TY - GEN
T1 - Efficient evaluation of low-contrast detectability of deep-CNN-based CT reconstruction using channelized Hotelling observer on the ACR accreditation phantom
AU - Fan, Mingdong
AU - Zhou, Zhongxing
AU - Vrieze, Thomas
AU - Wang, Jia
AU - McCollough, Cynthia
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:
© 2022 SPIE.
PY - 2022
Y1 - 2022
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, its use has been quite limited in routine CT practice due to lack of efficient implementation. In this work, a CHO model optimized for the most widely used ACR CT accreditation phantom was applied to evaluate the low-contrast detectability of a deep-learning based reconstruction (DLIR) equipped on a GE Revolution scanner. The commercially available DLIR reconstruction method showed consistent increase in low-contrast detectability over the FBP and the IR method at routine dose levels, which suggests potential dose reduction to the FBP reconstruction by up to 27.5%.
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, its use has been quite limited in routine CT practice due to lack of efficient implementation. In this work, a CHO model optimized for the most widely used ACR CT accreditation phantom was applied to evaluate the low-contrast detectability of a deep-learning based reconstruction (DLIR) equipped on a GE Revolution scanner. The commercially available DLIR reconstruction method showed consistent increase in low-contrast detectability over the FBP and the IR method at routine dose levels, which suggests potential dose reduction to the FBP reconstruction by up to 27.5%.
KW - Image quality assessment
KW - channelized Hotelling observer (CHO)
KW - protocol optimization
KW - radiation dose reduction
UR - http://www.scopus.com/inward/record.url?scp=85131189384&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85131189384&partnerID=8YFLogxK
U2 - 10.1117/12.2612414
DO - 10.1117/12.2612414
M3 - Conference contribution
AN - SCOPUS:85131189384
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Medical Imaging 2022
A2 - Zhao, Wei
A2 - Yu, Lifeng
PB - SPIE
T2 - Medical Imaging 2022: Physics of Medical Imaging
Y2 - 21 March 2022 through 27 March 2022
ER -