TY - GEN
T1 - A web-based software platform for efficient and quantitative ct image quality assessment and protocol optimization
AU - Fan, Mingdong
AU - Thayib, Theodore
AU - Ren, Liqiang
AU - Hsieh, Scott
AU - McCollough, Cynthia
AU - Holmes, David
AU - Yu, Lifeng
N1 - Funding Information:
Research reported in this work was supported by the National Institutes of Health under award number U24EB028936. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute of Health.
Publisher Copyright:
© COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Channelized hotelling observer (cho)
KW - Image quality assessment
KW - Protocol optimization
KW - Radiation dose reduction
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U2 - 10.1117/12.2582123
DO - 10.1117/12.2582123
M3 - Conference contribution
C2 - 33986559
AN - SCOPUS:85103691977
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Medical Imaging 2021
A2 - Bosmans, Hilde
A2 - Zhao, Wei
A2 - Yu, Lifeng
PB - SPIE
T2 - Medical Imaging 2021: Physics of Medical Imaging
Y2 - 15 February 2021 through 19 February 2021
ER -