Dynamic glucose‐enhanced (DGE) MRI in the human brain at 7 T with reduced motion‐induced artifacts based on quantitative R1ρ mapping
| Autor: | Steffen Goerke, Johannes Breitling, Peter Bachert, Daniel Paech, Nina Weinfurtner, Moritz Zaiss, Philip S. Boyd, Mark E. Ladd, Ferdinand Zimmermann, Heinz-Peter Schlemmer, Andreas Korzowski, Patrick Schuenke |
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| Rok vydání: | 2020 |
| Předmět: |
Image Series
Computer science media_common.quotation_subject fungi Human brain Time gap Motion (physics) 030218 nuclear medicine & medical imaging Acquisition Protocol 03 medical and health sciences 0302 clinical medicine medicine.anatomical_structure Robustness (computer science) Relaxation rate medicine Contrast (vision) Radiology Nuclear Medicine and imaging 030217 neurology & neurosurgery Biomedical engineering media_common |
| Zdroj: | Magnetic Resonance in Medicine |
| Popis: | Purpose Dynamic glucose-enhanced (DGE)-MRI based on chemical exchange-sensitive MRI, that is, glucoCEST and gluco-chemical exchange-sensitive spin-lock (glucoCESL), is intrinsically prone to motion-induced artifacts because the final DGE contrast relies on the difference of images, which were acquired with a time gap of several mins. In this study, identification of different types of motion-induced artifacts led to the development of a 3D acquisition protocol for DGE examinations in the human brain at 7 T with improved robustness in the presence of subject motion. Methods DGE-MRI was realized by the chemical exchange-sensitive spin-lock approach based either on relaxation rate in the rotating frame (R1ρ )-weighted or quantitative R1ρ imaging. A 3D image readout was implemented at 7 T, enabling retrospective volumetric coregistration of the image series and quantification of subject motion. An examination of a healthy volunteer without administration of glucose allowed for the identification of isolated motion-induced artifacts. Results Even after coregistration, significant motion-induced artifacts remained in the DGE contrast based on R1ρ -weighted images. This is due to the spatially varying sensitivity of the coil and was found to be compensated by a quantitative R1ρ approach. The coregistered quantitative approach allowed the observation of a clear increase of the DGE contrast in a patient with glioblastoma, which did not correlate with subject motion. Conclusion The presented 3D acquisition protocol enables DGE-MRI examinations in the human brain with improved robustness against motion-induced artifacts. Correction of motion-induced artifacts is of high importance for DGE-MRI in clinical studies where an unambiguous assignment of contrast changes due to an actual change in local glucose concentration is a prerequisite. |
| Databáze: | OpenAIRE |
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