Improved liver fat and R2* quantification at 0.<scp>55 T</scp> using locally low‐rank denoising
We validated an acquisition protocol for improved PDFF and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics> <mml:mrow><mml:msubsup><mml:mi>R</mml:mi> <mml:mn>2</mml:mn> <mml:mo>*</mml:mo></mml:msubsup> </mml:mrow> <mml:annotation>$$ {R}_2^{\ast } $$</mml:annotation></mml:semantics> </mml:math> quantification at 0.55 T. Both RLLR and RMT denoising improved the accuracy and precision of PDFF and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics> <mml:mrow><mml:msubsup><mml:mi>R</mml:mi> <mml:mn>2</mml:mn> <mml:mo>*</mml:mo></mml:msubsup> </mml:mrow> <mml:annotation>$$ {R}_2^{\ast } $$</mml:annotation></mml:semantics> </mml:math> measurements.
Authors
- Bilal Taşdelen (ORCID: https://orcid.org/0000-0001-6462-3651)
- Zhaohuan Zhang (ORCID: https://orcid.org/0000-0001-8086-6522)
- Xiaodong Zhong (ORCID: https://orcid.org/0000-0001-8355-5279)
- Ecrin Yağız (ORCID: https://orcid.org/0000-0001-8113-2192)
- Sophia Cui (ORCID: https://orcid.org/0000-0002-5133-4903)
- Krishna S. Nayak (ORCID: https://orcid.org/0000-0001-5735-3550)
- Shu‐Fu Shih (ORCID: https://orcid.org/0000-0002-3812-9091)
- Holden H. Wu (ORCID: https://orcid.org/0000-0002-2585-5916)
Institutions
- University of Southern California (US)
- University of California, Los Angeles (US)
- Siemens Healthcare (United States) (US)
Publication Details
- Journal
- Magnetic Resonance in Medicine
- Published
- 2024-10-09
- DOI
- https://doi.org/10.1002/mrm.30324
- Citations
- 7
- Primary Topic
- Liver Disease Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 2.71
Funders
- National Science Foundation
- National Institute of Diabetes and Digestive and Kidney Diseases
- National Institute of Biomedical Imaging and Bioengineering