Maximum-likelihood joint image reconstruction and motion estimation with misaligned attenuation in TOF-PET/CT

Physics in Medicine and Biology
Alexandre BousseK Thielemans

Abstract

This work is an extension of our recent work on joint activity reconstruction/motion estimation (JRM) from positron emission tomography (PET) data. We performed JRM by maximization of the penalized log-likelihood in which the probabilistic model assumes that the same motion field affects both the activity distribution and the attenuation map. Our previous results showed that JRM can successfully reconstruct the activity distribution when the attenuation map is misaligned with the PET data, but converges slowly due to the significant cross-talk in the likelihood. In this paper, we utilize time-of-flight PET for JRM and demonstrate that the convergence speed is significantly improved compared to JRM with conventional PET data.

References

Jun 22, 2010·IEEE Transactions on Medical Imaging·Moritz BlumeMagdalena Rafecas
Aug 18, 2012·IEEE Transactions on Medical Imaging·Ahmadreza RezaeiJohan Nuyts
Apr 25, 2014·IEEE Transactions on Medical Imaging·Ahmadreza RezaeiJohan Nuyts

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Citations

Aug 24, 2016·Physics in Medicine and Biology·John E GillamSteven R Meikle
Oct 21, 2017·Physics in Medicine and Biology·Vesna CuplovKris Thielemans
Jul 11, 2021·Seminars in Nuclear Medicine·Yu-Jung Tsai, Chi Liu

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