Size-based protocol optimization using automatic tube current modulation and automatic kV selection in computed tomography

被引:29
作者
MacDougall, Robert D. [1 ]
Kleinman, Patricia L. [1 ]
Callahan, Michael J. [1 ]
机构
[1] Boston Childrens Hosp, Dept Radiol, Boston, MA 02115 USA
关键词
computed tomography; pediatric; protocols; size-specific dose estimate; diagnostic reference ranges; EXPOSURE CONTROL; DOSE REDUCTION; CT; MANAGEMENT;
D O I
10.1120/jacmp.v17i1.5756
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Size-based diagnostic reference ranges (DRRs) for contrast-enhanced pediatric abdominal computed tomography (CT) have been published in order to establish practical upper and lower limits of CTDI, DLP, and SSDE. Based on these DRRs, guidelines for establishing size-based SSDE target levels from the SSDE of a standard adult by applying a linear correction factor have been published and provide a great reference for dose optimization initiatives. The necessary step of designing manufacturer-specific CT protocols to achieve established SSDE targets is the responsibility of the Qualified Medical Physicist. The task is straightforward if fixed-mA protocols are used, however, more difficult when automatic exposure control (AEC) and automatic kV selection are considered. In such cases, the physicist must deduce the operation of AEC algorithms from technical documentation or through testing, using a wide range of phantom sizes. Our study presents the results of such testing using anthropomorphic phantoms ranging in size from the newborn to the obese adult. The effect of each user-controlled parameter was modeled for a single-manufacturer AEC algorithm (Siemens CARE Dose4D) and automatic kV selection algorithm (Siemens CARE kV). Based on the results presented in this study, a process for designing mA-modulated, pediatric abdominal CT protocols that achieve user-defined SSDE and kV targets is described.
引用
收藏
页码:328 / 341
页数:14
相关论文
共 10 条
[1]  
[Anonymous], 2011, 204 AAPM
[2]   Evaluating iterative reconstruction performance in computed tomography [J].
Chen, Baiyu ;
Giraldo, Juan Carlos Ramirez ;
Solomon, Justin ;
Samei, Ehsan .
MEDICAL PHYSICS, 2014, 41 (12)
[3]   Management of auto exposure control during pediatric computed tomography [J].
Cody, Dianna D. .
PEDIATRIC RADIOLOGY, 2014, 44 :427-430
[4]   Pilot Study of Detection, Radiologist Confidence and Image Quality With Sinogram-Affirmed Iterative Reconstruction at Half-Routine Dose Level [J].
Fletcher, Joel G. ;
Krueger, William R. ;
Hough, David M. ;
Huprich, James E. ;
Fidler, Jeff L. ;
Wang, Jia ;
Shiung, Maria M. ;
Harmsen, W. Scott ;
Grant, Katharine L. ;
McCollough, Cynthia H. .
JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 2013, 37 (02) :203-211
[5]   Diagnostic Reference Ranges for Pediatric Abdominal CT [J].
Goske, Marilyn J. ;
Strauss, Keith J. ;
Coombs, Laura P. ;
Mandel, Keith E. ;
Towbin, Alexander J. ;
Larson, David B. ;
Callahan, Michael J. ;
Darge, Kassa ;
Podberesky, Daniel J. ;
Frush, Donald P. ;
Westra, Sjirk J. ;
Prince, Jeffrey S. .
RADIOLOGY, 2013, 268 (01) :208-218
[6]   System for Verifiable CT Radiation Dose Optimization Based on Image Quality. Part I. Optimization Model [J].
Larson, David B. ;
Wang, Lily L. ;
Podberesky, Daniel J. ;
Goske, Marilyn J. .
RADIOLOGY, 2013, 269 (01) :167-176
[7]   CT dose reduction and dose management tools: Overview of available options [J].
McCollough, Cynthia H. ;
Bruesewitz, Michael R. ;
Kofler, James M., Jr. .
RADIOGRAPHICS, 2006, 26 (02) :503-U14
[8]   Methods for CT Automatic Exposure Control Protocol Translation Between Scanner Platforms [J].
McKenney, Sarah E. ;
Seibert, J. Anthony ;
Lamba, Ramit ;
Boone, John M. .
JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY, 2014, 11 (03) :285-291
[9]  
Siemens AG, 2011, SOMATOM DEF AS SYST
[10]   Automatic selection of tube potential for radiation dose reduction in CT: A general strategy [J].
Yu, Lifeng ;
Li, Hua ;
Fletcher, Joel G. ;
McCollough, Cynthia H. .
MEDICAL PHYSICS, 2010, 37 (01) :234-243