Search results for "Graph cut"

showing 3 items of 3 documents

3D segmentation of abdominal aorta from CT-scan and MR images

2012

International audience; We designed a generic method for segmenting the aneurismal sac of an abdominal aortic aneurysm (AAA) both from multi-slice MR and CT-scan examinations. It is a semi-automatic method requiring little human intervention and based on graph cut theory to segment the lumen interface and the aortic wall of AAAs. Our segmentation method works independently on MRI and CT-scan volumes and has been tested on a 44 patient dataset and 10 synthetic images. Segmentation and maximum diameter estimation were compared to manual tracing from 4 experts. An inter-observer study was performed in order to measure the variability range of a human observer. Based on three metrics (the maxim…

CT scanmedicine.medical_specialty[INFO.INFO-IM] Computer Science [cs]/Medical ImagingLumen (anatomy)Health Informatics02 engineering and technologyAAA segmentationPattern Recognition Automated030218 nuclear medicine & medical imaging03 medical and health sciencesAortic aneurysmImaging Three-Dimensional0302 clinical medicineCutmedicine.arteryImage Interpretation Computer-Assisted[INFO.INFO-IM]Computer Science [cs]/Medical Imaging0202 electrical engineering electronic engineering information engineeringmedicineHumansRadiology Nuclear Medicine and imagingSegmentationMathematicsAnalysis of VarianceRadiological and Ultrasound Technology[ INFO.INFO-IM ] Computer Science [cs]/Medical ImagingVolume segmentationAbdominal aortaReproducibility of Resultsmedicine.diseaseComputer Graphics and Computer-Aided DesignAbdominal aortic aneurysmHausdorff distancecardiovascular system020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionTomographyRadiologyTomography X-Ray ComputedAlgorithmsMagnetic Resonance AngiographyGraph cutAortic Aneurysm AbdominalMRI
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Graph cut-based method for segmenting the left ventricle from MRI or echocardiographic images

2017

International audience; In this paper, we present a fast and interactive graph cut method for 3D segmentation of the endocardial wall of the left ventricle (LV) adapted to work on two of the most widely used modalities: magnetic resonance imaging (MRI) and echocardiography. Our method accounts for the fundamentally different nature of both modalities: 3D echocardiographic images have a low contrast, a poor signal-to-noise ratio and frequent signal drop, while MR images are more detailed but also cluttered and contain highly anisotropic voxels. The main characteristic of our method is to work in a 3D Bezier coordinate system instead of the original Euclidean space. This comes with several ad…

Convex hullHeart VentriclesEnergy MinimizationCoordinate systemEchocardiography Three-DimensionalHealth InformaticsBézier curve02 engineering and technology[SDV.IB.MN]Life Sciences [q-bio]/Bioengineering/Nuclear medicinecomputer.software_genreAutomated Segmentation030218 nuclear medicine & medical imaging[ SDV.IB.MN ] Life Sciences [q-bio]/Bioengineering/Nuclear medicine03 medical and health sciences0302 clinical medicineVoxelCut0202 electrical engineering electronic engineering information engineering[INFO.INFO-IM]Computer Science [cs]/Medical ImagingMagnetic-Resonance ImagesHumansRadiology Nuclear Medicine and imagingComputer vision[ SDV.IB ] Life Sciences [q-bio]/BioengineeringCardiac MriImage gradientMathematicsWhole MyocardiumLeft ventricular 3-D segmentationRadiological and Ultrasound Technology[ INFO.INFO-IM ] Computer Science [cs]/Medical ImagingEuclidean spacebusiness.industryComputer Graphics and Computer-Aided DesignMagnetic Resonance ImagingEchocardiographyConstrained Level-SetGraph (abstract data type)020201 artificial intelligence & image processing[SDV.IB]Life Sciences [q-bio]/BioengineeringComputer Vision and Pattern RecognitionArtificial intelligencebusiness2d-EchocardiographycomputerAlgorithmsGraph cutMRI
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Segmentation Integrating Watershed and Shape Priors Applied to Cardiac Delayed Enhancement MR Images

2017

International audience; Background: In recent years, there has been a rapid rise in the use of shape priors applied to segmentation process of medical images. Previous approaches on left ventricle segmentation from Delayed-Enhancement Magnetic Resonance Imaging (DE-MRI) have focused on the extraction of myocardium or just diseased region in short axis orientation. However these studies did not take into account the segmentation of non-diseased myocardium from DE-MRI. The segmentation of non-diseased myocardium from DE-MRI, has some useful applications. For instance it can simplify the PET-MR registration process.Methods: This paper presents a novel semi-automatic segmentation method of non-…

DE-MRIComputer science[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/ImagingBiomedical EngineeringBiophysicsScale-space segmentation030204 cardiovascular system & hematology030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineSegmentationSørensen–Dice coefficientInformationMagnetic-Resonance ImagesSegmentationComputer vision[ SDV.IB ] Life Sciences [q-bio]/BioengineeringCardiac imaging[ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/ImagingOrientation (computer vision)business.industryImage segmentationGold standard (test)Computer aided diagnosisComputer-aided diagnosisGraph Cuts[SDV.IB]Life Sciences [q-bio]/BioengineeringArtificial intelligencebusinessShape priorsCardiac imaging
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