Gislason-Lee, AJ, Kumcu, A, Kengyelics, SM et al. (2 more authors) (2015) How much noise can be added in cardiac X-ray imaging without loss in perceived image quality? In: Proceedings SPIE 9399, Image Processing: Algorithms and Systems XIII. SPIE Electronic Imaging, 08-12 Feb 2015, San Francisco, California, USA. Society of Photo-Optical Instrumentation Engineers (SPIE) ISBN 9781628414899
Abstract
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.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015, Society of Photo-Optical Instrumentation Engineers (SPIE). This is an author produced version of a paper published in Proceedings SPIE 9399, Image Processing: Algorithms and Systems XIII. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) |
Funding Information: | Funder Grant number EU - European Union 269104 Innovate UKfka Technology Strategy Board (TSB) 600735/296104-1 EU - European Union 600735/296104-1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 01 Oct 2015 11:27 |
Last Modified: | 23 Jan 2018 06:16 |
Published Version: | http://dx.doi.org/10.1117/12.2082788 |
Status: | Published |
Publisher: | Society of Photo-Optical Instrumentation Engineers (SPIE) |
Identification Number: | 10.1117/12.2082788 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:84807 |