Paper
28 May 1999 Calibration and validation of a voxel phantom for use in the Monte Carlo modeling and optimization of x-ray imaging systems
David R. Dance, Graham McVey, Michael P. Sandborg, Jan Persliden, Gudrun Alm Carlsson
Author Affiliations +
Abstract
A Monte Carlo program has been developed to model X-ray imaging systems. It incorporates an adult voxel phantom and includes anti-scatter grid, radiographic screen and film. The program can calculate contrast and noise for a series of anatomical details. The use of measured H and D curves allows the absolute calculation of the patient entrance air kerma for a given film optical density (or vice versa). Effective dose can also be estimated. In an initial validation, the program was used to predict the optical density for exposures with plastic slabs of various thicknesses. The agreement between measurement and calculation was on average within 5%. In a second validation, a comparison was made between computer simulations and measurements for chest and lumbar spine patient radiographs. The predictions of entrance air kerma mostly fell within the range of measured values (e.g. chest PA calculated 0.15 mGy, measured 0.12 - 0.17 mGy). Good agreement was also obtained for the calculated and measured contrasts for selected anatomical details and acceptable agreement for dynamic range. It is concluded that the program provides a realistic model of the patient and imaging system. It can thus form the basis of a detailed study and optimization of X-ray imaging systems.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David R. Dance, Graham McVey, Michael P. Sandborg, Jan Persliden, and Gudrun Alm Carlsson "Calibration and validation of a voxel phantom for use in the Monte Carlo modeling and optimization of x-ray imaging systems", Proc. SPIE 3659, Medical Imaging 1999: Physics of Medical Imaging, (28 May 1999); https://doi.org/10.1117/12.349533
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Cited by 11 scholarly publications.
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KEYWORDS
Chest

Spine

Monte Carlo methods

Imaging systems

Lung

Tissues

Absorbance

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