Publication Type : Conference Proceedings
Publisher : International Conference on Power, Control, Signals and Instrumentation Engineering
Source : International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI-2017), , Saveetha Engineering College, Chennai (2017)
Url : https://ieeexplore.ieee.org/abstract/document/8392098
Keywords : Computer tomography, entropy, Magnetic Resonance Imaging, Medical image fusion
Campus : Bengaluru
School : Department of Computer Science and Engineering, School of Engineering
Department : Computer Science
Year : 2017
Abstract : Medical 2-D Data fusion is process of combining two or more different types of 2-D Data which in this case is CT and PET Scan images having different morphological structure as a one image so that the fused image will reflects more feature as compare to original image fusion process of two images aims to get a more in depth analysis of the picture. Fusion of 2-D Medical Data produces the anatomical details which single image fails to deliver. This useful information obtained from fused medical images are used by the surgeons and radiologist for treatment planning and computer aided surgeries. There is need to combine more information so that fused image will be more accurate for human perception as well as computer processing. This research is intended to analyze fusion of CT and PET images by using various basis function by using seven mother wavelets. This research further explores the analysis of the performance of each mother wavelet on anatomical features in termsof accuracy and precision.
Cite this Research Publication : A. R. Doke and Dr. Tripty Singh, “Comparative Analysis of Wavelet Transform Methods for Fusion of CT and PET Images”, International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI-2017), . Saveetha Engineering College, Chennai, 2017.