TY  - JOUR
TI  - Fusion of CT and MR Liver Images by SURF-Based Registration
AB  - Medical imaging plays an important role in the diagnosis and treatment of different diseases. Images with moredetails are obtained by image fusion for more accurate analysis of medical images. In this study, Computed Tomography(CT) and Magnetic Resonance (MR) images of the liver from The Cancer Genome Atlas Liver Hepatocellular Carcinoma(TCGA-LIHC) are fused using different combinations of different wavelet types such as daubechies, coiflet and symlet. Toaccomplish this task, first the preprocessing steps are completed, and then registration is performed using Speed up RobustFeatures (SURF). As a result, to measure the quality of the obtained fusion image Peak Signal-to-Noise Ratio (PSNR),Mean Squared Error (MSE), Structural Similarity Index Measurement (SSIM), Mean Structural Similarity (MSSIM) andFeature Similarity Index (FSIM) metrics are used.
AU  - ASLAN, Muhammet Fatih
AU  - SABANCI, Kadir
AU  - Durdu, Akif
PY  - 2019
JO  - International Journal of Intelligent Systems and Applications in Engineering
VL  - 7
IS  - 4
SN  - 2147-6799
SP  - 216
EP  - 221
DB  - TRDizin
UR  - http://search/yayin/detay/331858
ER  -