Abstract #2845

Estimating Shared Relaxation and Susceptibility Tensor Eigenvectors Enhances STI Tractography in the Heart, Kidney, and Brain

Russell Dibb^1,2, Luke Xie^1,3, and Chunlei Liu^4,5

¹Center for In Vivo Microscopy, Duke University, Durham, NC, United States, ²Biomedical Engineering, Duke University, Durham, NC, United States, ³Utah Center for Advanced Imaging Research, University of Utah, Salt Lake City, UT, United States, ⁴Brain Imaging & Analysis Center, Duke University, Durham, NC, United States, ⁵Radiology, Duke University, Durham, NC, United States

Conjoint relaxation and susceptibility tensor imaging (CRSTI) uses both magnitude- and phase-derived tensor data to compute susceptibility-based tractography in magnetically anisotropic tissues. CRSTI reduces image artifacts that appear in traditional susceptibility tensor imaging by taking advantage of mutual eigenvector data in relaxation and susceptibility tensors. We present an efficient conjoint tensor estimation algorithm and demonstrate improved susceptibility-based tractography in myofibers, renal tubules, and axon fiber bundles. As susceptibility imaging is sensitive to both microstructure and cellular content, CRSTI is a potential tool for studying disease in tissues throughout the body.

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