0000000000970860

AUTHOR

Igor Daskalovski

showing 1 related works from this author

A preliminary PET radiomics study of brain metastases using a fully automatic segmentation method

2020

AbstractBackgroundPositron Emission Tomography (PET) is increasingly utilized in radiomics studies for treatment evaluation purposes. Nevertheless, lesion volume identification in PET images is a critical and still challenging step in the process of radiomics, due to the low spatial resolution and high noise level of PET images. Currently, the biological target volume (BTV) is manually contoured by nuclear physicians, with a time expensive and operator-dependent procedure.This study aims to obtain BTVs from cerebral metastases in patients who underwent L-[11C]methionine (11C-MET) PET, using a fully automatic procedure and to use these BTVs to extract radiomics features to stratify between p…

MalePositron emission tomographyComputer scienceLesion volumelcsh:Computer applications to medicine. Medical informaticsBiochemistry030218 nuclear medicine & medical imagingLesion03 medical and health sciences0302 clinical medicineRadiomicsStructural BiologyArtificial IntelligencemedicineHumansSegmentationNeoplasm Metastasislcsh:QH301-705.5Molecular BiologyCancerActive contour modelRadiomicsmedicine.diagnostic_testBrain Neoplasmsbusiness.industryApplied MathematicsResearchCancerPattern recognitionMiddle AgedPrognosismedicine.diseaseComputer Science ApplicationsCancer treatmentBiological target volumelcsh:Biology (General)Positron emission tomographyFeature (computer vision)030220 oncology & carcinogenesisPositron-Emission TomographyFully automaticlcsh:R858-859.7FemaleActive contourArtificial intelligencemedicine.symptomRadiomicActive contour; Biological target volume; Cancer; Positron emission tomography; Radiomics.businessBMC Bioinformatics
researchProduct