MR SIGnature MAtching (MRSIGMA) with retrospective self-evaluation for real-time volumetric motion imaging Journal Article

   


Authors: Kim, N.; Tringale, K. R.; Crane, C.; Tyagi, N.; Otazo, R.
Article Title: MR SIGnature MAtching (MRSIGMA) with retrospective self-evaluation for real-time volumetric motion imaging
Abstract: Objective. MR SIGnature MAtching (MRSIGMA) is a real-time volumetric MRI technique to image tumor and organs at risk motion in real-time for radiotherapy applications, where a dictionary of high-resolution 3D motion states and associated motion signatures are computed first during offline training and real-time 3D imaging is performed afterwards using fast signature-only acquisition and signature matching. However, the lack of a reference image with similar spatial resolution and temporal resolution introduces significant challenges for in vivo validation. Approach. This work proposes a retrospective self-validation for MRSIGMA, where the same data used for real-time imaging are used to create a non-real-time reference for comparison. MRSIGMA with self-validation is tested in patients with liver tumors using quantitative metrics defined on the tumor and nearby organs-at-risk structures. The dice coefficient between contours defined on the real-time MRSIGMA and non-real-time reference was used to assess motion imaging performance. Main Results. Total latency (including signature acquisition and signature matching) was between 250 and 314 ms, which is sufficient for organs affected by respiratory motion. Mean ± standard deviation dice coefficient over time was 0.74 ± 0.03 for patients imaged without contrast agent and 0.87 ± 0.03 for patients imaged with contrast agent, which demonstrated high-performance real-time motion imaging. Signficance. MRSIGMA with self-evaluation provides a means to perform real-time volumetric MRI for organ motion tracking with quantitative performance measures. © 2021 Institute of Physics and Engineering in Medicine
Keywords: magnetic resonance imaging; radiotherapy; tumors; self evaluation; real-time mri; compressed sensing; compressed-sensing; volumetrics; mr-linac; mri-guided radiotherapy; radial mri; motion imaging; real- time; signature-matching
Journal Title: Physics in Medicine and Biology
Volume: 66
Issue: 21
ISSN: 0031-9155
Publisher: IOP Publishing Ltd  
Date Published: 2021-11-01
Start Page: 215009
Language: English
DOI: 10.1088/1361-6560/ac2dd2
PROVIDER: scopus
PUBMED: 34619666
PMCID: PMC9152766
DOI/URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119170319&doi=10.1088%2f1361-6560%2fac2dd2&partnerID=40&md5=6b65830e141b7126a6dfa23e99c4d36e
Notes: Article -- Export Date: 1 December 2021 -- Source: Scopus
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MSK Authors
  1. Neelam Tyagi
    151 Tyagi
  2. Christopher Crane
    202 Crane
  3. Jose Ricardo Otazo Torres
    47 Otazo Torres
  4. Kathryn Ries Tringale
    101 Tringale
  5. Nathaniel Tae-Sik Kim
    10 Kim
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