Fast Functional Imaging using Interleaved Data Acquisition & Compressed Sensing

Thimo Grotz¹, Benjamin Zahneisen¹, Maxim Zaitsev¹, Jrgen Hennig¹

It has been demonstrated that strongly undersampled single shot trajectories combined with multi channel arrays can be used to speed up functional imaging while maintaining good spatial resolution. Spatial resolution of dynamic imaging methods can be improved by employing an interleaved data acquisition scheme and by using information from several interleaves to reconstruct a time frame. We demonstrate that using a 3d radial single shot trajectory, combination of k-space data from adjacent interleaves according to KWIC (k-space weighted image contrast) and compressed sensing image reconstruction can improve spatial resolution for fast functional imaging and maintain a high temporal resolution.