MRSIGMA: Magnetic Resonance SIGnature MAtching for real-time volumetric imaging Journal Article

   


Authors: Feng, L.; Tyagi, N.; Otazo, R.
Article Title: MRSIGMA: Magnetic Resonance SIGnature MAtching for real-time volumetric imaging
Abstract: Purpose: To propose a real-time 3D MRI technique called MR SIGnature MAtching (MRSIGMA) for high-resolution volumetric imaging and motion tracking with very low imaging latency. Methods: MRSIGMA consists of two steps: (1) offline learning of a database of possible 3D motion states and corresponding motion signature ranges and (2) online matching of new motion signatures acquired in real time with prelearned motion states. Specifically, the offline learning step (non-real-time) reconstructs motion-resolved 4D images representing different motion states and assigns a unique motion range to each state. The online matching step (real-time) acquires motion signatures only and selects one of the prelearned 3D motion states for each newly acquired signature, which generates 3D images efficiently in real time. The MRSIGMA technique was evaluated on 15 golden-angle stack-of-stars liver data sets, and the performance of respiratory motion tracking with the online-generated real-time 3D MRI was compared with the corresponding 2D projections acquired in real time. Results: The total latency of generating each 3D image during online matching was about 300 ms, including acquisition of the motion signature data (~138 ms) and corresponding matching process (~150 ms). Linear correlation assessment suggested excellent correlation (R2 = 0.948) between motion displacement measured from the online-generated real-time 3D images and the 2D real-time projections. Conclusion: This proof-of-concept study demonstrates the feasibility of MRSIGMA for high-resolution real-time volumetric imaging, which shifts the acquisition and reconstruction burden to an offline learning step and leaves fast online matching for online imaging with very low imaging latency. The MRSIGMA technique can potentially be used for real-time motion tracking in MRI-guided radiation therapy. © 2020 International Society for Magnetic Resonance in Medicine
Keywords: nuclear magnetic resonance imaging; in vivo study; data base; liver; abdomen; image reconstruction; latent period; online system; real time; three-dimensional imaging; article; golden-angle radial; motion tracking; mr-guided radiation therapy; mr-linac; mrsigma; xd-grasp; magnetic resonance signature matching; real time volumetric imaging
Journal Title: Magnetic Resonance in Medicine
Volume: 84
Issue: 3
ISSN: 0740-3194
Publisher: John Wiley & Sons  
Date Published: 2020-09-01
Start Page: 1280
End Page: 1292
Language: English
DOI: 10.1002/mrm.28200
PUBMED: 32086858
PROVIDER: scopus
PMCID: PMC8585549
DOI/URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085664662&doi=10.1002%2fmrm.28200&partnerID=40&md5=55ef1244b55f1fcedb9dd62bdfbb8096
Notes: Article -- Export Date: 1 July 2020 -- Source: Scopus
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MSK Authors
  1. Neelam Tyagi
    151 Tyagi
  2. Jose Ricardo Otazo Torres
    47 Otazo Torres
  3. Li Feng
    10 Feng
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