Palombo, M;
Shemesh, N;
Ianus, A;
Alexander, D;
Zhang, H;
(2018)
A compartment based model for non-invasive cell body imaging by diffusion MRI.
In: Miller, KL and Port, JD, (eds.)
Proceedings of the Joint Annual Meeting ISMRM-ESMRMB 2018.
ISMRM (International Society for Magnetic Resonance in Medicine): Concord, CA, USA.
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Abstract
This study aims to open a new window onto brain tissue microstructure by proposing a new technique to estimate cell body (namely soma) size/density non-invasively. Using Monte-Carlo simulation and data from rat brain, we show that soma’s size and density have a specific signature on the direction-averaged DW-MRI signal at high b values. Simulation shows that, at reasonably short diffusion times, soma and neurites can be approximated as two non-exchanging compartments, modelled as “sphere” and “sticks” respectively. Fitting this simple compartment model to rat data produces maps with contrast consistent with published histological data.
| Type: | Proceedings paper |
|---|---|
| Title: | A compartment based model for non-invasive cell body imaging by diffusion MRI |
| Event: | Joint Annual Meeting ISMRM-ESMRMB 2018, 16-21 June 2018, Paris, France |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://www.ismrm.org/18m/ |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10074388 |
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