Authors: | Murray, V.; Otazo, R. |
Title: | Motion-resolved 4D MRI using vision-assisted reference auto-navigation |
Conference Title: | IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI 2024) |
Abstract: | 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. © 2024 IEEE. |
Keywords: | medical imaging; navigation; dynamic mri; free breathing; motion analysis; motion detection; mri motion detection; value engineering; auto-navigation; data robustness; data usage; navigation techniques; star acquisition; vision-assisted |
Journal Title | Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation |
Conference Dates: | 2024 Mar 17-19 |
Conference Location: | Santa Fe, NM |
ISBN: | 979-8-3503-6011-0 |
Publisher: | Institute of Electrical and Electronics Engineers Inc. |
Date Published: | 2024-01-01 |
Start Page: | 17 |
End Page: | 20 |
Language: | English |
DOI: | 10.1109/ssiai59505.2024.10508680 |
PROVIDER: | scopus |
DOI/URL: | |
Notes: | Conference paper -- Source: Scopus |