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A method to optimize the processing algorithm of a computed radiography system for chest radiography

¹ Radiation Physics Department, Hull & East Yorkshire Hospitals, Princess Royal Hospital, Saltshouse Road, Kingston Upon Hull HU8 9HE, ² Centre for Magnetic Resonance Imaging, University of Hull, Hull Royal Infirmary, Kingston Upon Hull HU3 2JZ, ³ Postgraduate Medical Institute, University of Hull, Kingston Upon Hull HU6 7RX, ⁴ Faculty of Health and Wellbeing, Sheffield Hallam University, City Campus, Howard Street, Sheffield S1 1WB, UK

View larger version (145K): [in this window] [in a new window]   Figure 1. A photograph of the phantom. The PMMA anthropomorphic insert(spine, upper mediastinum, heart and subdiapragm) are visible. The MTF tool is the tungsten square positioned in the lung region, and the wax blocks are positioned in the lung, heart and diaphragm regions.

View larger version (103K): [in this window] [in a new window]   Figure 2. A radiograph of the chest phantom complete with MTF tool in the lung region for measuring limiting spatial resolution and wax blocks in the lung, heart and diaphragm region for measuring contrast resolution.

View larger version (26K): [in this window] [in a new window]   Figure 3. Flow chart depicting the iterative methodology used to optimize CNR.

View larger version (16K): [in this window] [in a new window]   Figure 4. Mean kerma from primary and scatter fluence to the CR receptor beyond the lung(dotted bars), heart (white bars) and diaphragm (striped bars) regions of the phantom and patient at an X-ray beam quality of 75 kVp 5 mAs–1. The bar on the left of each corresponding chest area represents the phantom measurement; the bar on the right represents the patient measurement.