Size-based quality-informed framework for quantitative optimization of pediatric CT

Ehsan Samei; Xiang Li; Donald P. Frush M.D.

doi:10.1117/1.JMI.4.3.031209

21 August 2017 Size-based quality-informed framework for quantitative optimization of pediatric CT

Ehsan Samei, Xiang Li, Donald P. Frush M.D.

Author Affiliations +

Journal of Medical Imaging, Vol. 4, Issue 3, 031209 (August 2017). https://doi.org/10.1117/1.JMI.4.3.031209

Abstract

The purpose of this study was to formulate a systematic, evidence-based method to relate quantitative diagnostic performance to radiation dose, enabling a multidimensional system to optimize computed tomography imaging across pediatric populations. Based on two prior foundational studies, radiation dose was assessed in terms of organ doses, effective dose (E), and risk index for 30 patients within nine color-coded pediatric age-size groups as a function of imaging parameters. The cases, supplemented with added noise and simulated lesions, were assessed in terms of nodule detection accuracy in an observer receiving operating characteristic study. The resulting continuous accuracy–dose relationships were used to optimize individual scan parameters. Before optimization, the nine protocols had a similar E of 2.2±0.2 mSv with accuracy decreasing from 0.89 for the youngest patients to 0.67 for the oldest. After optimization, a consistent target accuracy of 0.83 was established for all patient categories with E ranging from 1 to 10 mSv. Alternatively, isogradient operating points targeted a consistent ratio of accuracy–per-unit-dose across the patient categories. The developed model can be used to optimize individual scan parameters and provide for consistent diagnostic performance across the broad range of body sizes in children.

Citation Download Citation

Ehsan Samei, Xiang Li, and Donald P. Frush M.D. "Size-based quality-informed framework for quantitative optimization of pediatric CT," Journal of Medical Imaging 4(3), 031209 (21 August 2017). https://doi.org/10.1117/1.JMI.4.3.031209

Received: 1 February 2017; Accepted: 6 July 2017; Published: 21 August 2017

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available