PURPOSE
An imaging facility with a diverse fleet of CT scanners faces considerable challenges when propagating CT protocols with consistent image quality and patient dose across scanner makes and models. Although some protocol parameters can comfortably remain constant among scanners (eg, tube voltage, gantry rotation time), the automatic exposure control (AEC) parameter, which selects the overall mA level during tube current modulation, is difficult to match among scanners, especially from different CT manufacturers.
METHODS
Objective methods for converting tube current modulation protocols among CT scanners were developed. Three CT scanners were investigated, a GE LightSpeed 16 scanner, a GE VCT scanner, and a Siemens Definition AS+ scanner. Translation of the AEC parameters such as noise index and quality reference mAs across CT scanners was specifically investigated. A variable-diameter poly(methyl methacrylate) phantom was imaged on the 3 scanners using a range of AEC parameters for each scanner. The phantom consisted of 5 cylindrical sections with diameters of 13, 16, 20, 25, and 32 cm. The protocol translation scheme was based on matching either the volumetric CT dose index or image noise (in Hounsfield units) between two different CT scanners. A series of analytic fit functions, corresponding to different patient sizes (phantom diameters), were developed from the measured CT data. These functions relate the AEC metric of the reference scanner, the GE LightSpeed 16 in this case, to the AEC metric of a secondary scanner.
RESULTS
When translating protocols between different models of CT scanners (from the GE LightSpeed 16 reference scanner to the GE VCT system), the translation functions were linear. However, a power-law function was necessary to convert the AEC functions of the GE LightSpeed 16 reference scanner to the Siemens Definition AS+ secondary scanner, because of differences in the AEC functionality designed by these two companies.
CONCLUSIONS
Protocol translation on the basis of quantitative metrics (volumetric CT dose index or measured image noise) is feasible. Protocol translation has a dependency on patient size, especially between the GE and Siemens systems. Translation schemes that preserve dose levels may not produce identical image quality.
[1]
Shuai Leng,et al.
Attenuation-based estimation of patient size for the purpose of size specific dose estimation in CT. Part II. Implementation on abdomen and thorax phantoms using cross sectional CT images and scanned projection radiograph images.
,
2012,
Medical physics.
[2]
J. Boone,et al.
Size-Specific Dose Estimates (SSDE) in Pediatric and Adult Body CT Examinations
,
2011
.
[3]
Cynthia H McCollough,et al.
Dose to radiosensitive organs during routine chest CT: effects of tube current modulation.
,
2009,
AJR. American journal of roentgenology.
[4]
Ehsan Samei,et al.
Quantitative comparison of noise texture across CT scanners from different manufacturers.
,
2012,
Medical physics.
[5]
Jeffrey H. Siewerdsen,et al.
Analysis of image noise in 3D cone-beam CT: spatial and Fourier domain approaches under conditions of varying stationarity
,
2008,
SPIE Medical Imaging.
[6]
Jeffrey H Siewerdsen,et al.
Beyond noise power in 3D computed tomography: the local NPS and off-diagonal elements of the Fourier domain covariance matrix.
,
2012,
Medical physics.
[7]
Cynthia H McCollough.
Automatic exposure control in CT: are we done yet?
,
2005,
Radiology.
[8]
Alvin C. Silva,et al.
Innovations in CT dose reduction strategy: application of the adaptive statistical iterative reconstruction algorithm.
,
2010,
AJR. American journal of roentgenology.
[9]
W. Leitz,et al.
Computed Tomography Dose Assessment - A Practical Approach
,
1995
.
[10]
Shuai Leng,et al.
Attenuation-based estimation of patient size for the purpose of size specific dose estimation in CT. Part I. Development and validation of methods using the CT image.
,
2012,
Medical physics.