Fast quantitative susceptibility reconstruction via total field inversion with improved weighted L₀ norm...

Area of Science:

• Magnetic Resonance Imaging (MRI)
• Biomedical Engineering
• Medical Physics

Background:

• Quantitative susceptibility mapping (QSM) is a vital MRI technique for assessing tissue magnetic properties.
• Current QSM reconstruction methods often decompose the problem, leading to parameter discontinuity and accumulated errors.
• Existing methods struggle with reconstructing QSM in brains with lesions.

Purpose of the Study:

• To introduce a fast reconstruction method for quantitative susceptibility mapping (QSM) called fast TFI.
• To address the limitations of independent sub-problem solving in QSM reconstruction.
• To improve the accuracy and robustness of QSM, especially in compromised brain tissues.

Main Methods:

• Developed a fast total field inversion (TFI) method for QSM reconstruction.
• Employed a specially selected preconditioner to accelerate the inversion process.
• Utilized an advanced solution for weighted L0 regularization.

Main Results:

• The fast TFI method demonstrated accelerated total field inversion.
• Achieved efficient QSM reconstruction for brains with lesions, outperforming other methods.
• Experimental results showed improved reconstruction accuracy, faster convergence, and excellent robustness.

Conclusions:

• The proposed fast TFI method offers a significant advancement in QSM reconstruction.
• The method's effectiveness in handling complex cases like brain lesions suggests broader clinical utility.
• This technique has the potential to promote the wider clinical application of QSM.