseDNA DamageInternational journal of radiation biology
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Effect of inter-crystal scatter on estimation methods for random coincidences and subsequent correction.

2008

Random coincidences can contribute substantially to the background in positron emission tomography (PET). Several estimation methods are being used for correcting them. The goal of this study was to investigate the validity of techniques for random coincidence estimation, with various low-energy thresholds (LETs). Simulated singles list-mode data of the MADPET-II small animal PET scanner were used as input. The simulations have been performed using the GATE simulation toolkit. Several sources with different geometries have been employed. We evaluated the number of random events using three methods: delayed window (DW), singles rate (SR) and time histogram fitting (TH). Since the GATE simula…

CoincidenceCrystalRandom AllocationImaging Three-DimensionalHOT RegionHistogramSmall animalStatisticsImage Processing Computer-AssistedAnimalsScattering RadiationRadiology Nuclear Medicine and imagingMathematicsTomography Emission-Computed Single-PhotonModels StatisticalRadiological and Ultrasound TechnologyComputersCompton scatteringReproducibility of ResultsReconstruction algorithmEquipment DesignModels TheoreticalComputational physicsPositron-Emission TomographyEstimation methodsCrystallizationMonte Carlo MethodSoftwarePhysics in medicine and biology
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The Mona Lisa effect: Neural correlates of centered and off-centered gaze

2014

The Mona Lisa effect describes the phenomenon when the eyes of a portrait appear to look at the observer regardless of the observer's position. Recently, the metaphor of a cone of gaze has been proposed to describe the range of gaze directions within which a person feels looked at. The width of the gaze cone is about five degrees of visual angle to either side of a given gaze direction. We used functional magnetic resonance imaging to investigate how the brain regions involved in gaze direction discrimination would differ between centered and decentered presentation positions of a portrait exhibiting eye contact. Subjects observed a given portrait's eyes. By presenting portraits with varyin…

CommunicationNeural correlates of consciousnessFusiform gyrusRadiological and Ultrasound Technologymedicine.diagnostic_testbusiness.industryEye contactSuperior temporal sulcusStimulus (physiology)GazeNeurologymedicineRadiology Nuclear Medicine and imagingNeurology (clinical)AnatomyVisual angleFunctional magnetic resonance imagingbusinessPsychologyCognitive psychologyHuman Brain Mapping
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An advanced system for the simulation and planning of orthodontic treatment

2000

This paper presents a new system for three-dimensional (3-D) orthodontic treatment planning and movement of teeth. We describe a computer vision technique for the acquisition and processing of 3-D images of the profile of hydrocolloid dental imprints. Profile measurement is based on the triangulation method which detects deformation of the projection of a laser line on the dental imprints. The system is computer-controlled and designed to achieve depth and lateral resolutions of 0.1 and 0.2 mm, respectively, within a depth range of 40 mm. The 3-D image of the imprint is segmented in order to identify different teeth. Two operators are presented: one for the detection of molars and premolars…

Computer scienceComputer measurementOrthodonticsHealth InformaticsModels BiologicalPatient Care Planningstomatognathic systemHumansComputer SimulationRadiology Nuclear Medicine and imagingDiagnosis Computer-AssistedLaser lineProjection (set theory)Dental alveolusOrthodonticsMeasurement methodRadiological and Ultrasound TechnologyReproducibility of ResultsDental ModelsTriangulation (computer vision)Computer Graphics and Computer-Aided DesignModels DentalBiomechanical Phenomenastomatognathic diseasesTherapy Computer-AssistedAcquisition timeComputer Vision and Pattern RecognitionMedical Image Analysis
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Matlab-based interface for the simultaneous acquisition of force measures and Doppler ultrasound muscular images

2012

This paper tackles the design of a graphical user interface (GUI) based on Matlab (MathWorks Inc., MA), a worldwide standard in the processing of biosignals, which allows the acquisition of muscular force signals and images from a ultrasound scanner simultaneously. Thus, it is possible to unify two key magnitudes for analyzing the evolution of muscular injuries: the force exerted by the muscle and section/length of the muscle when such force is exerted. This paper describes the modules developed to finally show its applicability with a case study to analyze the functioning capacity of the shoulder rotator cuff.

Computer scienceInterface (computing)Health InformaticsRotator Cuff InjuriesRotator CuffUser-Computer InterfaceIsometric ContractionmedicineHumansMuscular forceRotator cuffMuscle StrengthMuscle SkeletalMATLABSimulationGraphical user interfacecomputer.programming_languagebusiness.industrySignal Processing Computer-AssistedUltrasonography DopplerBiomechanical PhenomenaComputer Science Applicationsmedicine.anatomical_structureDoppler ultrasoundbusinesscomputerSoftwareComputer 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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2020

Abstract Background and objective Deep learning approaches are common in image processing, but often rely on supervised learning, which requires a large volume of training images, usually accompanied by hand-crafted labels. As labelled data are often not available, it would be desirable to develop methods that allow such data to be compiled automatically. In this study, we used a Generative Adversarial Network (GAN) to generate realistic B-mode musculoskeletal ultrasound images, and tested the suitability of two automated labelling approaches. Methods We used a model including two GANs each trained to transfer an image from one domain to another. The two inputs were a set of 100 longitudina…

Computer sciencebusiness.industryDeep learningSupervised learningUltrasoundHealth InformaticsPattern recognitionImage processingImage segmentation030218 nuclear medicine & medical imagingComputer Science Applications03 medical and health sciences0302 clinical medicineHistogramMedical imagingEntropy (information theory)Artificial intelligencebusiness030217 neurology & neurosurgerySoftwareComputer Methods and Programs in Biomedicine
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Breast Ultra-Sound image segmentation: an optimization approach based on super-pixels and high-level descriptors

2015

International audience; Breast cancer is the second most common cancer and the leading cause of cancer death among women. Medical imaging has become an indispensable tool for its diagnosis and follow up. During the last decade, the medical community has promoted to incorporate Ultra-Sound (US) screening as part of the standard routine. The main reason for using US imaging is its capability to differentiate benign from malignant masses, when compared to other imaging techniques. The increasing usage of US imaging encourages the development of Computer Aided Diagnosis (CAD) systems applied to Breast Ultra-Sound (BUS) images. However accurate delineations of the lesions and structures of the b…

ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONCAD02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingBI-RADS lexiconOptimization based Segmentation030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineBreast cancerCut0202 electrical engineering electronic engineering information engineeringMedical imagingMedicineComputer visionBreast ultrasound[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingPixelmedicine.diagnostic_testbusiness.industryBreast Ultra-SoundGraph-CutsImage segmentationmedicine.disease3. Good healthComputingMethodologies_PATTERNRECOGNITIONComputer-aided diagnosis020201 artificial intelligence & image processingMachine-Learning based SegmentationArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Dental CBCT equipment and performance issues

2012

Dental cone beam computed tomography (CBCT), also known as digital volumetric tomography was developed in the late 1990s and is now increasingly available in clinical practice. It can provide high resolution cross-sectional images of teeth and the maxillofacial region with applications in all branches of dentistry. As a new imaging modality, there were no established suspension levels at a European level. A literature review, encompassing scientific, professional publications and existing national guidelines was performed in an attempt to develop a set of suspension levels for dental CBCT, using additional expert opinion from the members of the European Academy of dento-maxillo-facial radio…

Cone beam computed tomographyEuropean levelmedicine.medical_specialtyImage qualityComputer scienceGuidelines as TopicComputed tomographyRadiation DosageDental EquipmentImaging Three-DimensionalImage Processing Computer-AssistedRadiography DentalmedicineHumansRadiology Nuclear Medicine and imagingMedical physicsRadiometryRadiationModality (human–computer interaction)Radiological and Ultrasound Technologymedicine.diagnostic_testX-RaysDental EquipmentPublic Health Environmental and Occupational HealthTesting equipmentReproducibility of ResultsEquipment DesignGeneral MedicineCone-Beam Computed TomographyClinical Practicestomatognathic diseasesToothRadiation Protection Dosimetry
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