Fast multi-component analysis using a joint sparsity constraint for MR fingerprinting

<br/>Purpose<br/><br/>To develop an efficient algorithm for multi‐component analysis of magnetic resonance fingerprinting (MRF) data without making a priori assumptions about the exact number of tissues or their relaxation properties.<br/>Methods<br/><br/>Different tissues or components within a voxel are potentially separable in MRF because of...

Sparsity promoting algorithms for multi-component magnetic resonance parameter mapping

Magnetic resonance imaging (MRI) is often used to obtain qualitative images of the human brain. Different kinds of tissues can be recognised from the different levels of contrast. Multi-echo spin-echo T 2 MR measurements can be used to obtain a quantitative map of the brain where different tissues or components can be recognised based on a...