Stochastic resonance: An approach for enhanced medical image processing

2007 IEEE/NIH Life Science Systems and Applications Workshop, LISA

Volumn , Issue , 2007, Pages 253-256

  Peng, Renbin ^a   Chen, Hao ^a   Varshney, Prarnod K ^a   Michels, James H ^b  

^a SYRACUSE UNIVERSITY   (United States)

^b JHM Technologies LLC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CIRCUIT RESONANCE; IMAGE ENHANCEMENT; MAGNETIC RESONANCE; STOCHASTIC SYSTEMS;

MEDICAL IMAGE PROCESSING SYSTEMS; NOVEL APPLICATIONS; STOCHASTIC RESONANCES;

MEDICAL IMAGE PROCESSING;

EID: 50849089286     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/LSSA.2007.4400932     Document Type: Conference Paper

References (19)

1. H. Zhu, Medical image processing overview," Course Notes, University of Calgary, http://www.fields.uroronto. Co/programs/scientific/ 03-04/mathmedicine/notes/ZHU_nores.pdf.
2. J. S. Duncan and N. Ayache, "Medical image analysis: progress over two decades and the challenges ahead," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 22, no. 1. Jan. 2000.
3. I. N. Bankman. Ed., Handbook of Medical Imaging - Processing and Analysis. New York: Academic Press, 2000.
4. S. Constantinos, M. Pattichis. and E. Micheli-Tzanakou. "Medical imaging fusion applications: An overview," in Proc. Thirty-fifth Asilomar Conference on Signals, Systems and Computer, vol. 2, 2001, pp. 1263-1267.
5. S. Angenent, E. Pichon, and A. Tannenbaum, "Mathematical methods in medical image processing," Bulletin of the American Mathematical Society, 2006.
6. G. Kolata, "Study questions computerized breast cancer detection," The New York Times National, Apr. 2007.
7. R. Benzi, A. Sutera, and A. Vulpiani, "The mechanism of stochastic resonance," Journal of Physics A: Mathematical and General, vol. 14, pp. L453-L457, 1981.
8. L. Gammaitoni, P. Hänggi. P. Jung. and F. Marchesoni, "Stochastic resonance," Rev. Mod. Phys., vol. 70, no. 1, pp. 223-287, Jan. 1998.
9. A. Asdi and A. Tewfik, "Detection of weak signals using adaptive stochastic resonance," in International Conference on Acoustics, Speech, and Signal Processing, (ICASSP 95), vol. 2, May 1995, pp. 1332-1335.
10. S. Zozor and P.-O. Amblard, "On the use of stochastic resonance in sine detection." Signal Processing. vol. 7, pp. 353-367. March 2002.
11. H. Chen, P. K. Varshney, J. H. Michels, and S. M. Kay, "Theory of the stochastic resonance effect in signal detection: Part 1 - fixed detectors," IEEE Transactions on Signal Processing, vol. 55, no. 7, pp. 3172-3184, July 2007.
12. H. Chen and P. K. Varshney. "Theory of the stochastic resonance effect in signal detection: Part 2 - variable detectors," to appear in IEEE Transactions on Signal Processing, 2007.
13. H. Chen, P. K. Varshney, and J. H. Michels, "Noise enhanced parameter estimation." To appear in IEEE Transactions on Signal Processing, 2007.
14. H. Chen. "Noise enhanced signal detection and estimation." Ph.D. dissertation, Syracuse University, Syracuse, NY, 2007.
15. K. R. Castleman, Digital Image Processing, 2nd ed. Prentice Hall, 1995.
16. K. Zuiderveld, "Contrast limited adaptive histogram equalization," in Graphics Gems IV, P. Heckbert, Ed. Bosron: AP Professional, 1994, pp. 474-485.
17. C. Li, C. Xu, C. Gui, and M. D. Fox, "Level ser evolution without re-initialization: A new variational formulation," in Proc. CVPR 2005, vol. 1, 2005, pp. 430-436.
18. R. Peng, "Ph.d. dissertation in progress," Syracuse University.
19. N. Karssemeijer, "A stochastic model for automated detection of calcifications in digital mammograms," in 12th International Conference on Information Processing in Medical Imaging, Wye, UK, 1991, pp. 227-238.