In these days, using medical image is very important in
hospitals. These medical images give a lot of data about human body for example
Computed Tomography (CT) identifies the bone structure, Magnetic Resonance
Image (MRI) image gives information about tissue data, Positron on Emission
Tomography (PET) and Single photon release computed tomography (SPECT) give
human body functionality data. but these images can't give clear data image for
disease diagnosis and treatment planning. So, these different modality complementary
data for effective disease analysis is required. In this work we fused two
images (CT and MRI) by using discrete wavelet transform then applied this
transform on all types of wavelets (haar, Daubechies, Mexican Hat, Symlets,
Morlet, Shannon).
Birincil Dil | İngilizce |
---|---|
Bölüm | Engineering Sciences |
Yazarlar | |
Yayımlanma Tarihi | 31 Aralık 2019 |
Gönderilme Tarihi | 4 Nisan 2019 |
Kabul Tarihi | 24 Mayıs 2019 |
Yayımlandığı Sayı | Yıl 2019 |