Artikel ; Online: MP-RAVE: IR-Prepared T
Magnetic resonance in medicine
2023 Band 90, Heft 1, Seite(n) 202–210
Abstract: Purpose: To describe an inversion-recovery T: Methods: The proposed sequence, named MP-RAVE, has been derived from a previously described radial stack-of-stars 3D GRE sequence (RAVE) and includes a 180° inversion recovery pulse that is generated once ...
Abstract | Purpose: To describe an inversion-recovery T Methods: The proposed sequence, named MP-RAVE, has been derived from a previously described radial stack-of-stars 3D GRE sequence (RAVE) and includes a 180° inversion recovery pulse that is generated once for every stack of radial views. The sequence is combined with retrospective 3D motion correction to improve robustness. The effectiveness has been evaluated in phantoms and healthy volunteers and compared to conventional MP-RAGE acquisition. Results: MP-RAGE and MP-RAVE anatomical images were rated "good" to "excellent" in overall image quality, with artifact level between "mild" and "no artifacts", and with no statistically significant difference between methods. During head motion, MP-RAVE showed higher inherent robustness with artifacts confined to local brain regions. In combination with motion correction, MP-RAVE provided noticeably improved image quality during different head motion and showed statistically significant improvement in image sharpness. Conclusion: MP-RAVE provides comparable image quality and contrast to conventional MP-RAGE with improved robustness to head motion. In combination with retrospective 3D motion correction, MP-RAVE can be a useful alternative to MP-RAGE, especially in non-cooperative or pediatric patients. |
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Mesh-Begriff(e) | Humans ; Child ; Retrospective Studies ; Imaging, Three-Dimensional/methods ; Contrast Media ; Magnetic Resonance Imaging/methods ; Brain/diagnostic imaging |
Chemische Substanzen | Contrast Media |
Sprache | Englisch |
Erscheinungsdatum | 2023-02-10 |
Erscheinungsland | United States |
Dokumenttyp | Journal Article ; Research Support, N.I.H., Extramural |
ZDB-ID | 605774-3 |
ISSN | 1522-2594 ; 0740-3194 |
ISSN (online) | 1522-2594 |
ISSN | 0740-3194 |
DOI | 10.1002/mrm.29614 |
Datenquelle | MEDical Literature Analysis and Retrieval System OnLINE |
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