Search results for "Computed radiography"

showing 2 items of 2 documents

MULTI-SCALE ANALYSIS OF LUNG COMPUTED TOMOGRAPHY IMAGES

2007

A computer-aided detection (CAD) system for the identification of lung internal nodules in low-dose multi-detector helical Computed Tomography (CT) images was developed in the framework of the MAGIC-5 project. The three modules of our lung CAD system, a segmentation algorithm for lung internal region identification, a multi-scale dot-enhancement filter for nodule candidate selection and a multi-scale neural technique for false positive finding reduction, are described. The results obtained on a dataset of low-dose and thin-slice CT scans are shown in terms of free response receiver operating characteristic (FROC) curves and discussed.

LungReceiver operating characteristicmedicine.diagnostic_testComputer sciencebusiness.industryFOS: Physical sciencesPattern recognitionComputed tomographyCADFilter (signal processing)Physics - Medical PhysicsScale analysis (statistics)Reduction (complexity)Computerized Tomography (CT) and Computed Radiography (CR ).medicine.anatomical_structuremedicineSegmentationMedical Physics (physics.med-ph)Artificial intelligencebusinessInstrumentationMedical-image reconstruction methods and algorithms computer-aided soMathematical Physics
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A CAD system for nodule detection in low-dose lung CTs based on region growing and a new active contour model

2007

A computer-aided detection (CAD) system for the selection of lung nodules in computer tomography (CT) images is presented. The system is based on region growing (RG) algorithms and a new active contour model (ACM), implementing a local convex hull, able to draw the correct contour of the lung parenchyma and to include the pleural nodules. The CAD consists of three steps: (1) the lung parenchymal volume is segmented by means of a RG algorithm; the pleural nodules are included through the new ACM technique; (2) a RG algorithm is iteratively applied to the previously segmented volume in order to detect the candidate nodules; (3) a double-threshold cut and a neural network are applied to reduce…

medicine.medical_specialtyLung NeoplasmsRadiation DosageModels BiologicalEdge detectionImage processingMedical imagingmedicineHumansDiagnosis Computer-AssistedComputed radiographycomputer-aided diagnosis (CAD)Lungimage segmentationComputed tomographyActive contour modelImage segmentationbusiness.industrycomputed tomographyGeneral MedicineImage segmentationComputer-aided diagnosis (CAD)image processingROC CurveRegion growingComputer-aided diagnosisRadiologyTomographyNeural Networks Computercomputer-aided diagnosis (CAD)image processingcomputed tomographyimage segmentationNuclear medicinebusinessTomography X-Ray ComputedAlgorithms
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