A MONTE-CARLO SIMULATION FRAMEWORK FOR JOINT OPTIMISATION OF IMAGE QUALITY AND PATIENT DOSE IN DIGITAL PAEDIATRIC RADIOGRAPHY

Autor: Ulrich Neitzel, Detlef Mentrup, Dirk Manke, Bernd Menser
Rok vydání: 2015
Předmět:
Male
medicine.medical_specialty
Image quality
Radiography
Monte Carlo method
Radiation Dosage
Sensitivity and Specificity
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
Radiation Protection
Radiation Monitoring
High spatial resolution
Medicine
Humans
Radiology
Nuclear Medicine and imaging
Segmentation
Medical physics
Computer Simulation
Child
Radiation
Models
Statistical
Radiological and Ultrasound Technology
business.industry
Radiation dose
Public Health
Environmental and Occupational Health
Infant
Newborn
Infant
Reproducibility of Results
General Medicine
Radiation Exposure
Radiographic Image Enhancement
030220 oncology & carcinogenesis
Child
Preschool
Radiographic Image Interpretation
Computer-Assisted
Patient dose
Female
business
Joint (audio engineering)
Monte Carlo Method
Algorithms
Zdroj: Radiation protection dosimetry. 169(1-4)
ISSN: 1742-3406
Popis: In paediatric radiography, according to the as low as reasonably achievable (ALARA) principle, the imaging task should be performed with the lowest possible radiation dose. This paper describes a Monte-Carlo simulation framework for dose optimisation of imaging parameters in digital paediatric radiography. Patient models with high spatial resolution and organ segmentation enable the simultaneous evaluation of image quality and patient dose on the same simulated radiographic examination. The accuracy of the image simulation is analysed by comparing simulated and acquired images of technical phantoms. As a first application example, the framework is applied to optimise tube voltage and pre-filtration in newborn chest radiography. At equal patient dose, the highest CNR is obtained with low-kV settings in combination with copper filtration.
Databáze: OpenAIRE
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