Balda M, Heismann B, Hornegger J (2010)
Publication Type: Authored book, Volume of book series
Publication year: 2010
Original Authors: Balda M., Heismann B., Hornegger J.
Publisher: Springer-verlag
City/Town: Berlin
Book Volume: null
Pages Range: 547-554
Event location: Beijing
Journal Issue: null
DOI: 10.1007/978-3-642-15711-0_68
We introduce a value-based noise reduction method for Dual-Energy CT applications. It is based on joint intensity statistics estimated from high- and low-energy CT scans of the identical anatomy in order to reduce the noise level in both scans. For a given pair of measurement values, a local gradient ascension algorithm in the probability space is used to provide a noise reduced estimate. As a consequence, two noise reduced images are obtained. It was evaluated with synthetic data in terms of quantitative accuracy and contrast to noise ratio (CNR)-gain. The introduced method allows for reducing patient dose by at least 30% while maintaining the original CNR level. Additionally, the dose reduction potential was shown with a radiological evaluation on real patient data. The method can be combined with state-of-the-art filter-based noise reduction techniques, and makes low-dose Dual-Energy CT possible for the full spectrum of quantitative CT applications. © 2010 Springer-Verlag.
APA:
Balda, M., Heismann, B., & Hornegger, J. (2010). Value-based noise reduction for low-dose dual-energy computed tomography. Berlin: Springer-verlag.
MLA:
Balda, Michael, Björn Heismann, and Joachim Hornegger. Value-based noise reduction for low-dose dual-energy computed tomography. Berlin: Springer-verlag, 2010.
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