- Title
- Fast WASABI post-processing: Access to rapid B0 and B1 correction in clinical routine for CEST MRI
- Creator
- Papageorgakis, Christos; Firippi, Eleni; Gy, Benoit; Boutelier, Timothé; Khormi, Ibrahim; Al-iedani, Oun; Lechner-Scott, Jeannette; Ramadan, Saadallah; Liebig, Patrick; Schuenke, Patrick; Zaiss, Moritz; Casagranda, Stefano
- Relation
- Magnetic Resonance Imaging Vol. 102, Issue October 2023, p. 203-211
- Publisher Link
- http://dx.doi.org/10.1016/j.mri.2023.06.001
- Publisher
- Elsevier
- Resource Type
- journal article
- Date
- 2023
- Description
- CEST MRI methods, such as APT and NOE imaging reveal biomarkers with significant diagnostic potential due to their ability to access molecular tissue information. Regardless of the technique used, CEST MRI data are affected by static magnetic B0 and radiofrequency B1 field inhomogeneities that degrade their contrast. For this reason, the correction of B0 field-induced artefacts is essential, whereas accounting for B1 field inhomogeneities have shown significant improvements in image readability. In a previous work, an MRI protocol called WASABI was presented, which can map simultaneously B0 and B1 field inhomogeneities, while maintaining the same sequence and readout types as used for CEST MRI. Despite the highly satisfactory quality of B0 and B1 maps computed from the WASABI data, the post-processing method is based on an exhaustive search of a four-parameter space and an additional four-parameter non-linear model fitting step. This leads to long post-processing times that are prohibitive in clinical practice. This work provides a new method for fast post-processing of WASABI data with outstanding acceleration of the parameter estimation procedure and without compromising its stability. The resulting computational acceleration makes the WASABI technique suitable for clinical use. The stability of the method is demonstrated on phantom data and clinical 3 Tesla in vivo data.
- Subject
- CEST; WASABI; field mapping; B0-correction; B1-correction; post-processing
- Identifier
- http://hdl.handle.net/1959.13/1495702
- Identifier
- uon:54037
- Identifier
- ISSN:0730-725X
- Rights
- © 2023 Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
- Language
- eng
- Full Text
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