A steady‐state MR fingerprinting sequence optimization framework applied to the fast 3D quantification of fat fraction and water T1 in the thigh muscles
The proposed framework paves the way for fast 3D quantification of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:mrow><mml:mi>F</mml:mi> <mml:mi>F</mml:mi></mml:mrow> <mml:annotation>$$ FF $$</mml:annotation></mml:semantics> </mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:mrow><mml:mi>T</mml:mi> <mml:msub><mml:mrow><mml:mn>1</mml:mn></mml:mrow> <mml:mrow><mml:mi>H</mml:mi> <mml:mn>2</mml:mn> <mml:mi>O</mml:mi></mml:mrow> </mml:msub> </mml:mrow> <mml:annotation>$$ T{1}_{H2O} $$</mml:annotation></mml:semantics> </mml:math> in the skeletal muscle.
Authors
- Pierre‐Yves Baudin (ORCID: https://orcid.org/0000-0001-8955-4648)
- Benjamin Marty (ORCID: https://orcid.org/0000-0002-4983-647X)
- Constantin Slioussarenko (ORCID: https://orcid.org/0009-0009-5822-6911)
Institutions
- Institut de Myologie (FR)
Publication Details
- Journal
- Magnetic Resonance in Medicine
- Published
- 2025-03-04
- DOI
- https://doi.org/10.1002/mrm.30490
- Citations
- 1
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 1.36
Funders
- Agence Nationale de la Recherche