Search results for "Pròstata -- Càncer -- Diagnòstic"

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A spline-based non-linear diffeomorphism for multimodal prostate registration.

2012

This paper presents a novel method for non-rigid registration of transrectal ultrasound and magnetic resonance prostate images based on a non-linear regularized framework of point correspondences obtained from a statistical measure of shape-contexts. The segmented prostate shapes are represented by shape-contexts and the Bhattacharyya distance between the shape representations is used to find the point correspondences between the 2D fixed and moving images. The registration method involves parametric estimation of the non-linear diffeomorphism between the multimodal images and has its basis in solving a set of non-linear equations of thin-plate splines. The solution is obtained as the least…

MaleProstate biopsyProstate -- Cancer -- DiagnosisPhysics::Medical Physics[INFO.INFO-IM] Computer Science [cs]/Medical ImagingHealth InformaticsSystem of linear equationsSensitivity and Specificity030218 nuclear medicine & medical imagingPattern Recognition AutomatedPròstata -- Càncer -- Diagnòstic03 medical and health sciences0302 clinical medicineArtificial IntelligenceImage Interpretation Computer-Assistedmedicine[INFO.INFO-IM]Computer Science [cs]/Medical ImagingBhattacharyya distanceHumansRadiology Nuclear Medicine and imagingComputer visionThin plate splineMathematicsUltrasonographyRadiological and Ultrasound Technologymedicine.diagnostic_test[ INFO.INFO-IM ] Computer Science [cs]/Medical Imagingbusiness.industryProstatic NeoplasmsReproducibility of ResultsProstate -- BiopsyImage EnhancementComputer Graphics and Computer-Aided DesignMagnetic Resonance ImagingPròstata -- BiòpsiaSpline (mathematics)Nonlinear systemHausdorff distanceNonlinear DynamicsComputer Science::Computer Vision and Pattern RecognitionSubtraction TechniqueImatgeria mèdicaComputer Vision and Pattern RecognitionDiffeomorphismArtificial intelligencebusiness030217 neurology & neurosurgeryAlgorithmsImaging systems in medicineMedical image analysis
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A Survey of Prostate Segmentation Methodologies in Ultrasound, Magnetic Resonance and Computed Tomography Images

2012

Prostate segmentation is a challenging task, and the challenges significantly differ from one imaging modality to another. Low contrast, speckle, micro-calcifications and imaging artifacts like shadow poses serious challenges to accurate prostate segmentation in transrectal ultrasound (TRUS) images. However in magnetic resonance (MR) images, superior soft tissue contrast highlights large variability in shape, size and texture information inside the prostate. In contrast poor soft tissue contrast between prostate and surrounding tissues in computed tomography (CT) images pose a challenge in accurate prostate segmentation. This article reviews the methods developed for prostate gland segmenta…

Malemedicine.medical_specialty[INFO.INFO-IM] Computer Science [cs]/Medical ImagingHealth Informatics02 engineering and technology030218 nuclear medicine & medical imagingProstate -- Cancer-- DiagnosisPròstata -- Càncer -- Diagnòstic03 medical and health sciencesProstate cancerSpeckle pattern0302 clinical medicineProstateProstate -- Cancer -- Imaging0202 electrical engineering electronic engineering information engineering[INFO.INFO-IM]Computer Science [cs]/Medical ImagingMedicineHumansComputer visionSegmentationPròstata -- Càncer -- ImatgesUltrasonographyModalitiesModality (human–computer interaction)medicine.diagnostic_test[ INFO.INFO-IM ] Computer Science [cs]/Medical Imagingbusiness.industryUltrasoundProstateMagnetic resonance imagingmedicine.diseaseMagnetic Resonance Imaging3. Good healthComputer Science Applicationsmedicine.anatomical_structureImatgeria mèdica020201 artificial intelligence & image processingArtificial intelligenceRadiologybusinessTomography X-Ray ComputedSoftwareAlgorithmsImaging systems in medicine
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