TY - GEN
T1 - A simulation framework for pre-clinical studies on dose and image quality
T2 - 2008 - MI08 - SPIE Medical Imaging
AU - Smans, Kristien
AU - Pauwels, Herman
AU - Rogge, Frank
AU - Struelens, Lara
AU - Dragusin, Octavian
AU - Vanhavere, Filip
AU - Bosmans, Hilde
N1 - Score = 1
PY - 2008/3/18
Y1 - 2008/3/18
N2 - Purpose: The purposes of the study were to set-up and validate a simulation framework for dose and image quality optimization studies. In a first phase we have evaluated whether CDRAD images as obtained with computed radiography plates could be simulated. Material and Methods: The Monte Carlo method is a numerical method that can be used to simulate radiation transport. It is in diagnostic radiology often used in dosimetry, but in present study it is used to simulate X-ray images. With the Monte Carlo software, MCNPX, the successive steps in die imaging chain were simulated: the X-ray beam, the attenuation and scatter process in a test object and image generation by an ideal detector. Those simulated images were further modified for specific properties of CR imaging systems. The signal-transferproperties were used to convert the simulated images into the proper grey scale. To account for resolution properties the simulated images were convolved with the point spread function of the CR systems. In a last phase, noise, based on noise power spectrum (NPS) measurements, was added to the image. In this study, we simulated X-ray images of the CDRAD contrast-detail phantom. Those simulated images, modified for the CR-system, were compared with real X-ray images of the CDRAD phantom. All images were scored by computer readings. Results: First results confirm that realistic CDRAD images can be simulated and that reading results of series of simulated and real images have the same tendency. The simulations also show that white noise has a large influence on image quality and CDRAD analyses.
AB - Purpose: The purposes of the study were to set-up and validate a simulation framework for dose and image quality optimization studies. In a first phase we have evaluated whether CDRAD images as obtained with computed radiography plates could be simulated. Material and Methods: The Monte Carlo method is a numerical method that can be used to simulate radiation transport. It is in diagnostic radiology often used in dosimetry, but in present study it is used to simulate X-ray images. With the Monte Carlo software, MCNPX, the successive steps in die imaging chain were simulated: the X-ray beam, the attenuation and scatter process in a test object and image generation by an ideal detector. Those simulated images were further modified for specific properties of CR imaging systems. The signal-transferproperties were used to convert the simulated images into the proper grey scale. To account for resolution properties the simulated images were convolved with the point spread function of the CR systems. In a last phase, noise, based on noise power spectrum (NPS) measurements, was added to the image. In this study, we simulated X-ray images of the CDRAD contrast-detail phantom. Those simulated images, modified for the CR-system, were compared with real X-ray images of the CDRAD phantom. All images were scored by computer readings. Results: First results confirm that realistic CDRAD images can be simulated and that reading results of series of simulated and real images have the same tendency. The simulations also show that white noise has a large influence on image quality and CDRAD analyses.
KW - Contrast-detail
KW - Image quality
KW - Monte Carlo
KW - Simulation
UR - http://ecm.sckcen.be/OTCS/llisapi.dll/open/ezp_86781
U2 - 10.1117/12.769442
DO - 10.1117/12.769442
M3 - In-proceedings paper
SN - 9780819470973
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
SP - 1
EP - 11
BT - Medical Imaging 2008
CY - Bellingham, WA, United States
Y2 - 16 February 2008 through 21 February 2008
ER -