English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

<?Pub Dtl?>This work provides an insight into positron emission tomography (PET) joint image reconstruction/motion estimation (JRM) by maximization of the likelihood, where the probabilistic model accounts for warped attenuation. Our analysis shows that maximum-likelihood (ML) JRM returns the same reconstructed gates for any attenuation map (<formula formulatype="inline"><tex Notation="TeX">$\mu$</tex> </formula>-map) that is a deformation of a given <formula formulatype="inline"><tex Notation="TeX">$\mu$</tex></formula>-map, regardless of its alignment with the PET gates. We derived a joint optimization algorithm accordingly, and applied it to simulated and patient gated PET data. We first evaluated the proposed algorithm on simulations of respiratory gated PET/CT data based on the XCAT phantom. Our results show that independently of which <formula formulatype="inline"><tex Notation="TeX">$\mu$</tex></formula>-map is used as input to JRM: (i) the warped <formula formulatype="inline"> <tex Notation="TeX">$\mu$</tex></formula>-maps correspond to the gated <formula formulatype="inline"><tex Notation="TeX">$\mu$</tex></formula>-maps, (ii) JRM outperforms the traditional post-registration reconstruction and consolidation (PRRC) for hot lesion quantification and (iii) reconstructed gated PET images are similar to those obtained with gated <formula formulatype="inline"><tex Notation="TeX">$\mu$</tex></formula>-maps. This suggests that a breath-held <formula formulatype="inline"><tex Notation="TeX">$\mu$</tex></formula>-map can be used. We then applied JRM on patient data with a <formula formulatype="inline"><tex Notation="TeX">$\mu$</tex></formula>-map derived from a breath-held high resolution CT (HRCT), and compared the results with PRRC, where each reconstructed PET image was obtained with a corresponding cine-CT gated <formula formulatype="inline"><tex Notation="TeX">$\mu$</tex> </formula>-map. Results show that JRM with breath-held HRCT achieves similar reconstruction to that using PRRC with cine-CT. This suggests a practical low-dose solution for implementation of motion-corrected respiratory gated PET/CT.

Maximum-Likelihood Joint Image Reconstruction/Motion Estimation in Attenuation-Corrected Respiratory Gated PET/CT Using a Single Attenuation Map