Geometric problem in medical imaging

Stephen B. Robinson; Paul F. Hemler; Richard L. Webber

doi:10.1117/12.402442

4 October 2000 Geometric problem in medical imaging

Stephen B. Robinson, Paul F. Hemler, Richard L. Webber

Proceedings Volume 4121, Mathematical Modeling, Estimation, and Imaging; (2000) https://doi.org/10.1117/12.402442
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

Abstract

In this paper we provide a rigorous mathematical foundation for Tuned- Aperture Computed Tomography, a generalization of standard tomosynthesis that provides a significantly more flexible diagnostic tool. We also describe how the general TACT algorithm simplifies in important special cases, and we investigate the possibility of optimizing the algorithm by reducing the number of fiducial reference points. The key theoretical problem is how to sue information within an x-ray image to discover, after the fact, what the relative positions of the x-ray source, the patient, and the x-ray detector were when the x-ray image was created.

Citation Download Citation

Stephen B. Robinson, Paul F. Hemler, and Richard L. Webber "Geometric problem in medical imaging", Proc. SPIE 4121, Mathematical Modeling, Estimation, and Imaging, (4 October 2000); https://doi.org/10.1117/12.402442

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