Robust Pptimization of CT Reconstruction and Scanning Parameters

Purpose or Objective: CT simulation has become an integral component of modern RT planning and therefore needs to be continually optimized. We improved the detection of small and low‐ contrast regions in images obtained during CT simulation by optimization of CT reconstruction and scanning parameters. For potential applications involving detection of low-contrast tumor structures

Material and Methods: A CT phantom containing a contrast detail modulus for detection of low‐contrast structures was used to optimize the CT protocol. The parameters (A) Pitch, (B) Reconstruction Filter, and (C) Rotation Time type were varied for assessment of image quality. Three factors, three levels, and nine experiments were identified. According to the Taguchi approach an L9 orthogonal array was selected. The reconstruction parameters of the CT scanner Toshiba aquillion Pitch, Reconstruction Filter type, and Rotation Time, were iteratively scanned according to the orthogonal array. A Catphan 604 CT phantom was used to characterize low‐contrast resolution (CPT730 module). All CT scan images were analyzed by IMAGE‐OWL software. The objective of the study was to identify parameters that maximize the low‐contrast resolution of the images. The ANOVA and F‐tests were used to analyze results using JMP 14.1.0 statistical software.

Results: The optimal settings and predicted optimal values for low‐ contrast resolution were determined. The ANOVA was used to determine the optimum combination of process parameters more accurately by investigating the relative importance of each process parameter. We determined that Pitch (61.3%) had the most significant influence on low contrast resolution, followed by the Reconstruction Filter type (31.3%). The optimal setting level is A1‐B1‐C3, 0.68 pitch, smooth filter, and gantry rotation time 1.5 sec, respectively. In the phantom model of this study, optimal Contrast Detail Values were determined to be: 1% contrast, 2mm; 0.5% contrast, 4mm; 0.3% contrast, 7mm. Additional measurements were made to confirm the prediction error model is justified and the results are validated.

Conclusion: Protocol was improved comparing to those using the standard clinic protocol.CT image quality can be improved with the protocol created in this study, to provide better soft tissue contrast, which would be beneficial for RT contorting for SBRT and stereotactic radiosurgery in which accurate delineation of small-sized, low-contrast regions are important