Abstract
The importance of accurate attenuation correction in single photon emission computed tomography (SPECT) has been widely recognized. In this paper, we propose a novel scheme of simultaneous reconstruction of the tissue attenuation map and the radioactivity distribution from SPECT emission sinograms, which is obviously beneficial when the transmission data is missing for cost or efficiency reasons. Our strategy combines the SPECT image formation and data measurement models, whereas the attenuation parameters are treated as random variables with known prior statistics. After converting the models to state space representation, the extended Kalman filtering procedures are adopted to linearize the equations and to provide the joint estimates in an approximate optimal sense. Experiments have been performed on synthetic data and real scanning data to illustrate abilities and benefits of the method.
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Tian, Y., Liu, H., Shi, P. (2006). Simultaneous Reconstruction of Tissue Attenuation and Radioactivity Maps in SPECT. In: Larsen, R., Nielsen, M., Sporring, J. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006. MICCAI 2006. Lecture Notes in Computer Science, vol 4190. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11866565_49
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DOI: https://doi.org/10.1007/11866565_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44707-8
Online ISBN: 978-3-540-44708-5
eBook Packages: Computer ScienceComputer Science (R0)Springer Nature Proceedings Computer Science
Keywords
- Single Photon Emission Compute Tomography
- Single Photon Emission Compute Tomography Image
- Attenuation Parameter
- State Space Representation
- Tissue Attenuation
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.
