Optimized flow compensation for contrast-enhanced T1-weighted Wave-CAIPI 3D MPRAGE imaging of the brain
Abstract Flow-related artifacts have been observed in highly accelerated T1-weighted contrast-enhanced wave-controlled aliasing in parallel imaging (CAIPI) magnetization-prepared rapid gradient-echo (MPRAGE) imaging and can lead to diagnostic uncertainty. We developed an optimized flo...
| Main Authors: | , , , , , , , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Springer Vienna
2023
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| Online Access: | https://hdl.handle.net/1721.1/151043 |
| _version_ | 1826211656737226752 |
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| author | Tabari, Azadeh Lang, Min Awan, Komal Liu, Wei Clifford, Bryan Lo, Wei-Ching Splitthoff, Daniel N. Cauley, Stephen Rapalino, Otto Schaefer, Pamela Huang, Susie Y. Conklin, John |
| author2 | Harvard University--MIT Division of Health Sciences and Technology |
| author_facet | Harvard University--MIT Division of Health Sciences and Technology Tabari, Azadeh Lang, Min Awan, Komal Liu, Wei Clifford, Bryan Lo, Wei-Ching Splitthoff, Daniel N. Cauley, Stephen Rapalino, Otto Schaefer, Pamela Huang, Susie Y. Conklin, John |
| author_sort | Tabari, Azadeh |
| collection | MIT |
| description | Abstract
Flow-related artifacts have been observed in highly accelerated T1-weighted contrast-enhanced wave-controlled aliasing in parallel imaging (CAIPI) magnetization-prepared rapid gradient-echo (MPRAGE) imaging and can lead to diagnostic uncertainty. We developed an optimized flow-mitigated Wave-CAIPI MPRAGE acquisition protocol to reduce these artifacts through testing in a custom-built flow phantom. In the phantom experiment, maximal flow artifact reduction was achieved with the combination of flow compensation gradients and radial reordered k-space acquisition and was included in the optimized sequence. Clinical evaluation of the optimized MPRAGE sequence was performed in 64 adult patients, who all underwent contrast-enhanced Wave-CAIPI MPRAGE imaging without flow-compensation and with optimized flow-compensation parameters. All images were evaluated for the presence of flow-related artifacts, signal-to-noise ratio (SNR), gray-white matter contrast, enhancing lesion contrast, and image sharpness on a 3-point Likert scale. In the 64 cases, the optimized flow mitigation protocol reduced flow-related artifacts in 89% and 94% of the cases for raters 1 and 2, respectively. SNR, gray-white matter contrast, enhancing lesion contrast, and image sharpness were rated as equivalent for standard and flow-mitigated Wave-CAIPI MPRAGE in all subjects. The optimized flow mitigation protocol successfully reduced the presence of flow-related artifacts in the majority of cases.
Relevance statement
As accelerated MRI using novel encoding schemes become increasingly adopted in clinical practice, our work highlights the need to recognize and develop strategies to minimize the presence of unexpected artifacts and reduction in image quality as potential compromises to achieving short scan times.
Key points
• Flow-mitigation technique led to an 89–94% decrease in flow-related artifacts.
• Image quality, signal-to-noise ratio, enhancing lesion conspicuity, and image sharpness were preserved with the flow mitigation technique.
• Flow mitigation reduced diagnostic uncertainty in cases where flow-related artifacts mimicked enhancing lesions.
Graphical Abstract |
| first_indexed | 2024-09-23T15:09:27Z |
| format | Article |
| id | mit-1721.1/151043 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T15:09:27Z |
| publishDate | 2023 |
| publisher | Springer Vienna |
| record_format | dspace |
| spelling | mit-1721.1/1510432024-01-05T21:02:19Z Optimized flow compensation for contrast-enhanced T1-weighted Wave-CAIPI 3D MPRAGE imaging of the brain Tabari, Azadeh Lang, Min Awan, Komal Liu, Wei Clifford, Bryan Lo, Wei-Ching Splitthoff, Daniel N. Cauley, Stephen Rapalino, Otto Schaefer, Pamela Huang, Susie Y. Conklin, John Harvard University--MIT Division of Health Sciences and Technology Abstract Flow-related artifacts have been observed in highly accelerated T1-weighted contrast-enhanced wave-controlled aliasing in parallel imaging (CAIPI) magnetization-prepared rapid gradient-echo (MPRAGE) imaging and can lead to diagnostic uncertainty. We developed an optimized flow-mitigated Wave-CAIPI MPRAGE acquisition protocol to reduce these artifacts through testing in a custom-built flow phantom. In the phantom experiment, maximal flow artifact reduction was achieved with the combination of flow compensation gradients and radial reordered k-space acquisition and was included in the optimized sequence. Clinical evaluation of the optimized MPRAGE sequence was performed in 64 adult patients, who all underwent contrast-enhanced Wave-CAIPI MPRAGE imaging without flow-compensation and with optimized flow-compensation parameters. All images were evaluated for the presence of flow-related artifacts, signal-to-noise ratio (SNR), gray-white matter contrast, enhancing lesion contrast, and image sharpness on a 3-point Likert scale. In the 64 cases, the optimized flow mitigation protocol reduced flow-related artifacts in 89% and 94% of the cases for raters 1 and 2, respectively. SNR, gray-white matter contrast, enhancing lesion contrast, and image sharpness were rated as equivalent for standard and flow-mitigated Wave-CAIPI MPRAGE in all subjects. The optimized flow mitigation protocol successfully reduced the presence of flow-related artifacts in the majority of cases. Relevance statement As accelerated MRI using novel encoding schemes become increasingly adopted in clinical practice, our work highlights the need to recognize and develop strategies to minimize the presence of unexpected artifacts and reduction in image quality as potential compromises to achieving short scan times. Key points • Flow-mitigation technique led to an 89–94% decrease in flow-related artifacts. • Image quality, signal-to-noise ratio, enhancing lesion conspicuity, and image sharpness were preserved with the flow mitigation technique. • Flow mitigation reduced diagnostic uncertainty in cases where flow-related artifacts mimicked enhancing lesions. Graphical Abstract 2023-07-10T11:08:59Z 2023-07-10T11:08:59Z 2023-07-03 2023-07-09T03:17:52Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/151043 European Radiology Experimental. 2023 Jul 03;7(1):34 PUBLISHER_CC en https://doi.org/10.1186/s41747-023-00351-y Creative Commons Attribution http://creativecommons.org/licenses/by/4.0/ The Author(s) application/pdf Springer Vienna Springer Vienna |
| spellingShingle | Tabari, Azadeh Lang, Min Awan, Komal Liu, Wei Clifford, Bryan Lo, Wei-Ching Splitthoff, Daniel N. Cauley, Stephen Rapalino, Otto Schaefer, Pamela Huang, Susie Y. Conklin, John Optimized flow compensation for contrast-enhanced T1-weighted Wave-CAIPI 3D MPRAGE imaging of the brain |
| title | Optimized flow compensation for contrast-enhanced T1-weighted Wave-CAIPI 3D MPRAGE imaging of the brain |
| title_full | Optimized flow compensation for contrast-enhanced T1-weighted Wave-CAIPI 3D MPRAGE imaging of the brain |
| title_fullStr | Optimized flow compensation for contrast-enhanced T1-weighted Wave-CAIPI 3D MPRAGE imaging of the brain |
| title_full_unstemmed | Optimized flow compensation for contrast-enhanced T1-weighted Wave-CAIPI 3D MPRAGE imaging of the brain |
| title_short | Optimized flow compensation for contrast-enhanced T1-weighted Wave-CAIPI 3D MPRAGE imaging of the brain |
| title_sort | optimized flow compensation for contrast enhanced t1 weighted wave caipi 3d mprage imaging of the brain |
| url | https://hdl.handle.net/1721.1/151043 |
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