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NIBART: A new interval based algebraic reconstruction technique for error quantification of emission tomography images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2009) 5761 LNCS(PART 1) 148-155
DOI: 10.1007/978-3-642-04268-3_19
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Abstract

This article presents a new algebraic method for reconstructing emission tomography images. This approach is mostly an interval extension of the conventional SIRT algorithm. One of the main characteristic of our approach is that the reconstructed activity associated with each pixel of the reconstructed image is an interval whose length can be considered as an estimate of the impact of the random variation of the measured activity on the reconstructed image. This work aims at investigating a new methodological concept for a reliable and robust quantification of reconstructed activities in scintigraphic images. © 2009 Springer-Verlag.

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Strauss, O., Lahrech, A., Rico, A., Mariano-Goulart, D., & Telle, B. (2009). NIBART: A new interval based algebraic reconstruction technique for error quantification of emission tomography images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5761 LNCS, pp. 148–155). https://doi.org/10.1007/978-3-642-04268-3_19

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