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Title: | 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 | Authors: | Harris, W Yin, FF Cai, J Ren, L |
Issue Date: | Feb-2020 | Source: | Quantitative imaging in medicine and surgery, Feb. 2020, v. 10, no. 2, p. 432-450 | Abstract: | Background: The purpose of this study is to improve on-board volumetric cine magnetic resonance imaging (VC-MRI) using multi-slice undersampled tine 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 for m01-06 =m05-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-Line 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 cinc images for real-time 3D target verification. |
Keywords: | Volumetric-cine magnetic resonance imaging (volumetric-cine MRI) Target verification Motion modeling Free-form deformation K-t SLR reconstruction |
Publisher: | AME Publishing Company | Journal: | Quantitative imaging in medicine and surgery | ISSN: | 2223-4292 | EISSN: | 2223-4306 | DOI: | 10.21037/qims.2019.12.10 | Rights: | All AME journals content is published Open Access under the Creative Commons Attribution-NonCommercial-NoDerivs License (CC BY-NC-ND 4.0). All open access articles published will be immediately and permanently free for everyone to read, download, copy, and distribute as defined by the applied license. Free access and usage: Permitted third party reuse is defined by the CC BY-NC-ND 4.0 license. This license allows users to copy and distribute the article, provided: - this is not done for commercial purposes and further does not permit distribution of the Article if it is changed or edited in any way. - the user gives appropriate credit (with a link to the formal publication through the relevant DOI) and provides a link to the license but not in an any way implying that the licensor is endorsing the user or the use of the work. - no derivatives including remix, transform, or build upon the material was allowed for distribution. The full details of the license are available at https://creativecommons.org/licenses/by-nc-nd/4.0/ © Quantitative Imaging in Medicine and Surgery. All rights reserved. The following publication Harris W, Yin FF, Cai J, Ren L. 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 2020;10(2):432-450. doi: 10.21037/qims.2019.12.10 is available at https://dx.doi.org/10.21037/qims.2019.12.10 |
Appears in Collections: | Journal/Magazine Article |
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Harris_Vc-Mri_Free-Form_Deformation.pdf | 2.02 MB | Adobe PDF | View/Open |
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