Abstract #2632
Inferring Axon Diameter Sizes using Monte Carlo Simulations and Oscillating Gradient Spin Echo Sequences
Sheryl L Herrera 1 , Trevor J Vincent 2,3 , Morgan E Mercredi 1 , Richard Buist 4 , Christopher P Bidinosti 1,2 , and Melanie Martin 2,5
1
Physics & Astronomy, University of Manitoba,
Winnipeg, Manitoba, Canada,
2
Physics,
University of Winnipeg, Manitoba, Canada,
3
Astronomy
& Astrophysics, University of Toronto, Ontario, Canada,
4
Radiology,
University of Manitoba, Manitoba, Canada,
5
Physics
& Astronomy, Radiology, University of Manitoba,
Manitoba, Canada
We simulate cylindrical geometries using OGSE and
AxCaliber to determine diameter distributions. The fit
results agree reasonably with the geometry. Numbers of
small axons are underestimated and larger axons are
overestimated. The calculated mean radius (1.57
0.01m)
is comparable with the actual mean radius (1.67m). The
CHARMED model simulates the extracellular space as
hindered, whereas ours was restricted. Because the
CHARMED model signal is proportional to r
2
,
the larger axons are overestimated. With noise the
smaller axons are harder to identify. These reasons
could account for some discrepancy between the fitted
and actual data. Modifications are necessary to the
CHARMED model.
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