Selective excitation enables encoding and measurement of multiple diffusion parameters in a single experiment

MacKinnon, Neil; Alinaghian, Mehrdad; Silva, Pedro; Gloge, Thomas; Luy, Burkhard; Jouda, Mazin; Korvink, Jan G.

doi:https://doi.org/10.5194/mr-2-835-2021

Articles | Volume 2, issue 2

https://doi.org/10.5194/mr-2-835-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Geoffrey Bodenhausen Festschrift

https://doi.org/10.5194/mr-2-835-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 2, issue 2

Research article

|

19 Nov 2021

Research article |

| 19 Nov 2021

Selective excitation enables encoding and measurement of multiple diffusion parameters in a single experiment

Neil MacKinnon, Mehrdad Alinaghian, Pedro Silva, Thomas Gloge, Burkhard Luy, Mazin Jouda, and Jan G. Korvink

Data sets

Selective excitation enables encoding and measurement of multiple diffusion parameters in a single experiment (1.0.0) Neil MacKinnon, Mehrdad Alinaghian, Pedro Silva, Thomas Gloge, Burkhard Luy, Mazin Jouda, and Jan G. Korvink https://doi.org/10.5281/zenodo.5105713

Model code and software

Selective excitation enables encoding and measurement of multiple diffusion parameters in a single experiment (1.0.0) Neil MacKinnon, Mehrdad Alinaghian, Pedro Silva, Thomas Gloge, Burkhard Luy, Mazin Jouda, and Jan G. Korvink https://doi.org/10.5281/zenodo.5105713

Short summary

To increase experimental efficiency, information can be encoded in parallel by taking advantage of highly resolved NMR spectra. Here we demonstrate parallel encoding of optimal diffusion parameters by selectively using a resonance for each molecule in the sample. This yields a factor of n decrease in experimental time since n experiments can be encoded into a single measurement. This principle can be extended to additional experimental parameters as a means to further improve measurement time.