Publication Type : Conference Paper
Publisher : 2017 International Conference on Computer Communication and Informatics,
Source : 2017 International Conference on Computer Communication and Informatics, ICCCI 2017, Institute of Electrical and Electronics Engineers Inc. (2017)
Url : https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041443053&doi=10.1109%2fICCCI.2017.8117685&partnerID=40&md5=c1dc3519cab785778121354dc1bc7c5b
ISBN : 9781467388542
Keywords : Computerized tomography, Discrete cosine transforms, Fused images, Fusion methods, Image fusion, Image modality, Inverse problems, Magnetic Resonance Imaging, Medical fields, Medical imaging, Mutual informations, PET images, Shearlet transforms, Singular value decomposition, Source images
Campus : Bengaluru
School : School of Engineering
Department : Electronics and Communication
Year : 2017
Abstract : In medical field, different image modalities like PET, CT, MRI etc are used for fusion. The fused image is less random, less redundant and has more detailed information. In this paper, we proposed a method to combine MRI and PET images using a fusion method involving shearlet transform and discrete cosine transform. Firstly, source images are decomposed using shearlet transform, then the obtained low pass and high pass sub-bands are processed and fused. The resultant image is constructed from fused coefficients by using Inverse shearlet transform. Edge indexing (QAB/F) and mutual information (MI) are used for evaluating performance of the proposed method, STDCT and the results are compared with STSVD.
Cite this Research Publication : C. K. Chaitanya, Reddy, G. S., Bhavana V., and Varma, G. S. C., “PET and MRI medical image fusion using STDCT and STSVD”, in 2017 International Conference on Computer Communication and Informatics, ICCCI 2017, 2017.