Paper
18 March 2008 CT number variations in micro CT imaging systems
Shu-Ju Tu, Hui-Ling Hsieh, Tsi-Chian Chao
Author Affiliations +
Abstract
CT numbers can be directly computed from the linear attenuation coefficients in the reconstructed CT images and are correlated to the electron densities of the chemical elements with specific atomic numbers. However, the computed CT numbers can be varied when different imaging parameters are used. Phantoms composed of clinically relevant and tissue-equivalent materials (lung, bone, muscle, and adipose) were scanned with a commercial circular-scanning micro CT imager. This imaging system is composed with a micro-focused x-ray tube and charged-coupled device (CCD) camera as the detector. The mean CT numbers and the corresponding standard deviations in terms of Hounsfield units were then computed from a pre-defined region of interest located within the reconstructed volumetric images. The variations of CT number were then identified from a series of imaging parameters. Those parameters include imaging acquisition modes (e.g., the metal filter used in the x-ray tube), reconstruction methods (e.g., Feldkamp and iterative algorithm), and post-image processing techniques (e.g., ring artifact, beam-hardening artifact, and smoothing processing). These variations of CT numbers are useful and important in tissue characterization, quantitative bone structure analysis, bone marrow density evaluation, and Monte Carlo dose calculations for the pilot small animal study when micro CT imaging systems are employed. Also these variations can be used as the quantification for the performance of the micro CT imaging systems.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shu-Ju Tu, Hui-Ling Hsieh, and Tsi-Chian Chao "CT number variations in micro CT imaging systems", Proc. SPIE 6913, Medical Imaging 2008: Physics of Medical Imaging, 691343 (18 March 2008); https://doi.org/10.1117/12.772160
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KEYWORDS
X-ray computed tomography

Imaging systems

X-rays

Bone

X-ray imaging

Reconstruction algorithms

Image filtering

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