Estimated radiation dose reduction using non-linear diffusion method in computed radiography.
In this paper we use a non-linear diffusion method to filter the inherent noise in a Computed Radiography (CR) for reducing the dose absorbed by the patients especially children in pediatric applications, related with the exposure mAs. The method is implemented in order to create a lower CR dose based on the selection of lower X-ray exposure and with a reduction of the noise using a non-linear diffusion method. The impact of several milliAmpere-seconds (mAs) setting on image quality has been studied using the RANDO phantom. The obtained results show good agreements between the filtered images and real images in terms of noise variance measurements. The new CR images allow medical researchers to analyze how a low dose affects the patient diagnosis.
Universitat Politècnica de València. msanchez@dsic.upv.es
Ma Guadalupe
MG
Sanchez
Belén
B
Juste
Vicente
V
Vidal
Gumersindo
G
Verdú
Patricia
P
Mayo
Francisco
F
Rodenas
D000465:Algorithms; D004058:Diffusion; D006801:Humans; D008954:Models, Biological; D017711:Nonlinear Dynamics; D019047:Phantoms, Imaging; D011829:Radiation Dosage; D013902:Radiography, Thoracic / Q000295:instrumentation / Q000379:methods; D014057:Tomography, X-Ray Computed / Q000295:instrumentation / Q000379:methods*