Akciğer Tümörlü Hastaların PET ve BT Görüntülerinin Çakıştırılıp Birleştirilmesi

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Özet

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.

Açıklama

Kayaalti, Omer/0000-0002-1630-1241;

Kurum Yazarı Profilleri

Anahtar kelimeler

Biological Organs, Biomedical Engineering, Computerized Tomography, Diagnosis, Medical Imaging, Nuclear Medicine, Positron Emission Tomography, Principal Component Analysis, Lung Tumor, Medical Fields, Mutual Informations, Non Small Cell Lung Cancer, Positron Emission Tomography (Pet), Principal Component Analysis Method, Treatment Planning, Wavelet Methods, Image Fusion

Bilim Dalları

03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

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