Open AccessA web-based software platform for efficient and quantitative CT image quality assessment and protocol optimization
Author(s) -
Mingdong Fan,
Theodore Thayib,
Liqiang Ren,
Scott S. Hsieh,
C McCollough,
David R. Holmes,
Lifeng Yu
Publication year - 2021
Publication title -
pubmed central
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.192
H-Index - 176
pISSN - 0277-786X
DOI - 10.1117/12.2582123
Subject(s) - computer science , protocol (science) , software , convolutional neural network , image quality , installation , quality (philosophy) , artificial intelligence , data mining , image (mathematics) , medicine , operating system , alternative medicine , pathology , philosophy , epistemology
Channelized Hotelling observer (CHO), which has been shown to be well correlated with human observer performance in many clinical CT tasks, has a great potential to become the method of choice for objective image quality assessment. However, the use of CHO in clinical CT is still quite limited, mainly due to its complexity in measurement and calculation in practice, and the lack of access to an efficient and validated software tool for most clinical users. In this work, a web-based software platform for CT image quality assessment and protocol optimization (CTPro) was introduced. A validated CHO tool, along with other common image quality assessment tools, was made readily accessible through this web platform for clinical users and researchers without the need of installing additional software. An example of its application to evaluation of convolutional-neural-network (CNN)-based denoising was demonstrated.