Noise power properties of a cone-beam CT system for breast cancer detection.
The noise power properties of a cone-beam computed tomography (CT) system dedicated for breast cancer detection were investigated. Uniform polyethylene cylinders of various diameters were scanned under different system acquisition conditions. Noise power spectra were calculated from difference data generated by subtraction between two identical scans. Multidimensional noise power spectra (NPS) were used as the metric to evaluate the noise properties of the breast CT (bCT) under different system acquisition and reconstruction conditions. A comprehensive investigation of the noise properties was performed in regard to system acquisition parameters including kVp, mA, number of cone-beam projection images used, cone angle, and object size. The influence on reconstruction parameters including interpolation method, reconstruction filter, field of view, matrix size, and slice thickness were also studied. Under certain conditions, the zero-dimensional NPS (image variance) was used as a quantitative index to compare the influence from different scan parameters, especially the radiation dose. If the total scan dose is changed by linearly changing the total number of projection images while the dose per frame is kept constant, the noise power has a linear relationship with the reciprocal of the total dose. If the total scan dose is changed by linearly changing the dose per frame while the total number of projection images is kept constant, the noise power has a quadratic relationship with the reciprocal of the total dose. With the same amount of total dose, using fewer projection images results in lower image noise power in the CT image. Quantitative results from this noise power analysis provide guidance for the bCT system operation, optimization, and data reconstruction.
Yang
Kai
K
Department of Radiology, University of California, Davis Medical Center, Sacramento, California 95817, USA.
Kwan
Alexander L C
AL
Huang
Shih-Ying
SY
Packard
Nathan J
NJ
Boone
John M
JM
D000465:Algorithms; D001943:Breast Neoplasms / Q000175:diagnosis* / Q000000981:diagnostic imaging*; D003198:Computer Simulation; D054893:Cone-Beam Computed Tomography / Q000379:methods*; D004867:Equipment Design; D006801:Humans; D007091:Image Processing, Computer-Assisted; D021621:Imaging, Three-Dimensional / Q000379:methods; D008327:Mammography / Q000295:instrumentation* / Q000379:methods*; D008495:Medical Oncology / Q000379:methods; D015233:Models, Statistical; D020959:Polyethylene / Q000737:chemistry; D011829:Radiation Dosage; D015203:Reproducibility of Results; D012542:Scattering, Radiation
D020959:Polyethylene