Image reconstruction using microwave tomography for breast cancer detection on distributed memory machine

Proceedings of the International Conference on Parallel Processing

Volumn , Issue , 2007, Pages 36-43

  Xu, Meilian ^a   Sabouni, Abas ^a   Thulasiraman, Parimala ^a   Noghanian, Sima ^a   Pistorius, Stephen ^b  

^a UNIVERSITY OF MANITOBA   (Canada)

^b CANCERCARE MANITOBA   (Canada)

Author keywords

Breast cancer detection; Finite difference time domain; Microwave tomography; Parallel finite difference time domain; Parallel genetic algorithm

Indexed keywords

DIAGNOSIS; DIELECTRIC PROPERTIES; DISEASES; FINITE DIFFERENCE TIME DOMAIN METHOD; GENETIC ALGORITHMS; ITERATIVE METHODS; MEDICAL IMAGING; MEMORY ARCHITECTURE; MICROWAVES; NUMERICAL MODELS; TIME DOMAIN ANALYSIS; TOMOGRAPHY;

BREAST CANCER DETECTION; BREAST STRUCTURE; BREAST TISSUES; DISTRIBUTED MEMORY MACHINES; FINITE -DIFFERENCE TIME DOMAINS (FDTD); MICROWAVE TOMOGRAPHY; PARALLEL GENETIC ALGORITHMS; SCREENING METHODS;

IMAGE RECONSTRUCTION;

EID: 47249153593     PISSN: 01903918     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPP.2007.47     Document Type: Conference Paper

References (15)

1. S. Caorsi, A. Massa, and M. Pastroino. A crack identification microwave procedure based on a genetic algorithm for nondestructive testing. IEEE Trans. on Microwave Theory and Techniques, 49(12):pp. 1812-1820.
2. B. Chen, D. G. Fang, and B. H. Zhou. Modified Berenger PML Absorbing Boundary Condition for FDTD Meshes. IEEE Microwave and Guided Wave Letters, 5(11):pp. 399-401, Nov 1995.
3. M. Converse, E. J. Bond, B. D. V. Veen, and S. C. Hagness. A Computational Study of Ultra-Wideband Versus Narrowband Microwave Hyperthermia for Breast Cancer Treatment. IEEE Trans. on Microwave Theory and Techniques, 54(5):2169-2180, May 2006.
4. E. C. Fear, P. M. Meaney, and M. A. Stuchly. Microwaves for Breast Cancer Detection. IEEE Potentials, 22(1):pp. 12-18, Feb/Mar 2003.
5. J. Ferlay, F. Bray, P. Pisani, and D. Parkin. Globocan 2000: Cancer Incidence, Mortality and Prevalence Worldwide. IARC CancerBase, Version 1.0(5), 2001.
6. X. Li and S. C. Hagness. A Confocal Microwave Imaging Algorithm for Breast Cancer Detection. IEEE Microwave Wireless Components Lett., 11:pp. 130-132, 2001.
7. P. Meaney, M. Fanning, D. Li, S. Poplack, and K. Paulsen. A Clinical Prototype for Active Microwave Imaging of the Breast. IEEE Trans. on Microwave Theory and Techniques, 48(11):pp. 1841-1853, November 2000.
8. S. Noghanian, A. Sabouni, and S. Pistorius. A Numerical Approach to Microwave Imaging based on Genetic Algorithm optimization. In Proc. of SPIE Symposium Health Montitoring and Diagnostics, San Diego, CA, February 2006.
9. M. Patlak, S. J. Nass, I. C. Henderson, and J. C. Lashof. Mammography and Beyond: Developing Technologies for the Early Detection of Breast Cancer: A Non-Technical Summary. National Academy Press, 2001.
10. A. Sabouni, S. Noghanian, and S. Pistorius. Microwave tomography for breast cancer detection: study of dispersion and heterogeneity effects. In Symposium on Antenna Technology and Applied Electromagnetics, Montreal, Quebec, Canada, July 2006.
11. R. N. Strickland. Image-Processing Techniques for Tumor Detection. Marcel Dekker, Inc., 2002.
12. M. Su, I. EI-kady, D. A. Bader, and S. Lin. A Novel FDTD Application Featuring OpenMP-MPI Hybrid Parallelization. In ICPP, pages pp. 373-379, Montreal, Canada, August 2004.
13. A. Taflove and S. Hagness. Computational Electrodynimics: The Finite-Difference Time-Domain Method, Second Edition. Artech House, 2000.
14. K. Yee. Numerial Solution of Initial Boundary Value Problems Involving Maxwell's Equations in Isotropic Media. IEEE Trans. on Antennas and Propagation, AP-14(8):pp. 302-307, May 1966.
15. W. Yu, R. Mittra, T. Su, Y. Liu, and X. Yang. Parallel Finite-Difference Time-Domain Method. Artech House publishers, July 2006.