TY - GEN
T1 - Motion-Resolved 4D MRI using Vision-Assisted Reference Auto-Navigation
AU - Murray, Victor
AU - Otazo, Ricardo
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Improved motion navigation with efficient data usage and robustness remains a challenge for free-breathing MRI. This paper presents a new 2D auto-navigation technique called VAR-NAV developed for stack-of-stars acquisitions to address this challenge. VAR-NAV uses 2D projection images and multiscale AM-FM demodulation to directly estimate the position of the liver dome with 100% data efficiency. Results can be retrospectively corrected, similar to the VAR system in football video assistant referees. VAR-NAV is used to continuously sort acquired data and reconstruct motion-resolved 4D images, outperforming conventional ID PCA-based navigation without requiring additional acquisition. This efficient and accurate method of clinical 4D MRI offers a promising solution to the challenge of improved motion navigation.
AB - Improved motion navigation with efficient data usage and robustness remains a challenge for free-breathing MRI. This paper presents a new 2D auto-navigation technique called VAR-NAV developed for stack-of-stars acquisitions to address this challenge. VAR-NAV uses 2D projection images and multiscale AM-FM demodulation to directly estimate the position of the liver dome with 100% data efficiency. Results can be retrospectively corrected, similar to the VAR system in football video assistant referees. VAR-NAV is used to continuously sort acquired data and reconstruct motion-resolved 4D images, outperforming conventional ID PCA-based navigation without requiring additional acquisition. This efficient and accurate method of clinical 4D MRI offers a promising solution to the challenge of improved motion navigation.
KW - dynamic MRI
KW - MRI motion detection
UR - http://www.scopus.com/inward/record.url?scp=85192523238&partnerID=8YFLogxK
U2 - 10.1109/SSIAI59505.2024.10508680
DO - 10.1109/SSIAI59505.2024.10508680
M3 - Conference contribution
AN - SCOPUS:85192523238
T3 - Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation
SP - 17
EP - 20
BT - 2024 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2024 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2024
Y2 - 17 March 2024 through 19 March 2024
ER -