Purpose: To investigate via Monte Carlo simulations, the impact of scan subject size, antiscatter grid (ASG), collimator size, and bowtie filter on the distribution of scatter radiation in a typical realistically modeled third generation 16 slice diagnostic computed tomography (CT) scanner.
Methods: Full radiation transport was simulated with Geant4 in a realistic CT scanner geometric model, including the imaging phantom, bowtie filter (BTF), collimators and detector assembly, except for the ASGs. An analytical method was employed to quantify the probable transmission through the ASG of each photon intersecting the detector array. Normalized scatter profiles (NSP) and scatter-to-primary-ratio (SPR) profiles were simulated for 90 and 140 kVp beams for different size phantoms and slice thicknesses. The impact of CT scatter on the reconstructed attenuation coefficient factor was also studied as were the modulating effects of phantom- and patient-tissue heterogeneities on scatter profiles. A method to characterize the relative spatial frequency content of sinogram signals was developed to assess the latter.
Results: For the 21.4-cm diameter phantom, NSP and SPR increase linearly with collimator opening for both tube potentials, with the 90 kVp scan exhibiting slightly larger NSP and SPR. The BTF modestly modulates scatter under the phantom center, reducing the prominent off-axis lobes by factors of 1.1-1.3. The ASG reduces scatter on the central axis NSP threefold, and reduces scatter at the detectors outside the phantom shadow by factors of 25 to 500. For the phantoms with diameters of 27 and 32 cm, the scatter increases roughly three- and fourfold, respectively, demonstrating that scatter monotonically increases with phantom size, despite deployment of the ASG and BTF. In the absence of a scan subject, the ASG reduces the signal profile arising photons scattered by the BTF. Without ASG, the in-air scatter profile is relatively flat compared to the scatter profile when the ASG is present. For both 90 and 140 kVp photon spectra, the calculated attenuation coefficient decreases linearly with increasing collimation size. For both homogeneous and heterogeneous objects, NSPs are dominated by low spatial frequency content compared to the primary signal. However, the SPR, which quantifies the local magnitude of nonlinear detector response and is dominated by the high frequency content of the primary profile, can contribute strongly to high-spatial frequency streaking artifacts near high-density structures in reconstructed image artifacts.
Conclusion: Public-domain Monte Carlo codes, Geant-4 in particular, is a feasible method for characterizing CT detector response to scattered- and off-focal radiation. Our study demonstrates that the ASG substantially reduces the scatter radiation and reshapes scatter-radiation profiles and affects the accuracy with which the detector array can measure narrow-beam attenuation due its inability to distinguish between true uncollided primary and narrow-angle coherently scattered photons. Hence, incorporating the impact of detector array collimation into the forward-projection signal formation models used by iterative reconstruction algorithms is necessary to use CT for accurately characterizing material properties. While tissue heterogeneities exercise a modest influence on local NPS shape and magnitude, they do not add significant high spatial frequency content.
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http://dx.doi.org/10.1002/mp.14652 | DOI Listing |
J Eval Clin Pract
February 2025
Faculty of Health Sciences, Department of Nursing, Division of Public Health Nursing, Bandırma Onyedi Eylül University, Balıkesir, Turkey.
Aim: This study aimed to translate the Environmental Health Literacy Scale (EHLS) into Turkish and assess its construct validity and internal consistency.
Methods: This research employs a methodological design. The research was conducted during the 2022-2023 academic year with a sample of 500 students from the Faculty of Health Sciences.
Med Sci Monit
December 2024
Department of Neurology, HangZhou Third People's Hospital, Hangzhou, Zhejiang, China.
BACKGROUND This study aimed to analyze the risk factors of central nervous system (CNS) infection caused by reactivation of varicella zoster virus (VZV) and provide reference for the prevention and early diagnosis of VZV-associated CNS infection. MATERIAL AND METHODS A prospective study was conducted on 1030 patients with acute herpes zoster (HZ) admitted to our hospital from January 2021 to June 2023. According to clinical manifestations and auxiliary examinations, they were divided into HZ group of 990 patients and VZV-associated CNS infection group of 40 patients.
View Article and Find Full Text PDFBehav Res Methods
December 2024
Department of Psychology, University of Milano-Bicocca, P.zza dell'Ateneo Nuovo, 1, 20126, Milano, Italy.
Despite being largely spoken and studied by language and cognitive scientists, Italian lacks large resources of language processing data. The Italian Crowdsourcing Project (ICP) is a dataset of word recognition times and accuracy including responses to 130,465 words, which makes it the largest dataset of its kind item-wise. The data were collected in an online word knowledge task in which over 156,000 native speakers of Italian took part.
View Article and Find Full Text PDFPediatr Surg Int
December 2024
Division of Paediatric & Neonatal Surgery, Department of Surgery, Faculty of Medicine, University of Malaya, 50603, Kuala Lumpur, Malaysia.
Background: In middle-income countries, healthcare systems face unique challenges in ensuring timely antenatal detection of congenital abnormalities that require pediatric surgical intervention. Early detection can significantly improve outcomes, yet resource constraints often limit access to diagnostic technologies. This study evaluates the antenatal detection rate of congenital abnormalities referred to pediatric surgical services in three Malaysian tertiary centers and examines its effect on maternal anxiety.
View Article and Find Full Text PDFSci Rep
December 2024
Centre for Infectious Diseases Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands.
Understanding the impact of different types of social interactions is key to improving epidemic models. Here, we use extensive registry data-including PCR test results and population-level networks-to investigate the impact of school, family, and other social contacts on SARS-CoV-2 transmission in the Netherlands (June 2020-October 2021). We isolate and compare different contexts of potential SARS-CoV-2 transmission by matching pairs of students based on their attendance at the same or different primary school (in 2020) and secondary school (in 2021) and their geographic proximity.
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