Segmentation of Alzheimer's Disease in Pet Scan Datasets using Matlab

作者: Meena A , Raja K

DOI: 10.18000/IJISAC.50121

关键词:

摘要: Positron Emission Tomography (PET) scan images are one of the bio medical imaging techniques similar to that MRI but PET helpful in finding development tumors. The requires expertise segmentation where clustering plays an important role automation process. such is manual automate process used. Clustering commonly known as unsupervised learning n dimensional data sets clustered into k groups (k

参考文章(19)
Ralph Myers, Vin Cunningham, Dale Bailey, Quantification of brain function using PET Academic Press. ,(1996)
M Bister, CS Yap, KH Ng, CH Tok, None, Increasing the speed of medical image processing in MatLab. Biomedical Imaging and Intervention Journal. ,vol. 3, ,(2007) , 10.2349/BIIJ.3.1.E9
Xinrui Huang, Yun Zhou, Shangliang Bao, Sung-Cheng Huang, Clustering-based linear least square fitting method for generation of parametric images in dynamic FDG PET studies International Journal of Biomedical Imaging. ,vol. 2007, pp. 65641- 65641 ,(2007) , 10.1155/2007/65641
Paul D. Acton, Lyn S. Pilowsky, Hank F. Kung, Peter J. Ell, Automatic segmentation of dynamic neuroreceptor single-photon emission tomography images using fuzzy clustering. European Journal of Nuclear Medicine and Molecular Imaging. ,vol. 26, pp. 581- 590 ,(1999) , 10.1007/S002590050425
Dzung L. Pham, Jerry L. Prince, An adaptive fuzzy C -means algorithm for image segmentation in the presence of intensity inhomogeneities Pattern Recognition Letters. ,vol. 20, pp. 57- 68 ,(1999) , 10.1016/S0167-8655(98)00121-4
Jana Schmidt, Andreas Hapfelmeier, Marianne Mueller, Robert Perneczky, Alexander Kurz, Alexander Drzezga, Stefan Kramer, Interpreting PET scans by structured patient data: a data mining case study in dementia research Knowledge and Information Systems. ,vol. 24, pp. 149- 170 ,(2010) , 10.1007/S10115-009-0234-Y
L.O. Hall, A.M. Bensaid, L.P. Clarke, R.P. Velthuizen, M.S. Silbiger, J.C. Bezdek, A comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images of the brain IEEE Transactions on Neural Networks. ,vol. 3, pp. 672- 682 ,(1992) , 10.1109/72.159057
Ron Brookmeyer, Elizabeth Johnson, Kathryn Ziegler-Graham, H. Michael Arrighi, Forecasting the global burden of Alzheimer's disease Alzheimer's & Dementia. ,vol. 3, pp. 186- 191 ,(2007) , 10.1016/J.JALZ.2007.04.381