Matches in SemOpenAlex for { <https://semopenalex.org/work/W1964353492> ?p ?o ?g. }
Showing items 1 to 74 of
74
with 100 items per page.
- W1964353492 endingPage "2539" @default.
- W1964353492 startingPage "2538" @default.
- W1964353492 abstract "Radiation dose from computed tomography has been an important issue for medical physicists for some time. This issue has increased in significance in the past several years due to advances in multidetector CT, which have resulted in increased utilization in areas such as pediatric CT, cardiac CT and even screening applications. Some of the key issues currently facing the medical physics community are assessing dose to patients from these various exams. One of the key building blocks to these assessments is the estimation of organ dose. The purpose of this presentation is to describe an approach to estimating organ doses to patients using Monte Carlo-based simulation methods. In this approach, both the scanner and patient are modeled in some detail and a CT exam may be simulated. The detailed modeled of the CT scanner is created by including information such as the source spectra and filtration, its geometry, beam collimation and the path that the source travels around the patient (such as the path during a helical CT exam). The development, testing and validation of these models will be discussed. Patient models generally fall into two categories. The first consists of geometric descriptions of organs (based on cones, cylinders, etc.) such as the MIRD phantom. The second consists of voxelized descriptions of patient anatomy that are created based on actual patient scans. In these, radiosensitive organs are identified in the image data to create a voxelized model of the patient geometry. For both types of models, there are challenges to create models representing patients of different sizes, ages and genders. Once both the scanner and patient are modeled, then different scan protocols can be simulated using a Monte Carlo based software package (such as MCNP or EGS). This involves selecting a scanner model, a patient model and then selecting a set of technical parameters, such as one would do for an actual scan — including body region being examined, etc. The Monte Carlo software then simulates the specified scan and tallies absorbed dose in each voxel or geometric unit of the patient model, which then allows the calculation of either mean organ dose or the distribution of dose within an organ. In this presentation, the results of this approach in several applications will be described, including: (a) dose to the fetus in pregnant women of early, middle and late gestational ages, (b) comparing dose to glandular breast tissue from thoracic CT scans both with and without tube current modulation. Educational Objectives: 1. Understand the Monte Carlo simulation based approach to estimating radiation dose to radiosensitive organs from CT scans. 2. Understand the current limitations of the Monte Carlo based approach. 3. Describe the results of some current applications of this approach to estimating fetal dose as well as breast dose reduction from tube current modulation." @default.
- W1964353492 created "2016-06-24" @default.
- W1964353492 creator A5059350746 @default.
- W1964353492 date "2007-06-01" @default.
- W1964353492 modified "2023-09-25" @default.
- W1964353492 title "TU-SAMS-L100J-02: Determination of Dose From CT Examinations: Estimating Organ Dose Using Monte Carlo-Based Methods" @default.
- W1964353492 doi "https://doi.org/10.1118/1.2761308" @default.
- W1964353492 hasPublicationYear "2007" @default.
- W1964353492 type Work @default.
- W1964353492 sameAs 1964353492 @default.
- W1964353492 citedByCount "0" @default.
- W1964353492 crossrefType "journal-article" @default.
- W1964353492 hasAuthorship W1964353492A5059350746 @default.
- W1964353492 hasConcept C104293457 @default.
- W1964353492 hasConcept C105795698 @default.
- W1964353492 hasConcept C120665830 @default.
- W1964353492 hasConcept C121332964 @default.
- W1964353492 hasConcept C126838900 @default.
- W1964353492 hasConcept C141379421 @default.
- W1964353492 hasConcept C154945302 @default.
- W1964353492 hasConcept C19499675 @default.
- W1964353492 hasConcept C19527891 @default.
- W1964353492 hasConcept C201645570 @default.
- W1964353492 hasConcept C2779751349 @default.
- W1964353492 hasConcept C2989005 @default.
- W1964353492 hasConcept C31601959 @default.
- W1964353492 hasConcept C33923547 @default.
- W1964353492 hasConcept C34445779 @default.
- W1964353492 hasConcept C41008148 @default.
- W1964353492 hasConcept C509974204 @default.
- W1964353492 hasConcept C520434653 @default.
- W1964353492 hasConcept C71924100 @default.
- W1964353492 hasConcept C75088862 @default.
- W1964353492 hasConceptScore W1964353492C104293457 @default.
- W1964353492 hasConceptScore W1964353492C105795698 @default.
- W1964353492 hasConceptScore W1964353492C120665830 @default.
- W1964353492 hasConceptScore W1964353492C121332964 @default.
- W1964353492 hasConceptScore W1964353492C126838900 @default.
- W1964353492 hasConceptScore W1964353492C141379421 @default.
- W1964353492 hasConceptScore W1964353492C154945302 @default.
- W1964353492 hasConceptScore W1964353492C19499675 @default.
- W1964353492 hasConceptScore W1964353492C19527891 @default.
- W1964353492 hasConceptScore W1964353492C201645570 @default.
- W1964353492 hasConceptScore W1964353492C2779751349 @default.
- W1964353492 hasConceptScore W1964353492C2989005 @default.
- W1964353492 hasConceptScore W1964353492C31601959 @default.
- W1964353492 hasConceptScore W1964353492C33923547 @default.
- W1964353492 hasConceptScore W1964353492C34445779 @default.
- W1964353492 hasConceptScore W1964353492C41008148 @default.
- W1964353492 hasConceptScore W1964353492C509974204 @default.
- W1964353492 hasConceptScore W1964353492C520434653 @default.
- W1964353492 hasConceptScore W1964353492C71924100 @default.
- W1964353492 hasConceptScore W1964353492C75088862 @default.
- W1964353492 hasIssue "6Part17" @default.
- W1964353492 hasLocation W19643534921 @default.
- W1964353492 hasOpenAccess W1964353492 @default.
- W1964353492 hasPrimaryLocation W19643534921 @default.
- W1964353492 hasRelatedWork W1985727942 @default.
- W1964353492 hasRelatedWork W2019547500 @default.
- W1964353492 hasRelatedWork W2025656351 @default.
- W1964353492 hasRelatedWork W2031653115 @default.
- W1964353492 hasRelatedWork W2039636959 @default.
- W1964353492 hasRelatedWork W2054087215 @default.
- W1964353492 hasRelatedWork W2057198737 @default.
- W1964353492 hasRelatedWork W2410564857 @default.
- W1964353492 hasRelatedWork W2466926163 @default.
- W1964353492 hasRelatedWork W4288051244 @default.
- W1964353492 hasVolume "34" @default.
- W1964353492 isParatext "false" @default.
- W1964353492 isRetracted "false" @default.
- W1964353492 magId "1964353492" @default.
- W1964353492 workType "article" @default.