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    Multislice CT angiography in aortic stent grafting: relationship between image noise and body mass index

    Access Status
    Fulltext not available
    Authors
    Sun, Zhonghua
    Date
    2007
    Collection
    • Curtin Research Publications
    Type
    Journal Article
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    Abstract

    Purpose: To investigate the correlation between image noise and body mass index (BMI) in multislice CT angiography (MSCT) for patients with abdominal aortic aneurysm (AAA) treated with endovascular stent grafts. Materials and Methods: Seventeen patients who underwent MSCT following endovascular repair of AAA were included in the study. Image noise (standard deviation of the CT attenuation: SD) and signal to noise ratio (SNR) were plotted against BMI to demonstrate the correlation using a linear regression method. Image quality of 3D reconstructions was correlated to the SNR and BMI. Results: The r-value of linear regression between SD and BMI was 0.578 (p < 0.05), 0.835 and 0.802 (p < 0.001), respectively, at the level of renal artery, aortic aneurysm and common iliac artery. The r-value of linear regression between SNR and BMI was 0.332, 0.516 and 0.552 (p < 0.05), respectively, at above three levels. Image quality of 3D reconstructions was compromised in five patients and diagnosis was affected in two patients with BMI more than 30. Conclusion: A significant correlation was observed between image noise and BMI in MSCT angiography of endovascular repair of AAA. Our findings are valuable for optimisation of MSCT angiography scanning protocols and reduction of radiation dose in MSCT examinations.

    Citation
    Sun, Zhonghua. 2007. Multislice CT angiography in aortic stent grafting: relationship between image noise and body mass index. European Journal of Radiology. 61 (3): pp. 534-540.
    Source Title
    European Journal of Radiology
    URI
    http://hdl.handle.net/20.500.11937/21306
    DOI
    10.1016/j.ejrad.2006.10.007
    Faculty
    Department of Medical Imaging and Applied Physics
    School of Science
    Faculty of Science and Engineering
    Department
    Discipline of Medical Imaging Science
    Remarks

    The link to the journal’s home page is: http://www.elsevier.com/wps/find/journaldescription.cws_home/506039/description#description

    Copyright © 2007 Elsevier Ltd. All rights reserved

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