0000000000117758

AUTHOR

S. Donadio

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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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