Tobias C Wood1, Emil Ljungberg1, and Mark Chiew2
1Neuroimaging, King's College London, London, United Kingdom, 2Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
1Neuroimaging, King's College London, London, United Kingdom, 2Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
We present a method for filling the dead-time gap in ZTE imaging using a parallel imaging technique. We present results in phantoms and a human brain demonstrating high fidelity reconstructions comparable to existing methods that require collection of additional data.
Figure 4: A low-resolution head scan acquired with a fast bandwidth and angular under-sampling. Despite the increased dead-time gap and paucity of calibration data, ZINFANDEL provides an artefact free reconstruction.
Figure 2: Diagram of the ZINFANDEL algorithm. In step 1, a kernel matrix W is calculated from the calibration region. In step 2, a point in the dead-time gap is filled. By looping first over spokes and then missed samples, the matrix W can be progressively updated towards the center of k-space.
