FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2969484790> ?p ?o ?g. }

• W2969484790 endingPage "5226" @default.
• W2969484790 startingPage "5216" @default.
• W2969484790 abstract "Purpose Accurate, patient‐specific radiation dosimetry for CT scanning is critical to optimize radiation doses and balance dose against image quality. While Monte Carlo (MC) simulation is often used to estimate doses from CT, comparison of estimates to experimentally measured values is lacking for advanced CT scanners incorporating novel design features. We aimed to compare radiation dose estimates from MC simulation to doses measured in physical anthropomorphic phantoms using metal‐oxide semiconductor field‐effect transistors (MOSFETs) in a 256‐slice CT scanner. Methods Fifty MOSFETs were placed in organs within tissue‐equivalent anthropomorphic adult and pediatric radiographic phantoms, which were scanned using a variety of chest, cardiac, abdomen, brain, and whole‐body protocols on a 256‐slice system. MC computations were performed on voxelized CT reconstructions of the phantoms using a highly parallel MC tool developed specifically for diagnostic X‐ray energies and rapid computation. Doses were compared between MC estimates and physical measurements. Results The average ratio of MOSFET to MC dose in the in‐field region was close to 1 (range, 0.96–1.12; mean ± SD , 1.01 ± 0.04), indicating outstanding agreement between measured and simulated doses. The difference between measured and simulated doses tended to increase with distance from the in‐field region. The error in the MC simulations due to the limited number of simulated photons was less than 1%. The errors in the MOSFET dose determinations in the in‐field region for a single scan were mainly due to the calibration method and were typically about 6% (8% if the error in the reading of the ionization chamber that was used for the MOSFET calibration was included). Conclusions Radiation dose estimation using a highly parallelized MC method is strongly correlated with experimental measurements in physical adult and infant anthropomorphic phantoms for a wide range of scans performed on a 256‐slice CT scanner. Incorporation into CT scanners of radiation‐dose distribution estimation, employing the scanner’s reconstructed images of the patient, may offer the potential for accurate patient‐specific CT dosimetry." @default.
• W2969484790 created "2019-08-29" @default.
• W2969484790 creator A5014028387 @default.
• W2969484790 creator A5024030547 @default.
• W2969484790 creator A5032134243 @default.
• W2969484790 creator A5032883915 @default.
• W2969484790 creator A5032974852 @default.
• W2969484790 creator A5038894938 @default.
• W2969484790 creator A5042867497 @default.
• W2969484790 creator A5079255638 @default.
• W2969484790 creator A5080236461 @default.
• W2969484790 creator A5090309116 @default.
• W2969484790 date "2019-09-18" @default.
• W2969484790 modified "2023-09-26" @default.
• W2969484790 title "High correlation between radiation dose estimates for 256‐slice CT obtained by highly parallelized hybrid Monte Carlo computation and solid‐state metal‐oxide semiconductor field‐effect transistor measurements in physical anthropomorphic phantoms" @default.
• W2969484790 cites W1853699648 @default.
• W2969484790 cites W1968335757 @default.
• W2969484790 cites W1978169535 @default.
• W2969484790 cites W1992233985 @default.
• W2969484790 cites W2025650331 @default.
• W2969484790 cites W2043271695 @default.
• W2969484790 cites W2045228317 @default.
• W2969484790 cites W2047791837 @default.
• W2969484790 cites W2056637494 @default.
• W2969484790 cites W2076256307 @default.
• W2969484790 cites W2078064937 @default.
• W2969484790 cites W2082378117 @default.
• W2969484790 cites W2128158076 @default.
• W2969484790 cites W2128881154 @default.
• W2969484790 cites W2155375015 @default.
• W2969484790 cites W2168364054 @default.
• W2969484790 cites W2759621187 @default.
• W2969484790 doi "https://doi.org/10.1002/mp.13780" @default.
• W2969484790 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31442300" @default.
• W2969484790 hasPublicationYear "2019" @default.
• W2969484790 type Work @default.
• W2969484790 sameAs 2969484790 @default.
• W2969484790 citedByCount "2" @default.
• W2969484790 countsByYear W29694847902020 @default.
• W2969484790 countsByYear W29694847902022 @default.
• W2969484790 crossrefType "journal-article" @default.
• W2969484790 hasAuthorship W2969484790A5014028387 @default.
• W2969484790 hasAuthorship W2969484790A5024030547 @default.
• W2969484790 hasAuthorship W2969484790A5032134243 @default.
• W2969484790 hasAuthorship W2969484790A5032883915 @default.
• W2969484790 hasAuthorship W2969484790A5032974852 @default.
• W2969484790 hasAuthorship W2969484790A5038894938 @default.
• W2969484790 hasAuthorship W2969484790A5042867497 @default.
• W2969484790 hasAuthorship W2969484790A5079255638 @default.
• W2969484790 hasAuthorship W2969484790A5080236461 @default.
• W2969484790 hasAuthorship W2969484790A5090309116 @default.
• W2969484790 hasConcept C104293457 @default.
• W2969484790 hasConcept C105795698 @default.
• W2969484790 hasConcept C120665830 @default.
• W2969484790 hasConcept C121332964 @default.
• W2969484790 hasConcept C126838900 @default.
• W2969484790 hasConcept C159317903 @default.
• W2969484790 hasConcept C165801399 @default.
• W2969484790 hasConcept C172385210 @default.
• W2969484790 hasConcept C192562407 @default.
• W2969484790 hasConcept C19499675 @default.
• W2969484790 hasConcept C2778413303 @default.
• W2969484790 hasConcept C2779751349 @default.
• W2969484790 hasConcept C2989005 @default.
• W2969484790 hasConcept C30475298 @default.
• W2969484790 hasConcept C31601959 @default.
• W2969484790 hasConcept C33923547 @default.
• W2969484790 hasConcept C62520636 @default.
• W2969484790 hasConcept C63007395 @default.
• W2969484790 hasConcept C71924100 @default.
• W2969484790 hasConcept C75088862 @default.
• W2969484790 hasConceptScore W2969484790C104293457 @default.
• W2969484790 hasConceptScore W2969484790C105795698 @default.
• W2969484790 hasConceptScore W2969484790C120665830 @default.
• W2969484790 hasConceptScore W2969484790C121332964 @default.
• W2969484790 hasConceptScore W2969484790C126838900 @default.
• W2969484790 hasConceptScore W2969484790C159317903 @default.
• W2969484790 hasConceptScore W2969484790C165801399 @default.
• W2969484790 hasConceptScore W2969484790C172385210 @default.
• W2969484790 hasConceptScore W2969484790C192562407 @default.
• W2969484790 hasConceptScore W2969484790C19499675 @default.
• W2969484790 hasConceptScore W2969484790C2778413303 @default.
• W2969484790 hasConceptScore W2969484790C2779751349 @default.
• W2969484790 hasConceptScore W2969484790C2989005 @default.
• W2969484790 hasConceptScore W2969484790C30475298 @default.
• W2969484790 hasConceptScore W2969484790C31601959 @default.
• W2969484790 hasConceptScore W2969484790C33923547 @default.
• W2969484790 hasConceptScore W2969484790C62520636 @default.
• W2969484790 hasConceptScore W2969484790C63007395 @default.
• W2969484790 hasConceptScore W2969484790C71924100 @default.
• W2969484790 hasConceptScore W2969484790C75088862 @default.
• W2969484790 hasFunder F4320337338 @default.
• W2969484790 hasIssue "11" @default.
• W2969484790 hasLocation W29694847901 @default.
• W2969484790 hasLocation W29694847902 @default.
• W2969484790 hasOpenAccess W2969484790 @default.
• W2969484790 hasPrimaryLocation W29694847901 @default.
• W2969484790 hasRelatedWork W1975030924 @default.

• next