Abstract
SUMMARY: Our aim was to evaluate changes in texture features based on variations in CT parameters on a phantom. Scans were performed with varying milliampere, kilovolt, section thickness, pitch, and acquisition mode. Forty-two texture features were extracted by using an in-house-developed Matlab program. Two-tailed t tests and false-detection analyses were performed with significant differences in texture features based on detector array configurations (Q values = 0.001–0.006), section thickness (Q values = 0.0002–0.001), and acquisition mode (Q values = 0.003–0.006). Variations in milliampere and kilovolt had no significant effect.
ABBREVIATIONS:
- GLCM
- gray-level co-occurrence matrix
- GLGM
- gray-level gradient matrix
- GLRL
- gray-level run length
- MDCT
- multidetector row CT
- RP
- run percentage
- © 2017 by American Journal of Neuroradiology