Optimization of imaging parameters in micro CT scanner based on signal-to-noise ratio for analysis of urinary stones composition

Document Type: Original Paper

Authors

1 Department of Physics, Faculty of Mathematics and natural Sciences, Institut Teknologi Bandung, Indonesia

2 Department of Physics, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Indonesia

3 Physics Department, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Indonesia

Abstract

Micro-CT scanner with a resolution of about 5 micrometers is one of the modalities used to create 3 Dimensional (3D)/ 2D images of urinary stones. The purpose of this research was to optimize imaging parameters in micro-CT scanner based on the signal-to-noise ratio (SNR) of urinary stones for analysis of stone composition.

Eight micro-CT scanning protocols were applied to five urinary stones taken from different patients. Each scanning protocol had different voltage, current, and exposure parameters. In the process, the projection images of the scanning protocols were reconstructed by using the same parameters. The reconstructed images were analysed based on the image brightness and SNR. The optimize imaging parameters which were chosen were that having high SNR because the high-quality image has high SNR.

The result shows that two groups of urinary stones have the same mean HU value in the 3rd scanning protocols (65 kV; 123 µA; and 850 ms). Group one (stone number 1, 3, and 4) has mean HU value 790, 760, and 720, respectively. The second group (stone number 2 and 5) has mean HU value -514 and -343, respectively. The imaging parameters (75 kV; 106 µA; 600 ms) has high SNR (25 - 34) for the first group. The SNR (12.8 - 13.25) was for the second group at imaging parameters (85 kV; 94 µA; 500 ms).

Based on the SNR, the two optimize imaging parameters for first and second group were 75 kV; 106 µA; 600 ms and 85 kV; 94 µA; 500 ms, respectively.

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Articles in Press, Accepted Manuscript
Available Online from 12 July 2019
  • Receive Date: 08 February 2019
  • Revise Date: 02 July 2019
  • Accept Date: 12 July 2019