TY - GEN
T1 - Markov random field texture generation with an internalized database using a conditional encoder-decoder structure
AU - Gao, Yongfeng
AU - Bai, Ti
AU - Lu, Siming
AU - Chang, Shaojie
AU - Zhang, Hao
AU - Hoshmand-Kochi, Mahsa
AU - Liang, Zhengrong
N1 - Publisher Copyright:
© 2022 SPIE.
PY - 2022
Y1 - 2022
N2 - The tissue specific MRF type texture prior (MRFt) proposed in our previous work has been demonstrated to be advantageous in various clinical tasks. However, this MRFt model requires a previous full-dose CT (FdCT) scan of the same patient to extract the texture information for LdCT reconstructions. This requirement may not be met in practice. To alleviate this limitation, we propose to build a MRFt generator by internalizing a database with paired FdCT and LdCT scans using a (conditional) encoder-decoder structure model. We denote this method as the MRFtG-ConED. This generation model depends only on physiological features thus is robust for ultra-low dose CT scans (i.e., dosage < 10mAs). When the dosage is not extremely low (i.e., dosage > 10mAs), some texture information from LdCT images reconstructed by filtered back projection (FBP) can be also used to provide extra information.
AB - The tissue specific MRF type texture prior (MRFt) proposed in our previous work has been demonstrated to be advantageous in various clinical tasks. However, this MRFt model requires a previous full-dose CT (FdCT) scan of the same patient to extract the texture information for LdCT reconstructions. This requirement may not be met in practice. To alleviate this limitation, we propose to build a MRFt generator by internalizing a database with paired FdCT and LdCT scans using a (conditional) encoder-decoder structure model. We denote this method as the MRFtG-ConED. This generation model depends only on physiological features thus is robust for ultra-low dose CT scans (i.e., dosage < 10mAs). When the dosage is not extremely low (i.e., dosage > 10mAs), some texture information from LdCT images reconstructed by filtered back projection (FBP) can be also used to provide extra information.
KW - LdCT
KW - conditional encoder-decoder structure
KW - physiological knowledge
KW - tissue specific MRF prior
UR - http://www.scopus.com/inward/record.url?scp=85131160394&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85131160394&partnerID=8YFLogxK
U2 - 10.1117/12.2613033
DO - 10.1117/12.2613033
M3 - Conference contribution
AN - SCOPUS:85131160394
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 -