Hao Tan1, Weitian Chen2,3, Peng Hu2,4, G. W. Miller5, T. A. Altes5, J. F. Mata5, E. E. de Lange5, G. D. Cates5,6, Ray F. Lee7, Craig H. Meyer2,5, John P. Mugler III2,5
1Electrical Engineering, University of Virginia, Charlottesville, VA, USA; 2Biomedical Engineering, University of Virginia, Charlottesville, VA, USA; 3now with GE Healthcare; 4now with Beth Israel Deaconess Medical Center; 5Department of Radiology, University of Virginia, Charlottesville, VA, USA; 6Physics, University of Virginia, Charlottesville, VA, USA; 7Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA
We developed two variable-density parallel-spiral sequences with parallel image reconstruction based on successive convolution operations (BOSCO) reconstruction for rapid lung imaging using hyperpolarized 3He. These sequences yielded images with spatial resolution and image quality comparable to standard GRE images. We also developed the first BOSCO image reconstruction technique for single-shot spiral, using inverse gridding for BOSCO training. Future work will concentrate on optimizing the flip angles to maximize SNR, and on developing a 3D parallel-spiral acquisition.