Abstract #4132

In vivo O-space Turbo Spin Echo Imaging with New Reconstruction Algorithm

Nadine Luedicke Dispenza¹, Hemant Tagare^1,2, R. Todd Constable^2,3, and Galiana Gigi²

¹Department of Biomedical Engineering, Yale University, New Haven, CT, United States, ²Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States, ³Department of Neurosurgery, Yale University, New Haven, CT, United States

We report the first in-vivo T2 weighted O-space TSE images, and demonstrate that a single TSE dataset can generate T2w images for any of the echo times while still tolerating further undersampling from parallel imaging. In addition to reconstructions based on a refinement of a previously introduced filtering algorithm, we introduce a more general and rigorous reconstruction approach that exploits the geometric relationship between images in the T2w series. The proposed reconstruction algorithm reduces T2 blur and improves contrast agreement to Cartesian TSE images.

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