Paper
19 March 2008 Evaluation of the contrast-detail response of a cardiovascular angiography system and the influence of equipment variables on image quality
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Abstract
Purpose: To investigate the influence of physician-selectable equipment variables on image quality for a cardiac X-ray system equipped with flat panel detector. Materials and Methods: Two contrast phantoms (Leeds TO.10 and CDRAD) were imaged in fluorography and fluoroscopy mode. Three variables are studied: the detector entrance dose, patient thickness and antiscatter grid. In fluorography mode, the detector entrance dose was 100, 120, 140, 170, 200 and 240 nGy/image. Patient thickness was simulated with Perspex blocks of 8, 12, 16 and 20cm. The detectability of contrast details was visually evaluated by five observers (subjective method). An alternative objective method of image quality evaluation was used. It consists on determining a simple "figure of merit" parameter based on signal-to-noise and dose measurements. Results: The threshold contrast values were determined for different settings. Contrast-detail curves are presented. Conversion of curve data in single numerical values and comparison with the "figure of merit" are discussed. Conclusion: Contrast detail objects are sensitive to variables changed and can be used in optimization process of new systems. The change of detector entrance dose from a superior to a next inferior setting does not change dramatically the image quality. Consequently, a saving of about 15% in patient "skin" dose is achievable.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Octavian Dragusin, Kristien Smans, Jurgen Jacobs, Tolga Inal, and Hilde Bosmans "Evaluation of the contrast-detail response of a cardiovascular angiography system and the influence of equipment variables on image quality", Proc. SPIE 6913, Medical Imaging 2008: Physics of Medical Imaging, 69134R (19 March 2008); https://doi.org/10.1117/12.769780
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Cited by 5 scholarly publications.
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KEYWORDS
Image quality

Sensors

Fluoroscopy

X-rays

Signal to noise ratio

Image analysis

X-ray detectors

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