Ayyildiz, OguzhanYilmaz, BulentKaracavus, SeyhanKayaalti, OmerIcer, SemraEset, KubraKaya, Eser2025-09-252025-09-2520159781467377652https://doi.org/10.1109/TIPTEKNO.2015.7374594https://hdl.handle.net/20.500.12573/2991Kayaalti, Omer/0000-0002-1630-1241;Image fusion attracts attention in medical field due to complementary behavior and application such as diagnosis and treatment planning. In this study, first positron emission tomography (PET) and computed tomography (CT) images coming from 8 nonsmall cell lung cancer were registered then wavelet and principal component analysis methods were applied to fuse images. According to mutual information metric and nuclear medicine expert wavelet method gave better results when compared to PCA.trinfo:eu-repo/semantics/closedAccessBiological OrgansBiomedical EngineeringComputerized TomographyDiagnosisMedical ImagingNuclear MedicinePositron Emission TomographyPrincipal Component AnalysisLung TumorMedical FieldsMutual InformationsNon Small Cell Lung CancerPositron Emission Tomography (Pet)Principal Component Analysis MethodTreatment PlanningWavelet MethodsImage FusionConference Object10.1109/TIPTEKNO.2015.73745942-s2.0-84964255505