..............................
..............................
..............................
Implementation of Contextual Clustering Method for Statistical Parametric Maps in Functional
[1] Ardekani B., Kershaw J., Kashikura K., and Kanno I., Activation Detection in Functional MRI Using Subspace Modeling and Maximum Implementation of Contextual Clustering Method for Statistical Parametric Maps in Functional 39 Likelihood Estimation, IEEE Transactions on Medical Images , vol. 18, no. 2, pp. 101-114, 1996.
[2] Bandettini P., Jesmanowicz A., Wong E., and Hyde J., Processing Strategies or Time-Course Data Sets in Functional MRI of the Human Brain, Magnetic Resonance in Medicine , vol. 30, no. 2, pp. 161-173, 2003.
[3] Brammer M., (1998) Multidimensional Wavelet Analysis of Functional Magnetic Resonance Images, Human Brain Mapping , vol. 6, no. 5, pp. 378-382, 1998.
[4] Bullmore E., Brammer M., Williams S., Rabe- Hesketh S., Janot N., David A., Mellers J., Howard R., and Sham P., Statistical Methods of Estimation and Inference for Functional MR Image Analysis, Magnetic Resonance in Medicine , vol. 35, no. 1, pp. 261-277, 1996.
[5] Friston K., Holmes A., Worsley K., Poline J., Frith C., and Frackowiak R., Statistical Parametric Maps in Functional Imaging: A General Linear Approach, Human Brain Mapping , vol. 2, no. 4, pp. 189-210,1995.
[6] Ogawa S., Lee T., Kay A., and Tank D., Brain Magnetic Resonance Imaging with Contrast Dependent on Blood Oxygenation , Proceedings of the National Academy of Sciences. vol. 87, no. 4, pp. 9868-9872, 1990.
[7] Kkleinschmidt A., Requardt M., Merboldt K., and Frahm J., On The Use of Temporal Correlation Coefficients for Magnetic Resonance Mapping of Functional Brain Activation: Individualized Thresholds and Spatial Response Delineation, International Journal Imaging Systems and Technology , vol. 6 , no. 10 , pp. 238- 244, 1995.
[8] Kwong K., Functional Magnetic Resonance Imaging with Echo Planar Imaging , Magnetic Resonance in Medicine , vol. 11 , no. 2 , pp. 1-20, 1995.
[9] Kuppusamy K., Lin W., and Haacke E., Statistical Assesment of Crosscorrelation and Variance Methods and the Importance of Electro- Cardiogram Gating in Functional Magnetic Resonance Imaging, Magnetic Resonance in Medicine , vol. 15, no. 2 , pp. 169-181, 1997.
[10] Marchini J. and Ripley B., A New Statistical Approach to De tecting Significant Activation in Functional MRI, NeuroImage , vol. 12, no. 4 , pp. 366-380, 2000.
[11] Senthamarai K. and Vijayalakshmi C., Implementation of Artificial Neural Network With Hidden Markov Model for Analyzing the Genetic Code, Journal of Engineering and Applied Sciences , vol. 2, no. 1, pp. 17-29, 2007. Senthamarai Kannan obtained his MSc, MPhil and PhD, degrees in Statistics from Annamalai University. He joined the Department of Statistics, Manonmaniam Sundaranar University in the year 1991 as a lecturer and was selected for the post of reader in April, 1998. C. Vijayalakshmi obtained the degree of MSc operations research and computer applications from REC Trichy, M.Phil operations research, from VMRFU, Salem, and submitted his PhD in Manonmaniam Sundaranar University, Tirunelveli entitled Stochastic Processes, General Bulk Queues and its Applications .