Implementation and Validation of an efficient decomposition based system matrix approach incorporating subject’s physical phenomena
| Autor: | Frederic Boisson, Benjamin Auer, Virgile Bekaert, David Brasse |
|---|---|
| Přispěvatelé: | Institut Pluridisciplinaire Hubert Curien (IPHC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
SPECT image reconstruction
Computer science Computation 0206 medical engineering Monte Carlo method Single photon emission computed tomography phantoms 02 engineering and technology Iterative reconstruction medical image processing Imaging phantom 030218 nuclear medicine & medical imaging Matrix decomposition Reduction (complexity) reconstructed images Scattering 03 medical and health sciences daily imaging clinical routine 0302 clinical medicine decomposition-based system matrix approach image artifacts reduction reconstruction workflow standard computer Monte Carlo simulation photon transport [PHYS]Physics [physics] modified NU-4 IQ phantom Perspective (graphical) Attenuation Monte Carlo methods Detectors Gold standard (test) image reconstruction 020601 biomedical engineering Photonics low noise system matrix personalized image reconstruction Algorithm system matrix decomposition |
| Zdroj: | 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, Oct 2017, Atlanta, United States. ⟨10.1109/NSSMIC.2017.8532617⟩ |
| DOI: | 10.1109/NSSMIC.2017.8532617⟩ |
| Popis: | International audience; In small animal Single Photon Emission Computed Tomography (SPECT), attenuation and scatter introduce important artifacts in the reconstructed images, which could lead to misdiagnosis for subject's follow-up. Gold standard Monte Carlo Simulation (MCS) is one of the well-established tools that has been used in SPECT image reconstruction due to its ability to accurately model photon transport. However, MCS requires extensive computation time to obtain a low noise system matrix and are therefore inappropriate for the rate of daily exams performed in both clinical and preclinical routine: an improvement in simulation speed is thus mandatory. In this work, we validated, compared to a state of the art approach and by using a modified NU-4 IQ phantom, our efficient and simplified modeling of the physical phenomena occurring in the subject. Our approach based on a system matrix decomposition, associated to a scatter pre-calculated database method, demonstrated an acceptable time on a standard computer for daily imaging small animal follow-up (around 1h), leading to a personalized image reconstruction. The reconstruction workflow leads to significant image artifacts reduction as well as a 13% (on average) improvement in terms of recovery coefficients. Results presented in this study, conduct to the validation of the developed approach in comparison with a state of the art one which appears to be far too long for a daily exam perspective. |
| Databáze: | OpenAIRE |
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