Dynamic PET image denoising
Dynamic PET image denoising
- Author(s): P. Gonzalez ; B. Alcaino ; R. Barrientos ; M. Mora ; F. Tirado ; C. Tauber
- DOI: 10.1049/cp.2018.1279
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- Author(s): P. Gonzalez ; B. Alcaino ; R. Barrientos ; M. Mora ; F. Tirado ; C. Tauber Source: 9th International Conference on Pattern Recognition Systems (ICPRS 2018), 2018 page (6 pp.)
- Conference: 9th International Conference on Pattern Recognition Systems (ICPRS 2018)
- DOI: 10.1049/cp.2018.1279
- ISBN: 978-1-78561-887-1
- Location: Valparaíso, Chile
- Conference date: 22-24 May 2018
- Format: PDF
Dynamic Positron Emission Tomography (dPET) images are inherently affected by noise and low spatial resolution. The problems aforementioned may lead to incorrect estimation of the uptake of the tracer in tissues. In this work, we present a novel method for enhancing the signal-to-noise ratio of dPET images. The method consist in a edge preserving filter based upon an indirect image. The indirect image give orientation to the treatment so as to process all frames at the same fashion. We exploit the spatial and temporal information along the entire sequence in order to adapt the filtering process to preserve edges between functional regions. Comparative experimentations on realistic simulations validate the potential of the proposed method.
Inspec keywords: medical image processing; positron emission tomography; image denoising; image filtering
Subjects: Nuclear medicine, emission tomography; Nuclear medicine, emission tomography; Patient diagnostic methods and instrumentation; Optical, image and video signal processing; Computer vision and image processing techniques; Biology and medical computing
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