Windows Setting for Low kVp Abdominal CT: Comparison to 120-kVp CT Images

Purpose: The purpose of the study is to identify the optimal window level (WL) and window width (WW) to maximize visualization of the findings for low kVp abdominal CT images utilizing the automated tube voltage selection (ATVS) (which produces-brightness and contrast very similar to that produced by a 120-kVp CT scanner). Materials and Methods: We enrolled 61 patients who underwent: 1) dynamic abdominal CT scanning using ATVS technique (in 2015) and 2) a second CT scan, on this occasion implementing a 120-kVp protocol (in 2014). With ATVS, all scans were per-formed using 80-kVp for the arterial phase. For the portal phase, 80-kVp and 100-kVp were applied in 27 and 34 patients, respectively. Two radiologists then over-read and compared the ATVS images to the 120-kVp images, assessing brightness and contrast. After the over-read and comparison, they selected the WL and WW for ATVS be-cause they produced brightness and contrast very similar to that appreciated in the 120-kVp images. phase were 130 Hounsfield unit and the portal phase, the WL the WW were 80-kVp, and 40 HU/63.5 HU and HU/382.4 respectively. mean WL and WW for 80-kVp were significantly higher than those for 100-kVp ( p < 0.001). Conclusion: Based upon the findings, it was determined that WL and WW with ATVS should be higher than those used for 120-kVp protocol in order to obtain comparable brightness and contrast in the images produced by abdominal CT scanning.

[1]  U. Schoepf,et al.  Optimization of window settings for virtual monoenergetic imaging in dual-energy CT of the liver: A multi-reader evaluation of standard monoenergetic and advanced imaged-based monoenergetic datasets. , 2016, European journal of radiology.

[2]  Hongtao Hou,et al.  Radiation dose and image quality with abdominal computed tomography with automated dose-optimized tube voltage selection , 2014, The Journal of international medical research.

[3]  D. Sahani,et al.  Performance of Iterative Reconstruction and Automated Tube Voltage Selection on the Image Quality and Radiation Dose in Abdominal CT Scans , 2013, Journal of computer assisted tomography.

[4]  E. Fishman,et al.  CT scan parameters and radiation dose: practical advice for radiologists. , 2013, Journal of the American College of Radiology : JACR.

[5]  L. Gordon,et al.  MDCT of chest, abdomen, and pelvis using attenuation-based automated tube voltage selection in combination with iterative reconstruction: an intrapatient study of radiation dose and image quality. , 2013, AJR. American journal of roentgenology.

[6]  P. Cho Radiation dose reduction from low-kilovoltage liver computed tomography using multidetector row computed tomography. , 2013, Radiation protection dosimetry.

[7]  Y. Yamashita,et al.  Low-kilovoltage, high-tube-current MDCT of liver in thin adults: pilot study evaluating radiation dose, image quality, and display settings. , 2011, AJR. American journal of roentgenology.

[8]  P. Azadeh,et al.  ADDING LIVER WINDOW SETTING TO THE STANDARD ABDOMINAL CT SCAN PROTOCOL: IS IT USEFUL? , 2008 .

[9]  J. Paul,et al.  Low-kilovoltage multi-detector row chest CT in adults: feasibility and effect on image quality and iodine dose. , 2004, Radiology.

[10]  C. White,et al.  Liver and bone window settings for soft-copy interpretation of chest and abdominal CT. , 2000, AJR. American journal of roentgenology.

[11]  W W Mayo-Smith,et al.  Detecting hepatic lesions: the added utility of CT liver window settings. , 1999, Radiology.

[12]  I. H. Cox,et al.  Right window for dynamic hepatic CT. , 1991, Radiology.

[13]  U. Schoepf,et al.  Effect of Automated Attenuation-based Tube Voltage Selection on Radiation Dose at CT: An Observational Study on a Global Scale. , 2016, Radiology.

[14]  M. Goodsitt,et al.  Emerging techniques for dose optimization in abdominal CT. , 2014, Radiographics : a review publication of the Radiological Society of North America, Inc.

[15]  Elliot K Fishman,et al.  CT dose reduction applications: available tools on the latest generation of CT scanners. , 2013, Journal of the American College of Radiology : JACR.