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I can answer questions about transmission computed tomography, simulated annealing-based tomography and binary & continuous genetic algorithms-based tomography. I will not be able to answer questions about MRI, fMRI...
I have a five year experience as a research scholar.
Pakistan Institute of Engg. and Applied Sciences, Islamabad, Pakistan.
1. S.A. Qureshi, S.M. Mirza, and M. Arif. Hybrid Simulated Annealing Image Reconstruction for Parallel-Ray Transmission Tomography. Inverse Problems in Science and Engineering, Taylor & Francis 2008 (Online ISSN: 1741–5985, Print ISSN: 1741–5977, DOI: 10.1080/17415970802390085, in Press).
2. S.A. Qureshi, S.M. Mirza, Nasir M. Rajpoot, and M. Arif. A Novel Evolutionary Approach to Tomographic Image Reconstruction. IEEE Transactions in Image Processing, 2008 (in Process).
3. S.A. Qureshi, S.M. Mirza, and M. Arif. Fitness Function Evaluation for Image Reconstruction using Binary Genetic Algorithm for Parallel Ray Transmission Tomography. International Journal of Computer Science and Network Security, Vol. 7(1), pp. 132-137, 2007.
http://paper.ijcsns.org/07_book/200701/200701A19.pdf
4. S.A. Qureshi, S.M. Mirza, and M. Arif. Determination of Optimal Number of Projections and Parametric Sensitivity Analysis of Operators for Parallel-Ray Transmission Tomography using Hybrid Continuous Genetic Algorithm. International Journal of Imaging Systems and Technology, Vol. 17(1), pp. 10-21, 2007 (Online ISSN: 1098-1098, Print ISSN: 0899-9457, DOI: 10.1002/ima.20093).
http://www3.interscience.wiley.com/journal/114278003/abstract?SRETRY=0
5. S.A. Qureshi, S.M. Mirza, and M. Arif. Effect of Number of Projections on Inverse Radon Transform-Based Image Reconstruction by using Filtered Back-Projection for Parallel Beam Transmission Tomography. Science International, 19(1), pp. 5-10, 2007.
6. S.A. Qureshi, S.M. Mirza, and M. Arif. Quality of Inverse Radon Transform-Based Image Reconstruction Using Various Frequency Domain Filters in Parallel Beam Transmission Tomography. Science International, 18(3), pp. 181-186, 2006.
Conference Publications
7. S.A. Qureshi and S.M. Mirza. Inverse Radon Transform-Based Image Reconstruction Modalities. National Conference on Information Technology and Applications, Quetta, pp. 13-25, Apr 21-22, 2005.
8. S.A. Qureshi, S.M. Mirza, and M. Arif. Genetic Algorithm Hybrid with Simulated Annealing for Binary Valued Inverse Radon Transform Approximation through Parallel-Ray Transmission Tomography. 3rd International Conference on 21st Century Mathematics, Lahore, Mar 4-7 2007.
9. S.A. Qureshi, S.M. Mirza, and M. Arif. A Template Based Continuous Genetic Algorithm for Image Reconstruction. 11th IEEE INMIC 2007, (ISBN: 978-1-4244-1552-6, INSPEC Accession Number: 10044950, Current Version Published: 2008-07-09, IEEE Catalog Number: 07EX2000, Library of Congress: 2007905117, DOI: 10.1109/INMIC.2007.4557680), Lahore, pp. 1-6, Dec 28-30, 2007.
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4557680
Book Chapter
10. S. A. Qureshi, S. M. Mirza, and M. Arif, “Optimization of Projections for Parallel-Ray Transmission Tomography using Genetic Algorithm,” in Wireless Networks, Information Processing and Systems, pages 29-39, Springer-Verlag, 2008 (Online ISSN: 978-3-540-89853-5, Print ISSN: 978-3-540-89852-8, DOI: 10.1007/978-3-540-89853-5).
http://www.springerlink.com/content/pr48359671840t32/?p=77b525897bcd4e59a36de03be72fe701&pi=5
PhD (Computer Science), MS (Nuclear Engg.), MSc (Computer Science), BE (Metallurgical Engg. and Materials Science)
• Fellowship for Ph.D. in Computer Science by Higher Education Commission, Islamabad (2004).
• Fellowship for Research Work at the University of Warwick, the United Kingdom during PhD in the Image Processing Group at the Department of Computer Science (2008)
• Fellowship for M.Sc. Nuclear Engineering from Quaid-i-Azam University, Islamabad for the session 1994-96
• University Merit Scholarship by UET, Lahore awarded every year for being declared as the Top Student during BE
• Gold Medalist of BE with HONOURS by UET, Lahore for the session 1988-92
• Secured Bull’s Eye (100% score) in TCP/IP 4.0 and 90% in Networking Essentials and Microsoft Windows NT 4.0 Workstation (MCSE)
It reveals the internal sections of the object by approximation using measured projections data.
Ridgelet transforms usage for approximation of inverse Radon transform.
CT scanning is an inverse problem that is ill-posed. Mathematically, infinite number of projections are required to find the exact Radon transform.
Heavy computational load that is unavoidable.
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