0000000000791302

AUTHOR

El-bey Bourennane

showing 6 related works from this author

Influence of age and sex on aortic distensibility assessed by MRI in healthy subjects

2010

International audience; Abstract: Magnetic resonance imaging (MRI) is particularly well adapted to the evaluation of aortic distensibility. The calculation of this parameter, based on the change in vessel cross-sectional area per unit change in blood pressure, requires precise delineation of the aortic wall on a series of cine-MR images. Firstly, the study consisted in validating a new automatic method to assess aortic elasticity. Secondly, aortic distensibility was studied for the ascending and descending thoracic aortas in 26 healthy subjects. Two homogeneous groups were available to evaluate the influence of sex and age (with an age limit value of 35 years). The automatic postprocessing …

AdultMalemedicine.medical_specialtyAgingPopulationBiomedical EngineeringBiophysics030204 cardiovascular system & hematology030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineSex FactorsAutomatic processingmedicine.arteryInternal medicineElastic ModulusAscending aortaImage Interpretation Computer-Assistedmedicine[INFO.INFO-IM]Computer Science [cs]/Medical ImagingHumansRadiology Nuclear Medicine and imagingHealthy subjectseducationAortaAortaeducation.field_of_studymedicine.diagnostic_test[ INFO.INFO-IM ] Computer Science [cs]/Medical Imagingbusiness.industryMagnetic resonance imagingMagnetic Resonance ImagingElasticityBlood pressureDescending aortaCirculatory systemCardiologycardiovascular systemElasticity Imaging TechniquesAortic stiffnessFemaleRadiologybusinessMRI
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Low Complexity Image Compression using Pruned 8-point DCT Approximation in Wireless Visual Sensor Networks

2017

International audience; Since the transmission of the uncompressed image in the context of wireless visual sensor networks (WVSNs) consumes less energy than transmitting the compressed image, developing energy-aware compression algorithms are mandatory to extend the camera node's lifetime and thereby the whole network lifetime. The present paper studies a low-complexity image compression algorithm in the context of WVSNs. This algorithm consists of applying a pruning approach on a DCT approximation transform. The scheme is investigated in terms of computation cycles, processing time, energy consumption and image quality. Experimental works are conducted using the Atmel Atmega128 processor o…

Image qualityComputer scienceReal-time computingTransform02 engineering and technology[MATH] Mathematics [math]low-complexity algorithmspruned 8-point DCT0202 electrical engineering electronic engineering information engineeringDiscrete cosine transform[MATH]Mathematics [math]CosineTransform codingapproximate DCTenergy conservation020208 electrical & electronic engineeringEnergy consumptionpruning approach[SPI.TRON] Engineering Sciences [physics]/Electronicsimage compression[SPI.TRON]Engineering Sciences [physics]/ElectronicsUncompressed videoWVSNsDiscrete020201 artificial intelligence & image processingWireless sensor networkData compressionImage compression
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Classification Boundary Approximation by Using Combination of Training Steps for Real-Time Image Segmentation

2007

We propose a method of real-time implementation of an approximation of the support vector machine decision rule. The method uses an improvement of a supervised classification method based on hyperrectangles, which is useful for real-time image segmentation. We increase the classification and speed performances using a combination of classification methods: a support vector machine is used during a pre-processing step. We recall the principles of the classification methods and we evaluate the hardware implementation cost of each method. We present our learning step combination algorithm and results obtained using Gaussian distributions and an example of image segmentation coming from a part …

Computer sciencebusiness.industryGaussianScale-space segmentationPattern recognitionImage processingLinear classifierImage segmentationDecision ruleMachine learningcomputer.software_genreSupport vector machinesymbols.namesakesymbolsOne-class classificationArtificial intelligencebusinesscomputerGaussian process
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Dynamic management of reconfigurable logical computing areas: A real-time system for pedestrian detection in video

2017

International audience

[SPI]Engineering Sciences [physics][SPI] Engineering Sciences [physics]ComputingMilieux_MISCELLANEOUS
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A Watermarking of Medical Image: Method Based "LSB"

2011

International audience; In this paper, we present a new approach for watermarking of medical image that we are trying to adapt to telemedicine. This approach is intended to insert a set of data in a medical image. These data should be imperceptible and robust to various attacks. It's containing the signature of the original image, the data specific to the patient and his diagnostic. The purpose of the watermarking method is to check the integrity and preservation of the confidentiality of patient data in a network sharing. This approach is based on the use the LSB (least significant bits) of the image and tools borrowed from cryptography.

[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV][INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV][ INFO.INFO-TI ] Computer Science [cs]/Image Processing
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A Watermarking of Medical Image : New Approach Based On "Multi-Layer" Method

2011

In order to contribute to security sharing and transmission of medical images, this paper propose a new approach for Watermarking image based on the techniques of Code Division Multiple Access (CDMA), Discrete Wavelet transform (DWT) and Error Correcting Code (ECC). The motivation of this approach is to improve the quantity of data integration with the conservation of the image visual quality. Therefore, this work permits to the user the capacity to correct the possible alterations if it exists. IRM and Echographic medical image are used to experiment this approach.

Medical image[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV][INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Error Correcting CodeCode Division Multiple Access[ INFO.INFO-TI ] Computer Science [cs]/Image ProcessingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONWatermarkingDiscrete Wavelet transformMedical image.
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