![Sample our Engineering & Technology journals, sign in here to start your access, latest two full volumes FREE to you for 14 days]({"type":"image" , "src" : "/sda/5933/TOC-Subject-Sample-2021-Engineering-Tech.jpg"})
Abstract
This study calculated the recovery coefficient (RC) to correct for the partial volume effect (PVE) of a positron emission tomography/computed tomography (PET/CT) scanner by conducting a phantom experiment and analysing the standardised uptake value (SUVs) before and after the correction by applying the calculated RC to the data of a real PET/CT scan. An American College of Radiology (ACR) phantom was used to dilute 20·72 MBq (0·56 mCi) fluorine-18 fluoro-deoxy-glucgose (18F-FDG) uniformly in 1000 ml distilled water, which was injected into a hot cylinder (2·5, 1·6, 1·2 and 0·8 cm in diameter). In addition, 18F-FDG in 33·30 MBq (0·90 mCi), 22·20 MBq (0·60 mCi) and 16·65 MBq (0·45 mCi) was diluted uniformly in 6440 ml distilled water, which was filled with background radioactivity. Subsequently, the experiment was conducted three times under a hot cylinder to background radioactivity ratio (H/B ratio) of 4∶1, 6∶1 and 8∶1. The equipment of Biograph Truepoint 40 was used to conduct a phantom experiment and scan patients based on the whole body protocol. This research purposed 30 patients who visited this hospital to undergo a PET/CT scan from July to August 2011 and were diagnosed with lung cancer. The RC calculated based on the study results was used to compare and analyse the SUVs before and after the PVE correction. When the H/B ratio was 4∶1, the RC was 0·75, 0·72, 0·40 and 0·27 at a hot cylinder diameter of 2·5, 1·6, 1·2 and 0·8 cm, respectively. When the H/B ratio was 6∶1, the respective RC was 0·74, 0·59, 0·55 and 0·43. The respective RC at an H/B ratio of 8∶1 was 0·77, 0·76, 0·58 and 0·42. Overall, the RC decreased with decreasing size of the hot spot region. Among the patients diagnosed with lung cancer, 30 patients were selected randomly for sampling to compare and analyse the maximum SUVs before and after the correction. The average SUVs before and after the correction were 7·83 and 10·31.