0000000000360074

AUTHOR

Marie-christine Jaulent

0000-0003-4445-7494

showing 4 related works from this author

Quantifying stenosis in renal arteriograms: a fuzzy syntactic analysis.

1999

AbstractThe introduction of fuzzy logic improves a system for the automatic quantification of renal artery lesions seen in digital subtraction angiograms. A two-step approach has been followed. An earlier system based on non-fuzzy syntactic analysis provided a clear symbolic description of the stenotic lesions. Although this system worked correctly, it did not take into account the variability and uncertainty inherent to image processing and to knowledge on the reference diameter. This system has been improved by the introduction of fuzzy logic in the representation of the reference diameter. It provides a description of the stenosis in terms of fuzzy quantities. To illustrate the benefits …

Advanced and Specialized NursingParsingbusiness.industrySubtractionAngiography Digital SubtractionHealth InformaticsPattern recognitionImage processingRenal Artery Obstructioncomputer.software_genremedicine.diseaseSymbolic descriptionFuzzy logicStenosisDigital imageRenal ArteryFuzzy LogicHealth Information ManagementmedicineHumansRadiographic Image Interpretation Computer-AssistedArtificial intelligenceRepresentation (mathematics)businesscomputer
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A fuzzy automaton to detect and quantify artery lesions from arteriograms.

1996

International audience

[ INFO.INFO-IM ] Computer Science [cs]/Medical Imaging[INFO.INFO-IM]Computer Science [cs]/Medical Imaging[INFO.INFO-IM] Computer Science [cs]/Medical ImagingComputingMilieux_MISCELLANEOUS
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Left ventricular ejection fraction calculation from automatically selected and processed diastolic and systolic frames in short-axis cine-MRI

2005

International audience; Abstract: The calculation of the left ventricular ejection fraction (LVEF) is dependent upon the accurate measurement of diastolic and systolic left ventricular volumes. Although breath-hold cine magnetic resonance imaging (MRI) allows coverage of the whole cardiac cycle with an excellent time resolution, many authors rely on the visual selection of diastolic and the systolic short-axis slices in order to reduce the postprocessing time. An automatic method was developed to detect the endocardial contour on each image, allowing an automatic selection of the systolic frame. The calculated ejection fraction was compared with radionuclide ventriculography (RNV). Sixty-fi…

AdultMalemedicine.medical_specialtyShort axisHeart diseaseSystoleHeart VentriclesDiastoleMyocardial InfarctionMagnetic Resonance Imaging CineImage processingRadionuclide ventriculography030204 cardiovascular system & hematologyVentricular Function Left030218 nuclear medicine & medical imaging03 medical and health sciencesElectrocardiography0302 clinical medicineDiastoleInternal medicine[INFO.INFO-IM]Computer Science [cs]/Medical ImagingmedicineHumansmagnetic resonance imagingRadiology Nuclear Medicine and imagingRadionuclide VentriculographyAgedObserver VariationEjection fractionRadiological and Ultrasound Technologymedicine.diagnostic_testCardiac cycle[ INFO.INFO-IM ] Computer Science [cs]/Medical Imagingbusiness.industryMagnetic resonance imagingStroke Volumeleft ventricular ejection fractionMiddle Agedmedicine.diseaseimage processingCardiologyFemaleEndothelium Vascularfuzzy logicCardiology and Cardiovascular MedicinebusinessNuclear medicine
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Automatic fuzzy contouring and parameter extraction of the left ventricle from multi-slice MR Images.

1998

International audience

[ INFO.INFO-IM ] Computer Science [cs]/Medical Imaging[INFO.INFO-IM]Computer Science [cs]/Medical Imaging[INFO.INFO-IM] Computer Science [cs]/Medical ImagingComputingMilieux_MISCELLANEOUS
researchProduct