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Volumetric cine magnetic resonance imaging (VC-MRI) using motion modeling, free-form deformation and multi-slice undersampled 2D cine MRI reconstructed with spatio-temporal low-rank decomposition.

Publication ,  Journal Article
Harris, W; Yin, F-F; Cai, J; Ren, L
Published in: Quant Imaging Med Surg
February 2020

BACKGROUND: The purpose of this study is to improve on-board volumetric cine magnetic resonance imaging (VC-MRI) using multi-slice undersampled cine images reconstructed using spatio-temporal k-space data, patient prior 4D-MRI, motion modeling (MM) and free-form deformation (FD) for real-time 3D target verification of liver and lung radiotherapy. METHODS: A previous method was developed to generate on-board VC-MRI by deforming prior MRI images based on a MM and a single-slice on-board 2D-cine image. The two major improvements over the previous method are: (I) FD was introduced to estimate VC-MRI to correct for inaccuracies in the MM; (II) multi-slice undersampled 2D-cine images reconstructed by a k-t SLR reconstruction method were used for FD-based estimation to maintain the temporal resolution while improving the accuracy of VC-MRI. The method was evaluated using XCAT lung simulation and four liver patients' data. RESULTS: For XCAT, VC-MRI estimated using ten undersampled sagittal 2D-cine MRIs resulted in volume percent difference/volume dice coefficient/center-of-mass shift of 9.77%±3.71%/0.95±0.02/0.75±0.26 mm among all scenarios based on estimation with MM and FD. Adding FD optimization improved VC-MRI accuracy substantially for scenarios with anatomical changes. For patient data, the mean tumor tracking errors were 0.64±0.51, 0.62±0.47 and 0.24±0.24 mm along the superior-inferior (SI), anterior-posterior (AP) and lateral directions, respectively, across all liver patients. CONCLUSIONS: It is feasible to improve VC-MRI accuracy while maintaining high temporal resolution using FD and multi-slice undersampled 2D cine images for real-time 3D target verification.

Duke Scholars

Published In

Quant Imaging Med Surg

DOI

ISSN

2223-4292

Publication Date

February 2020

Volume

10

Issue

2

Start / End Page

432 / 450

Location

China

Related Subject Headings

  • 5102 Atomic, molecular and optical physics
  • 4003 Biomedical engineering
  • 0299 Other Physical Sciences
  • 0205 Optical Physics
  • 0204 Condensed Matter Physics
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Harris, W., Yin, F.-F., Cai, J., & Ren, L. (2020). Volumetric cine magnetic resonance imaging (VC-MRI) using motion modeling, free-form deformation and multi-slice undersampled 2D cine MRI reconstructed with spatio-temporal low-rank decomposition. Quant Imaging Med Surg, 10(2), 432–450. https://doi.org/10.21037/qims.2019.12.10
Harris, Wendy, Fang-Fang Yin, Jing Cai, and Lei Ren. “Volumetric cine magnetic resonance imaging (VC-MRI) using motion modeling, free-form deformation and multi-slice undersampled 2D cine MRI reconstructed with spatio-temporal low-rank decomposition.Quant Imaging Med Surg 10, no. 2 (February 2020): 432–50. https://doi.org/10.21037/qims.2019.12.10.
Harris, Wendy, et al. “Volumetric cine magnetic resonance imaging (VC-MRI) using motion modeling, free-form deformation and multi-slice undersampled 2D cine MRI reconstructed with spatio-temporal low-rank decomposition.Quant Imaging Med Surg, vol. 10, no. 2, Feb. 2020, pp. 432–50. Pubmed, doi:10.21037/qims.2019.12.10.

Published In

Quant Imaging Med Surg

DOI

ISSN

2223-4292

Publication Date

February 2020

Volume

10

Issue

2

Start / End Page

432 / 450

Location

China

Related Subject Headings

  • 5102 Atomic, molecular and optical physics
  • 4003 Biomedical engineering
  • 0299 Other Physical Sciences
  • 0205 Optical Physics
  • 0204 Condensed Matter Physics