Yes / Dynamic X-ray imaging systems are used for interventional cardiac procedures to treat coronary heart disease.
X-ray settings are controlled automatically by specially-designed X-ray dose control mechanisms whose role is to ensure
an adequate level of image quality is maintained with an acceptable radiation dose to the patient. Current commonplace
dose control designs quantify image quality by performing a simple technical measurement directly from the image.
However, the utility of cardiac X-ray images is in their interpretation by a cardiologist during an interventional
procedure, rather than in a technical measurement. With the long term goal of devising a clinically-relevant image
quality metric for an intelligent dose control system, we aim to investigate the relationship of image noise with clinical
professionals’ perception of dynamic image sequences.
Computer-generated noise was added, in incremental amounts, to angiograms of five different patients selected
to represent the range of adult cardiac patient sizes. A two alternative forced choice staircase experiment was used to
determine the amount of noise which can be added to a patient image sequences without changing image quality as
perceived by clinical professionals. Twenty-five viewing sessions (five for each patient) were completed by thirteen
observers. Results demonstrated scope to increase the noise of cardiac X-ray images by up to 21% ± 8% before it is
noticeable by clinical professionals. This indicates a potential for 21% radiation dose reduction since X-ray image noise
and radiation dose are directly related; this would be beneficial to both patients and personnel. / This work was funded by Philips Healthcare, NL. Part of this work has been performed in the project PANORAMA, cofunded by grants from Belgium, Italy, France, the Netherlands, and the United Kingdom, and the ENIAC Joint Undertaking.
| Identifer | oai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/16979 |
| Date | 16 March 2015 |
| Creators | Gislason-Lee, Amber J., Kumcu, A., Kengyelics, S.M., Rhodes, L.A., Davies, A.G. |
| Source Sets | Bradford Scholars |
| Language | English |
| Detected Language | English |
| Type | Conference paper, Accepted manuscript |
| Rights | (c) 2015, Society of Photo-Optical Instrumentation Engineers (SPIE). This is an author produced version of a paper published in Proceedings of SPIE 9399, Image Processing: Algorithms and Systems XIII. |
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