In the context of quantitative Magnetic Resonance Imaging (qMRI), the recently proposed Magnetic Resonance Fingerprinting (MRF) technique has significantly reduced the acquisition time. MRF reconstructions are based on the correlation of multiple aggressively undersampled time acquisitions. Coil sensitivity calibration is a crucial step in the reconstruction process to obtain accurate results. Traditionally, MRF calibration is performed upstream of the imaging process, using a different acquisition. This technique makes the overall acquisition time consuming and may introduce artefacts in the image estimate. Usual MRI self-calibration methods, reconstructing independently the time acquisitions, are not suitable for highly undersampled MRF data. In this work, leveraging recent developments in non-convex optimisation, we propose the first self-calibration method for MRF, exploiting the correlation in the time acquisitions.
|Number of pages||1|
|Publication status||Published - Feb 2019|
|Event||International BASP Frontiers workshop 2019 - Villars sur Ollon, Switzerland|
Duration: 3 Feb 2019 → 8 Feb 2019
|Workshop||International BASP Frontiers workshop 2019|
|City||Villars sur Ollon|
|Period||3/02/19 → 8/02/19|