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Measurement of Image Noise for Philips Large Bore CT-Simulator

Zheng Ming-min

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Abstract

Using the CT technique of head,thorax, abdomen mode,QA phantom was scanned on Philips AcQSim spiral CT.Spiral scans were performed with different scan parameters including mAs,slice thickness,spacing,reconstruction algorithm and pitch.Then standard deviation of CT values of images were measured and analysed.The results showed that image noise decreased with the increasing of mAs and slice thickness.In addition, the variation of pitch had some effect on the image noise.The research is helpful to optimize CT scanning protocol and provide technical support for the realization of radiotherapy of three precisions.

About this research paper

What this paper is about

Using the CT technique of head,thorax, abdomen mode,QA phantom was scanned on Philips AcQSim spiral CT.Spiral scans were performed with different scan parameters including mAs,slice thickness,spacing,reconstruction algorithm and pitch.Then standard deviation of CT values of images were measured and analysed.The results showed that image noise decreased with the increasing of mAs and slice thickness.In addition, the variation of pitch had some effect on the image noise.The research is helpful to optimize CT scanning protocol and provide technical support for the realization of radiotherapy of three precisions.

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Available abstract

Using the CT technique of head,thorax, abdomen mode,QA phantom was scanned on Philips AcQSim spiral CT.Spiral scans were performed with different scan parameters including mAs,slice thickness,spacing,reconstruction algorithm and pitch.Then standard deviation of CT values of images were measured and analysed.The results showed that image noise decreased with the increasing of mAs and slice thickness.In addition, the variation of pitch had some effect on the image noise.The research is helpful to optimize CT scanning protocol and provide technical support for the realization of radiotherapy of three precisions.

Key concepts: Imaging phantom, Image noise, Noise (video), Scanner, Spiral (railway), Standard deviation, Image quality, Nuclear medicine

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