0000000000294588

AUTHOR

M. Xavier

showing 2 related works from this author

An adapted optical flow algorithm for robust quantification of cardiac wall motion from standard cine-MR examinations

2012

International audience; This paper presents a method for local myocardial motion estimation from a conventional steady-state free precession cine-MRI sequence using a modified phase-based optical flow (OF) technique. Initially, the technique was tested on synthetic images to evaluate its robustness with regards to Rician noise and to brightness variations. The method was then applied to cardiac images acquired on 11 healthy subjects. Myocardial velocity is measured in centimeter per second in each studied pixel and visualized as colored vectors superimposed on MRI images. The estimated phase-based OF results were compared with a reference OF method and gave similar results on synthetic imag…

MaleBrightnessPhysics::Medical Physics[INFO.INFO-IM] Computer Science [cs]/Medical Imaging02 engineering and technology030218 nuclear medicine & medical imagingmotion estimation0302 clinical medicineCine-MRI0202 electrical engineering electronic engineering information engineeringImage Processing Computer-AssistedComputer visionMESH : FemaleOptical filterMESH : AlgorithmsMathematicsMESH: Middle Aged[ INFO.INFO-IM ] Computer Science [cs]/Medical ImagingGeneral MedicineMESH: Magnetic Resonance Imaging CineMiddle AgedMESH : AdultMESH : Magnetic Resonance Imaging CineMESH: Image Processing Computer-AssistedComputer Science Applicationscardiovascular system020201 artificial intelligence & image processingFemaleAlgorithmsMESH : Image Processing Computer-AssistedBiotechnologyAdultMESH : MaleOptical flowMagnetic Resonance Imaging CineImage processingMESH: Algorithmsheartoptical flow03 medical and health sciencesMESH : HeartRobustness (computer science)Motion estimation[ SDV.MHEP ] Life Sciences [q-bio]/Human health and pathology[INFO.INFO-IM]Computer Science [cs]/Medical ImagingHumansMESH : Middle AgedElectrical and Electronic EngineeringCentimeterMESH: HumansPixelbusiness.industryMESH : HumansMESH: AdultMESH: MaleMESH: HeartArtificial intelligencebusinessMESH: Female[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
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Dynamic 4D Blood Flow Representation in the Aorta and Analysis from Cine-MRI in Patients

2007

International audience; Abstract: Natural evolution of aortic disease is characterized by a diameter increase that can result in aortic dissection or rupture. Currently the evaluation of risk of rupture or dissection is based on the size of the aorta. However, this parameter is not always relevant and it appears necessary to define new parameters. In this perspective, 3D velocity imaging acquired with ECG gated velocity-encoded cine-MRI allows the aortic blood flow study. As the acquired images are not directly usable, the present study proposes a 4D-representation Of aortic blood flow in order to optimize the visualization of the particularities of non-laminar flow within the aorta. Image …

medicine.medical_specialty0206 medical engineering[INFO.INFO-IM] Computer Science [cs]/Medical ImagingHemodynamics02 engineering and technologyDissection (medical)030204 cardiovascular system & hematology03 medical and health sciences0302 clinical medicineAneurysmInternal medicinemedicine.arterymedicineMedical imaging[INFO.INFO-IM]Computer Science [cs]/Medical ImagingAortic dissectionAorta[ INFO.INFO-IM ] Computer Science [cs]/Medical Imagingbusiness.industryRepresentation (systemics)Blood flowmedicine.disease020601 biomedical engineeringCardiologycardiovascular systemRadiologybusiness
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