Paper
19 March 2014 CT calibration and dose minimization in image-based material decomposition with energy-selective detectors
Sebastian Faby, Stefan Kuchenbecker, David Simons, Heinz-Peter Schlemmer, Michael Lell, Marc Kachelrieß
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Abstract
Possible advantages of energy-selective photon counting detectors compared to dual energy CT shall be evaluated in the case of a typical dual energy application: Image-based material decomposition into an iodine and a water material image. Apart from a possibly smaller spectral overlap between the low and the high energy information, a photon counting detector will probably offer more than the two necessary energy bins. In this case additional degrees of freedom are gained that allow minimizing the noise in the material images. We propose an image-based method that determines optimal bin image weighting factors for material decomposition with respect to minimal material image noise. Results indicate that a perfect photon counting detector with four bins outperforms the dual energy CT technique by a noise reduction of 22% in the water image and 43% in the iodine image. Limited detector energy resolution has only a small impact on the achieved noise reduction, the photon counting detector performs still better than the dual energy technique. However, if degrading detector effects like charge sharing and K-escape peaks are taken into account, the performance of our proposed method drops below the one of conventional dual energy CT.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sebastian Faby, Stefan Kuchenbecker, David Simons, Heinz-Peter Schlemmer, Michael Lell, and Marc Kachelrieß "CT calibration and dose minimization in image-based material decomposition with energy-selective detectors", Proc. SPIE 9033, Medical Imaging 2014: Physics of Medical Imaging, 903318 (19 March 2014); https://doi.org/10.1117/12.2042877
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Cited by 8 scholarly publications.
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KEYWORDS
Sensors

Iodine

Calibration

Photon counting

Dual energy imaging

Computed tomography

Denoising

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