Search results for "image quality"

showing 10 items of 136 documents

Design and evaluation of a 32-channel phased-array coil for lung imaging with hyperpolarized 3-helium

2010

Imaging with hyperpolarized 3-helium is becoming an increasingly important technique for MRI diagnostics of the lung but is hampered by long breath holds (>20 sec), which are not always applicable in patients with severe lung disease like chronic obstructive pulmonary disease (COPD) or α-1-anti-trypsin deficiency. Additionally, oxygen-induced depolarization decay during the long breath holds complicates interpretation of functional data such as apparent diffusion coefficients. To address these issues, we describe and validate a 1.5-T, 32-channel array coil for accelerated 3He lung imaging and demonstrate its ability to speed up imaging 3He. A signal-to-noise ratio increase of up to a factor…

COPDLungChannel (digital image)Image qualitybusiness.industrymedicine.diseasePhased array coilmedicine.anatomical_structureNuclear magnetic resonanceLung imagingArray coilmedicineRadiology Nuclear Medicine and imagingbusinessImage resolutionMagnetic Resonance in Medicine
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Accelerated T2-Weighted TSE Imaging of the Prostate Using Deep Learning Image Reconstruction: A Prospective Comparison with Standard T2-Weighted TSE …

2021

Multiparametric MRI (mpMRI) of the prostate has become the standard of care in prostate cancer evaluation. Recently, deep learning image reconstruction (DLR) methods have been introduced with promising results regarding scan acceleration. Therefore, the aim of this study was to investigate the impact of deep learning image reconstruction (DLR) in a shortened acquisition process of T2-weighted TSE imaging, regarding the image quality and diagnostic confidence, as well as PI-RADS and T2 scoring, as compared to standard T2 TSE imaging. Sixty patients undergoing 3T mpMRI for the evaluation of prostate cancer were prospectively enrolled in this institutional review board-approved study between O…

Cancer Researchdiagnostic imagingImage qualityIterative reconstructionArticleprostatic neoplasms030218 nuclear medicine & medical imaging03 medical and health sciencesProstate cancer0302 clinical medicineProstateMedical imagingmedicineRC254-282Multiparametric Magnetic Resonance Imagingbusiness.industryDeep learningNeoplasms. Tumors. Oncology. Including cancer and carcinogensdeep learningmultiparametric magnetic resonance imagingmedicine.diseasemedicine.anatomical_structureOncology030220 oncology & carcinogenesisArtificial intelligenceNuclear medicinebusinessT2 weightedCancers
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Modified electrocardiograph-triggered black-blood turbo spin-echo technique to improve T1-weighting in contrast-enhanced MRI of atherosclerotic carot…

2008

Purpose To assess the efficacy of a modified electrocardiograph (EKG)-triggered black-blood T1W (T1W) spin-echo sequence in improving contrast on post-gadolinium high-resolution carotid plaque imaging by implementing heart-rate–independent contrast preparation. Materials and Methods We used a standard EKG-triggered double inversion-recovery (DIR) turbo spin-echo (TSE) sequence modified with the addition of an extra saturation (90°) radio frequency (RF) pulse placed immediately after the DIR module, shortening the repetition time to a fixed value of 400 msec. A total of 10 patients with atherosclerotic disease were included in the study. Postinjection intraplaque contrast measurements were p…

Carotid Artery DiseasesMaleCONTRAST ENHANCED MRIImage qualityCarotid arteriesmedia_common.quotation_subjectBlack blood[INFO.INFO-IM] Computer Science [cs]/Medical ImagingContrast Media030218 nuclear medicine & medical imagingElectrocardiography03 medical and health sciencesMeglumine0302 clinical medicineImage Interpretation Computer-AssistedOrganometallic Compounds[INFO.INFO-IM]Computer Science [cs]/Medical ImagingHumansContrast (vision)MedicineRadiology Nuclear Medicine and imagingAgedmedia_commonPulse (signal processing)business.industryMiddle AgedFast spin echoMagnetic Resonance ImagingWeightingFemaleArtifactsbusinessNuclear medicine030217 neurology & neurosurgery
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Perceptual similarity between color images using fuzzy metrics

2016

A method to measure the similarity between color images is proposed.Correlation among the color image channels is taken into account.Proposed similarity measure is based on fuzzy metrics because of their advantages.The proposal matches well with the perceptual visual similarity between color images. In many applications of the computer vision field measuring the similarity between (color) images is of paramount importance. However, the commonly used pixelwise similarity measures such as Mean Absolute Error, Peak Signal to Noise Ratio, Mean Squared Error or Normalized Color Difference do not match well with perceptual similarity. Recently, it has been proposed a method for gray-scale image s…

Color histogramMean squared errorColor similarityComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologySimilarity measureFuzzy logicLow level image processingFuzzy metricsSimilarity (network science)0202 electrical engineering electronic engineering information engineeringMedia TechnologyComputer visionElectrical and Electronic EngineeringMathematicsPerceptual image similarityColor differencebusiness.industryColor image020206 networking & telecommunicationsPattern recognitionColor imagingPeak signal-to-noise ratioPerceptual observationsColor image qualityFuzzy logicComputer Science::Computer Vision and Pattern RecognitionSignal Processing020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusinessJournal of Visual Communication and Image Representation
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Use of wavelet for image processing in smart cameras with low hardware resources

2013

International audience; Images from embedded sensors need digital processing to recover high-quality images and to extract features of a scene. Depending on the properties of the sensor and on the application, the designer fits together different algorithms to process images. In the context of embedded devices, the hardware supporting those applications is very constrained in terms of power consumption and silicon area. Thus, the algorithms have to be compliant with the embedded specifications i.e. reduced computational complexity and low memory requirements. We investigate the opportunity to use the wavelet representation to perform good quality image processing algorithms at a lower compu…

Computational complexity theoryComputer scienceImage qualityEmbedded systemsComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processing02 engineering and technology[SPI]Engineering Sciences [physics]WaveletDigital image processing0202 electrical engineering electronic engineering information engineering[ SPI ] Engineering Sciences [physics]Computer visionSmart cameraDWTDigital signal processingDenoisingDemosaicingbusiness.industry020202 computer hardware & architectureDemosaicingRecognitionHardware and Architecture020201 artificial intelligence & image processingArtificial intelligencebusinessWaveletSoftwareComputer hardware
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AUTOMATIC QUALITY ENHANCEMENT AND NERVE FIBRE LAYER ARTEFACTS REMOVAL IN RETINA FUNDUS IMAGES BY OFF AXIS IMAGING

2011

International audience; Retinal fundus images acquired with non-mydriatic digital fundus cameras are a versatile tool for the diagnosis of various retinal diseases. Even with relative ease of use, the images produced sometimes suffer from reflectance artefacts mainly due to the nerve fibre layer (NFL) or camera lens related reflections. We propose a technique that employs multiple fundus images to obtain a single higher quality image without these reflectance artefacts, which also compensates for a suboptimal illumination. The removal of bright artefacts, can have great benefits for the reduction of false positives in the detection of retinal lesions by automatic systems or manual inspectio…

Computer scienceImage quality0206 medical engineeringImage registration02 engineering and technologyFundus (eye)030218 nuclear medicine & medical imaginglaw.inventionCamera lens03 medical and health scienceschemistry.chemical_compoundImage restoration0302 clinical medicinelawHistogrammedicineImage qualityComputer visionRetinopathyImage resolutionImage restorationImage registrationRetinabusiness.industryDiabetesRetinalmedicine.disease020601 biomedical engineeringLens (optics)medicine.anatomical_structurechemistryArtificial intelligencesense organsbusinessRetinopathy
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A new Adaptive and Progressive Image Transmission Approach using Function Superpositions

2010

International audience; We present a novel approach to adaptive and progressive image transmission, based on the decomposition of an image into compositions and superpositions of monovariate functions. The monovariate functions are iteratively constructed and transmitted, one after the other, to progressively reconstruct the original image: the progressive transmission is performed directly in the 1D space of the monovariate functions and independently of any statistical properties of the image. Each monovariate function contains only a fraction of the pixels of the image. Each new transmitted monovariate function adds data to the previously transmitted monovariate functions. After each tra…

Computer scienceImage qualityComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologyIterative reconstructionmultidimensional function decompositionSuperposition principleRobustness (computer science)[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringComputer visionsignal processingspatial scalability.Image resolutionImage restorationSignal processingPixelbusiness.industryprogressive image transmissionGeneral Engineering020206 networking & telecommunicationsAtomic and Molecular Physics and Opticsfunctional representation[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Computer Science::Computer Vision and Pattern RecognitionKolmogorov superposition theorem020201 artificial intelligence & image processingTomographyArtificial intelligencebusinessDigital filterAlgorithmspatial scalabilityImage compression
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Verlustbehaftete Bilddatenreduktion von digitalen Koronarangiogrammen: Vergleich der Bildqualität durch einen objektiven Paramter

1997

Computer scienceImage qualitybusiness.industryBiomedical EngineeringDissipative systemComputer visionArtificial intelligencebusinessImage (mathematics)Data reductionBiomedizinische Technik/Biomedical Engineering
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Image quality metric based on multidimensional contrast perception models

1999

Abstract The procedure to compute the subjective difference between two input images should be equivalent to a straightforward difference between their perceived versions, hence reliable subjective difference metrics must be founded on a proper perception model. For image distortion evaluation purposes, perception can be considered as a set of signal transforms that successively map the original image in the spatial domain into a feature and a response space. The properties of the spatial pattern analyzers involved in these transforms determine the geometry of these different signal representation domains. In this work the general relations between the sensitivity of the human visual system…

Computer scienceImage qualitybusiness.industrymedia_common.quotation_subjectPattern recognitionHuman-Computer InteractionHardware and ArchitectureFeature (computer vision)DistortionHuman visual system modelMetric (mathematics)Contrast (vision)Computer visionArtificial intelligenceElectrical and Electronic EngineeringSet (psychology)businessRepresentation (mathematics)media_commonDisplays
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Divisive normalization image quality metric revisited.

2010

Structural similarity metrics and information-theory-based metrics have been proposed as completely different alternatives to the traditional metrics based on error visibility and human vision models. Three basic criticisms were raised against the traditional error visibility approach: (1) it is based on near-threshold performance, (2) its geometric meaning may be limited, and (3) stationary pooling strategies may not be statistically justified. These criticisms and the good performance of structural and information-theory-based metrics have popularized the idea of their superiority over the error visibility approach. In this work we experimentally or analytically show that the above critic…

Computer sciencebusiness.industryImage qualityMachine visionPoolingNormalization (image processing)Wavelet transformImage processingImage enhancementMachine learningcomputer.software_genreAtomic and Molecular Physics and OpticsImage contrastElectronic Optical and Magnetic MaterialsOpticsComputer Vision and Pattern RecognitionArtificial intelligencebusinesscomputerJournal of the Optical Society of America. A, Optics, image science, and vision
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