Michael Robert Bruesewitz, Presenter: Nothing to Disclose

Xinhui Duan PhD, Abstract Co-Author: Nothing to Disclose

Yi Zhang, Abstract Co-Author: Nothing to Disclose

Lifeng Yu PhD, Abstract Co-Author: Nothing to Disclose

Shuai Leng PhD, Abstract Co-Author: Nothing to Disclose

Cynthia H. McCollough PhD, Abstract Co-Author: Research Grant, Siemens AG

1. Show the substantial differences in image quality and dose that can occur across scanners and for different patient sizes 2. Explain methods to optimize protocols in order to improve performance consistency across a large practice.  

Purpose 1. Perform a scanner survey to investigate the variation in image quality and radiation dose across 3 patient sizes and 16 CT scanners from 3 different manufacturers. 2. Quantify the variation of CT performance in terms of spatial resolution, image noise, noise texture, and CTDIvol. 3. Explain the observed dependence of image quality on patient size, scanner model, and automatic exposure control (AEC) system. 4. Describe a method that uses the described performance measures to improve consistency in image quality and dose across scanner models and patient sizes. Content Organization 1. Summarize scanner models surveyed in our multiple sites. 2. Describe phantoms used for measuring spatial resolution, image noise, and noise texture for different patient sizes 3. Describe image quality evaluation 4. Report CT Protocol differences across scanner models surveyed. 5. Report image quality and dose differences amongst scanners and patient sizes 6. Describe strategies to adjust AEC settings and other parameters to achieve greater consistency in image quality and dose

http://abstract.rsna.org/uploads/2014/14018772/14018772_fpzl.pdf

Bruesewitz, M, Duan, X, Zhang, Y, Yu, L, Leng, S, McCollough, C, Strategies for Measuring and Standardizing Image Quality and Patient Dose Across a Range of CT Scanner Models and Patient Sizes.  Radiological Society of North America 2014 Scientific Assembly and Annual Meeting, - ,Chicago IL. http://archive.rsna.org/2014/14018772.html