462-02-007 ISMRM Abstract

Fast Differentiable CRLB Optimization for QTI: Gradient-Based Design of Robust Microstructural Encodings

Primary: Diffusion - Microstructure

Secondary: Diffusion - Diffusion Acquisition

462-02-007 · Diffusion MRI Neuroscience · Tuesday, 12 May, 9:15 AM–10:10 AM · Digital Posters Row C

Keywords: Optimal experimental design Diffusion magnetic resonance imaging Q-space trajectory imaging Constrained Automatic Differentiation

Accepted

Mahsa Rajabi¹, Merry Mani²

¹Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, United States of America

²Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, United States of America

Presenting Author: Chu-Yu Lee

Synopsis

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References

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7. P. K. Lee, L. E. Watkins, T. I. Anderson, G. Buonincontri, and B. A. Hargreaves, “Flexible and efficient optimization of quantitative sequences using automatic differentiation of Bloch simulations,” Magnetic Resonance in Medicine, vol. 82, no. 4, pp. 1438–1451, May 2019, doi: https://doi.org/10.1002/mrm.27832. [doi]

8. Filip Szczepankiewicz, S. Hoge, and C.-F. Westin, “Linear, planar and spherical tensor-valued diffusion MRI data by free waveform encoding in healthy brain, water, oil and liquid crystals,” Data in Brief, vol. 25, pp. 104208–104208, Jul. 2019, doi: https://doi.org/10.1016/j.dib.2019.104208. [doi]

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http://echo.ismrm.org/p/ISMRM2026/462-02-007