Paper
18 March 2008 Noise properties of low-dose x-ray CT sinogram data in radon space
Jing Wang, Hongbing Lu, Zhengrong Liang, Daria Eremina, Guangxiang Zhang, Su Wang, John Chen, James Manzione
Author Affiliations +
Abstract
Computed tomography (CT) has been well established as a diagnostic tool through hardware optimization and sophisticated data calibration. For screening purposes, the associated X-ray exposure risk must be minimized. An effective way to minimize the risk is to deliver fewer X-rays to the subject or lower the mAs parameter in data acquisition. This will increase the data noise. This work aims to study the noise property of the calibrated or preprocessed sinogram data in Radon space as the mAs level decreases. An anthropomorphic torso phantom was scanned repeatedly by a commercial CT imager at five different mAs levels from 100 down to 17 (the lowest value provided by the scanner). The preprocessed sinogram datasets were extracted from the CT scanner to a laboratory computer for noise analysis. The repeated measurements at each mAs level were used to test the normality of the repeatedly measured samples for each data channel using the Shapiro-Wilk statistical test merit. We further studied the probability distribution of the repeated measures. Most importantly, we validated a theoretical relationship between the sample mean and variance at each channel. It is our intention that the statistical test and particularly the relationship between the first and second statistical moments will improve low-dose CT image reconstruction for screening applications.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jing Wang, Hongbing Lu, Zhengrong Liang, Daria Eremina, Guangxiang Zhang, Su Wang, John Chen, and James Manzione "Noise properties of low-dose x-ray CT sinogram data in radon space", Proc. SPIE 6913, Medical Imaging 2008: Physics of Medical Imaging, 69131M (18 March 2008); https://doi.org/10.1117/12.771153
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Cited by 3 scholarly publications.
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KEYWORDS
Sensors

X-rays

X-ray computed tomography

Calibration

Scanners

Radon

Statistical analysis

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