HDNLS: Hybrid Deep-Learning and Non-Linear Least Squares-Based Method for Fast Multi-Component T1ρ Mapping in the Knee Joint

Non-linear least squares (NLS) methods are commonly used for quantitative magnetic resonance imaging (MRI), especially for multi-exponential T1ρ mapping, which provides precise parameter estimation for different relaxation models in tissues, such as mono-exponential (ME), bi-exponential (BE), and st...

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Bibliographic Details
Main Authors: Dilbag Singh, Ravinder R. Regatte, Marcelo V. W. Zibetti
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Bioengineering
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Online Access:https://www.mdpi.com/2306-5354/12/1/8
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