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.
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Keywords
- Reconstruction Error
- Reconstructed Interval
- Iterative Reconstruction Technique
- Emission Tomography Image
- Reconstructed Activity
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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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: Yang, GZ., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009. MICCAI 2009. Lecture Notes in Computer Science, vol 5761. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04268-3_19
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DOI: https://doi.org/10.1007/978-3-642-04268-3_19
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