Abstract
Diagnostic radiology has traditionally been based on the evaluation of images by human observers, but neither an image nor a human is absolutely essential to the problem. The best diagnostic system is not necessarily one that produces pleasing images or has a good MTF or good signal-to-noise ratio (SNR). Rather, the only meaningful measure of system performance is the correctness of the final diagnosis. The central question in system design is: How can one collect the best data set with which to make a diagnosis? To even attempt to answer this question, we must first decide what organs and what diseases are to be studied by a system or, in other words, what the precise task of the system is. In addition, a careful definition of “best” must be given. Finally, some strategy must be defined for realizing the best data-collection system. It is our purpose to show that such a systematic approach to total system design is possible in principle (although very difficult in practice), and to summarize current efforts at the University of Arizona towards realization of this goal.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Smith, W. E., R. G. Paxman, H. H. Barrett, “Image reconstruction from coded data: I. Reconstruction algorithms and experimental results,” J. Opt. Soc. Am. A 4, 399 (1985).
Milster, T. D., L. A. Selberg, H. H. Barrett, R. L. Easton, G. R. Rossi, J. Arendt, R. G. Simpson, “A modular scintillation camera for use in nuclear medicine,” IEEE Trans. Nucl. Sci. NS-31, 578 (1984).
Smith, W. E., H. H. Barrett, R. G. Paxman, “Reconstruction of objects from coded images by simulated annealing,” Opt. Lett. 8, 199 (1983).
Paxman, R. G., W. E. Smith, H. H. Barrett, “Two algorithms for use with an orthogonal-view coded-aperture system,” J. Nucl. Med. 25, 700 (1984).
Myers, K. J., “Visual Perception in Correlated Noise,” Ph.D. dissertation, Univ. of Az. (1985).
Fukunaga, K., Introduction to Statistical Pattern Recognition, Academic Press, New York (1972).
Hotelling, H., “The generalization of Student’s ratio,” Ann. Math. Stat. 2, 360 (1931).
Barrett, H. H., W. E. Smith, K. J. Myers, T. D. Milster, R. D. Fiete, “Quantifying the performance of imaging systems,” Proceedings of the SPIE, 535, 1985.
Paxman, R. G., “Coordinated Design of Restoration Algorithm and Coded Aperture,” Ph.D. Dissertation, Univ. of Az. (1984).
Smith, W. E., R. G. Paxman, H. H. Barrett, “Application of simulated annealing to coded-aperture design and tomographic reconstruction,” IEEE Trans, on Nucl. Sci. NS-32, 758 (1985).
Smith, W. E., H. H. Barrett, R. D. Fiete, K. J. Myers, T. J. Roney, “A scheme for the optimization of imaging systems based on object-class separability,” Proceedings of Image Science’85, Helsinki, Finland, 11–14 June 1985.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1986 Martinus Nijhoff Publishers, Dordrecht
About this chapter
Cite this chapter
Myers, K.J. et al. (1986). A Systematic Approach to the Design of Diagnostic Systems for Nuclear Medicine. In: Bacharach, S.L. (eds) Information Processing in Medical Imaging. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-4261-5_30
Download citation
DOI: https://doi.org/10.1007/978-94-009-4261-5_30
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-8392-8
Online ISBN: 978-94-009-4261-5
eBook Packages: Springer Book Archive