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    How much image noise can be added in cardiac x-ray imaging without loss in perceived image quality?

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    Gislason-Lee_JEI.pdf (1.887Mb)
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    Publication date
    2015-10
    Author
    Gislason-Lee, Amber J.
    Kumcu, A.
    Kengyelics, S.M.
    Brettle, D.S.
    Treadgold, L.A.
    Sivananthan, M.
    Davies, A.G.
    Keyword
    Angiography
    Cardiac x-ray imaging
    Image processing
    Simulated image noise
    Subjective image assessment
    Radiation dose
    Rights
    Copyright 2015 Society of Photo‑Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited.
    Peer-Reviewed
    Yes
    
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    Abstract
    Cardiologists use x-ray image sequences of the moving heart acquired in real-time to diagnose and treat cardiac patients. The amount of radiation used is proportional to image quality; however, exposure to radiation is damaging to patients and personnel. The amount by which radiation dose can be reduced without compromising patient care was determined. For five patient image sequences, increments of computer-generated quantum noise (white + colored) were added to the images, frame by frame using pixel-to-pixel addition, to simulate corresponding increments of dose reduction. The noise adding software was calibrated for settings used in cardiac procedures, and validated using standard objective and subjective image quality measurements. The degraded images were viewed next to corresponding original (not degraded) images in a two-alternativeforced- choice staircase psychophysics experiment. Seven cardiologists and five radiographers selected their preferred image based on visualization of the coronary arteries. The point of subjective equality, i.e., level of degradation where the observer could not perceive a difference between the original and degraded images, was calculated; for all patients the median was 33% 15% dose reduction. This demonstrates that a 33% 15% increase in image noise is feasible without being perceived, indicating potential for 33% 15% dose reduction without compromising patient care.
    URI
    http://hdl.handle.net/10454/16978
    Version
    Published version
    Citation
    Gisalson-Lee AJ, Kumcu A, Kengyelics SM et al (2015) How much image noise can be added in cardiac x-ray imaging without loss in perceived image quality? Journal of Electronic Imaging. 24(5): 051006.
    Link to publisher’s version
    https://doi.org/10.1117/1.JEI.24.5.051006
    Type
    Article
    Collections
    Health Studies Publications

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