Clinical routine acquisition protocol for 3D relaxation‐compensated APT and rNOE CEST‐MRI of the human brain at 3T Article Swipe
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· 2021
· Open Access
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· DOI: https://doi.org/10.1002/mrm.28699
Purpose The value of relaxation‐compensated amide proton transfer (APT) and relayed nuclear Overhauser effect (rNOE) chemical exchange saturation transfer (CEST)‐MRI has already been demonstrated in various neuro‐oncological clinical applications. Recently, we translated the approach from 7T to a clinically relevant magnetic field strength of 3T. However, the overall acquisition time was still too long for a broad application in the clinical setting. The aim of this study was to establish a shorter acquisition protocol whilst maintaining the contrast behavior and reproducibility. Methods Ten patients with glioblastoma were examined using the previous state‐of‐the‐art acquisition protocol at 3T. The acquired spectral data were retrospectively reduced to find the minimal amount of required information that allows obtaining the same contrast behavior. To further reduce the acquisition time, also the image readout was accelerated and the pre‐saturation parameters were further optimized. Results In total, the overall acquisition time could be reduced from 19 min to under 7 min. One key finding was that, when evaluated by the relaxation‐compensated inverse metric, a contrast correction for B 1 ‐field inhomogeneities at 3T can also be achieved reliably with CEST data at only one B 1 value. In contrast, a 1‐point B 1 ‐correction was not sufficient for the common linear difference evaluation. The reproducibility of the new clinical routine acquisition protocol was similar to the previous state‐of‐the‐art protocol with limits of agreement below 20%. Conclusions The substantial reduction in acquisition time by about 64% now allows the application of 3D relaxation‐compensated APT and rNOE CEST‐MRI for examinations of the human brain at 3T in clinical routine.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/mrm.28699
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/mrm.28699
- OA Status
- bronze
- Cited By
- 20
- References
- 55
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3133252432
Raw OpenAlex JSON
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https://openalex.org/W3133252432Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/mrm.28699Digital Object Identifier
- Title
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Clinical routine acquisition protocol for 3D relaxation‐compensated APT and rNOE CEST‐MRI of the human brain at 3TWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-02-14Full publication date if available
- Authors
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Steffen Goerke, Johannes Breitling, Andreas Korzowski, Daniel Paech, Moritz Zaiß, Heinz‐Peter Schlemmer, Mark E. Ladd, Peter BachertList of authors in order
- Landing page
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https://doi.org/10.1002/mrm.28699Publisher landing page
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/mrm.28699Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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bronzeOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/mrm.28699Direct OA link when available
- Concepts
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Reproducibility, Protocol (science), Computer science, Data acquisition, Contrast (vision), Nuclear medicine, Nuclear magnetic resonance, Artificial intelligence, Physics, Medicine, Mathematics, Pathology, Statistics, Alternative medicine, Operating systemTop concepts (fields/topics) attached by OpenAlex
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20Total citation count in OpenAlex
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2025: 2, 2024: 4, 2023: 3, 2022: 7, 2021: 4Per-year citation counts (last 5 years)
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55Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| countries_distinct_count | 1 |
| institutions_distinct_count | 8 |
| corresponding_institution_ids | https://openalex.org/I17937529, https://openalex.org/I223822909 |
| citation_normalized_percentile.value | 0.80351749 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |