Motion‐robust T2∗$$ {\mathrm{T}}_2^{\ast } $$ quantification from low‐resolution gradient echo brain MRI with physics‐informed deep learning
PHIMO+'s competitive motion correction performance, combined with a reduction in acquisition time by over 40% compared to the state-of-the-art method, makes it a promising solution for motion-robust <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics> <mml:mrow> <mml:msubsup><mml:mrow><mml:mi>T</mml:mi></mml:mrow> <mml:mrow><mml:mn>2</mml:mn></mml:mrow> <mml:mrow><mml:mo>∗</mml:mo></mml:mrow> </mml:msubsup> </mml:mrow> <mml:annotation>$$ {\mathrm{T}}_2^{\ast } $$</mml:annotation></mml:semantics> </mml:math> quantification in research settings and clinical routine.
Authors
- Veronika Spieker (ORCID: https://orcid.org/0000-0001-7720-7569)
- Julia A. Schnabel (ORCID: https://orcid.org/0000-0001-6107-3009)
- Christine Preibisch (ORCID: https://orcid.org/0000-0003-4067-1928)
- Lina Felsner (ORCID: https://orcid.org/0000-0001-7695-2612)
- Kerstin Hammernik (ORCID: https://orcid.org/0000-0002-2734-1409)
- Kilian Weiss (ORCID: https://orcid.org/0000-0003-4295-4585)
- Hannah Eichhorn (ORCID: https://orcid.org/0000-0001-6980-9703)
- Elisa Saks
Institutions
- King's College London (GB)
- TUM Klinikum (DE)
- Helmholtz Zentrum München (DE)
- King's College School (GB)
- Philips (Germany) (DE)
- Technical University of Munich (DE)
Publication Details
- Journal
- Magnetic Resonance in Medicine
- Published
- 2025-08-22
- DOI
- https://doi.org/10.1002/mrm.70050
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Deutscher Akademischer Austauschdienst