1. Factors affecting modulation transfer function measurements in cone-beam computed tomographic images
- Author
-
Jin-Woo Choi
- Subjects
Physics ,Quality Control ,Cone beam computed tomography ,Radiological and Ultrasound Technology ,Pixel ,business.industry ,030206 dentistry ,Cone-Beam Computed Tomography ,computer.software_genre ,Standard deviation ,Imaging phantom ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Optics ,Voxel ,Optical transfer function ,Radiography, Dental ,Oversampling ,Radiology, Nuclear Medicine and imaging ,Original Article ,business ,General Dentistry ,computer ,Beam (structure) - Abstract
Purpose This study was designed to investigate the effects of voxel size, the oversampling technique, and the direction and area of measurement on modulation transfer function (MTF) values to identify the optimal method of MTF measurement. Materials and Methods Images of the wire inserts of the SedentexCT IQ phantom were acquired, and MTF values were calculated under different conditions (voxel size of 0.1, 0.2, and 0.3 mm; 5 oversampling techniques; simulated pixel location errors; and different directions and areas of measurement). The differences in the MTF values across various conditions were evaluated. Results The MTF 10 values showed smaller standard deviations than the MTF 50 values. Stable and accurate MTF values were obtained in the 0.1-mm voxel images. In the 0.3-mm voxel images, oversampling techniques of 11 lines or more did not show significant differences in MTF values depending on the presence of simulated location errors. MTF 10 values showed significant differences according to the direction and area of the measurement. Conclusion To measure more accurate and stable MTF values, it is better to measure MTF 10 values in small-voxel images. In large-voxel images, the proper oversampling technique is required. MTF values from the radial and tangential directions may be different, and MTF values vary depending on the measured area.
- Published
- 2019