The works will be taking place overnight to try and avoid impact on peak-time travel Grimsby
North East Lincolnshire Council has fined more than 500 people for messing up the borough since 1 April.
It comes as the enforcement officers who carry out the patrols are also starting to issue Penalty Charge Notices for some parking offences. “If you choose to mess up the borough or put others at risk by cycling in the town centre, we will fine you. He added: “Officers are also now authorised to issue penalty charge notices for some parking contraventions whilst they are on patrol.”
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A projection-domain low-count quantitative SPECT method for α-particle emitting radiopharmaceutical therapySingle-photon emission computed tomography (SPECT) provides a mechanism to estimate regional isotope uptake in lesions and at-risk organs after administration of &x03B1;-particle-emitting radiopharmaceutical therapies (&x03B1;-RPTs). However, this estimation task is challenging due to the complex emission spectra, the very low number of detected counts ( 20 times lower than in conventional SPECT), the impact of stray-radiation-related noise at these low counts, and the multiple image-degrading processes in SPECT. The conventional reconstruction-based quantification methods are observed to be erroneous for &x03B1;-RPT SPECT. To address these challenges, we developed a low-count quantitative SPECT (LC-QSPECT) method that directly estimates the regional activity uptake from the projection data (obviating the reconstruction step), compensates for stray-radiation-related noise, and accounts for the radioisotope and SPECT physics, including the isotope spectra, scatter, attenuation, and collimator-detector response, using a Monte Carlo-based approach. The method was validated in the context of three-dimensional SPECT with 223Ra, a commonly used radionuclide for &x03B1;-RPT. Validation was performed using both realistic simulation studies, including a virtual clinical trial, and synthetic and 3D-printed anthropomorphic physical-phantom studies. Across all studies, the LC-QSPECT method yielded reliable regional-uptake estimates and outperformed the conventional ordered subset expectation maximization (OSEM)-based reconstruction and geometric transfer matrix (GTM)-based post-reconstruction partial-volume compensation methods. Further, the method yielded reliable uptake across different lesion sizes, contrasts, and different levels of intra-lesion heterogeneity. Additionally, the variance of the estimated uptake approached the Cram&x00E9;r-Rao bound-defined theoretical limit. In conclusion, the proposed LC-QSPECT method demonstrated the ability to perform reliable quanti
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