PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
October 20, 2025Magnetic Resonance in Medicine2 citationsOpen Access

Online Spatiotemporally Constrained Reconstruction for Real‐Time Interactive MRI

View Full Paper
DLDuy LePKPrakash KumarEYEcrin Yağız

Key Points

  • Online STCR improves spatial edge sharpness by 13% and temporal edge sharpness by 34% compared to view-sharing.
  • The structural similarity index measure for online STCR is highest among the compared online reconstruction methods.
  • This technique achieves 1.5 mm spatial resolution and 31.8 ms temporal resolution in real-time MRI.
  • Fetal cardiac localization is effectively improved using this low-latency reconstruction method.

Abstract

ABSTRACT Purpose To develop a low‐latency dynamic MRI reconstruction that provides better spatial and temporal fidelity than contemporary online reconstruction, for localization. Methods We utilize online spatiotemporally constrained reconstruction (STCR) using a computationally efficient augmented Lagrangian solution and a limited number of iterations that terminate before the acquisition of the next frame. Online STCR is evaluated in the setting of fetal cardiac localization at 0.55 T, and is compared with online view‐sharing and offline compressed sensing, using edge sharpness metrics. Results Online STCR has the highest structural similarity index measure (SSIM) to offline STCR among the compared online reconstruction methods. Spatial edge sharpness improved by 13% 2% and temporal edge sharpness improved by 34% 4% compared to view‐sharing. Conclusion We demonstrate low‐latency reconstruction for 2D real‐time MRI at 1.5 1.5 mm spatial resolution, 31.8 ms temporal resolution, and 240 240 mm FOV. We demonstrate that online STCR improves the depiction of rapidly moving boundaries, compared to standard view‐sharing.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Le et al. (2025) studied this question.

synapsesocial.com/papers/68f58f68ece7a5b64f4713e4https://doi.org/10.1002/mrm.70131
Ask AI
Helpful
Bookmark
Share
View Full Paper