A New Transform for Medical Image Denoising: Fused Tetrolet Transform

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dc.contributor.authorOzturk, Ayse Elif
dc.contributor.authorCeylan, Murat
dc.date.accessioned2020-03-26T19:22:56Z
dc.date.available2020-03-26T19:22:56Z
dc.date.issued2016
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractDenoising is a very important task of medical image processing. Noiseless images provide more accurate diagnosis. Using multi-resolution analysis methods for carrying out medical denoising has become more popular in recent days. Tetrolet transform which is an adaptive form of Haar wavelet transform is one of these methods. In this study, a new form of Tetrolet called "fused Tetrolet transform" is proposed. Denoising performance of this novel method is compared to Wavelet transform, standard Tetrolet transform and four other types of Tetrolet transform. Fused Tetrolet and the modified Tetrolet types are initially used for denoising. In this study, random, gaussian and poisson noises are added on 30 liver magnetic resonance (MR) images and 30 mammography images separately and then removed. Peak signal to noise ratio and structural similarity index are used as evaluation criteria. The results show that fused Tetrolet transform surpasses the four modified forms of Tetrolet, standard Tetrolet and Wavelet while denoising both mammography and liver MR images for all types of noise.en_US
dc.description.sponsorshipScientific and Technical Research Council of Turkey (TUBITAK)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [113E184]en_US
dc.description.sponsorshipThis study is supported by The Scientific and Technical Research Council of Turkey (TUBITAK, Project No: 113E184).en_US
dc.identifier.doi10.1166/jmihi.2016.1716en_US
dc.identifier.endpage366en_US
dc.identifier.issn2156-7018en_US
dc.identifier.issn2156-7026en_US
dc.identifier.issue2en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage358en_US
dc.identifier.urihttps://dx.doi.org/10.1166/jmihi.2016.1716
dc.identifier.urihttps://hdl.handle.net/20.500.12395/33188
dc.identifier.volume6en_US
dc.identifier.wosWOS:000374145800009en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherAMER SCIENTIFIC PUBLISHERSen_US
dc.relation.ispartofJOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectTetrolet Transformsen_US
dc.subjectMedical Image Denoisingen_US
dc.subjectFusionen_US
dc.subjectLiver Magnetic Resonanceen_US
dc.subjectMammographyen_US
dc.titleA New Transform for Medical Image Denoising: Fused Tetrolet Transformen_US
dc.typeArticleen_US

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