Summary
In this paper we present techniques for deriving inversion algorithms in medical imaging. To this end we present a few imaging technologies and their mathematical models. They essentially consist of integral operators. The reconstruction is then recognized as the solution of an inverse problem. General strategies, the socalled approximate inverse, for deriving a solution are adapted. Results from real data are presented.
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© 2008 Springer Science+Business Media, LLC
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Louis, A.K. (2008). Optimal reconstruction kernels in medical imaging. In: Alves, C.J.S., Pardalos, P.M., Vicente, L.N. (eds) Optimization in Medicine. Springer Optimization and Its Applications, vol 12. Springer, New York, NY. https://doi.org/10.1007/978-0-387-73299-2_7
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DOI: https://doi.org/10.1007/978-0-387-73299-2_7
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-73298-5
Online ISBN: 978-0-387-73299-2
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