Dark field of lung microstructures from synchrotron micro CT to a table top setup
From monochromatic beam and single sizes to a lung model
\(B = v / v_0 = \exp (-\mu_B t)\)
Sample made of identical spheres of the same material
\(\mu_B(r, E; n, f)\) studied in recent literature:
- \(r\) radius of the spheres
- \(E\) beam energy
- \(n\) refractive index
- \(f\) volume fraction occupied by the spheres
Literature links
we used the latest for which we have the
code
Polychromatic extension
\[
\mu_B = \int_{\text{radii}}\int_{\text{energies}} \mu(r, E; n, f)\rho(r)s(E)\mathop{dr}\mathop{dE}
\]
input |
description |
source |
\(s(E)\) |
source spectrum |
simulation |
\(n\) |
refractive index |
NIST database |
\(f\) |
volume fraction occupied by spheres |
microtomography |
\(\rho(r)\) |
distribution of sphere sizes |
microtomography |
Consistency check: integrating over energies only
Estimating \(n\) and \(f\)
-
\(n\):
NIST database
with density matching beamline absorption at 12 keV
-
\(f\): pixel counting in the segmented image
From lung microstructures to sphere distributions
Technical challenges
- datasets with 2540x2160x6000 pixels
- fiji implementation has excessive requirements on both memory and processing time
Complete rewrite
- C and C++ with python bindings
-
code (with Goran and Arttu)
- eliminate empty spaces outside of the sample
- ignore airways larger than 100 μm
- process spheres from the largest to the smallest, drastically reducing cpu cycles
- split volume into several subvolumes for a smaller memory footprint
- used all hardware resources: gws-3, gws-4 and RA cluster
Polychromatic extension
\[
\mu_B = \int_{\text{radii}}\int_{\text{energies}} \mu(r, E; n, f)\rho(r)s(E)\mathop{dr}\mathop{dE}
\]
input |
description |
source |
\(s(E)\) |
source spectrum |
simulation |
\(n\) |
refractive index |
NIST database |
\(f\) |
volume fraction occupied by spheres |
microtomography |
\(\rho(r)\) |
distribution of sphere sizes |
microtomography |
Thank you for your attention
Microtomography and postprocessing
- synchrotron microtomography
- segmentation
G. Lovrić et al., Automated computer-assisted quantitative analysis of intact murine lungs at the alveolar scale, in press 10.1371/journal.pone.0183979
Alveoli as spheres
- fit spheres in the lung microstructures
- plot diameter distribution
G. Lovrić et al., Automated computer-assisted quantitative analysis of intact murine lungs at the alveolar scale, in press 10.1371/journal.pone.0183979
The final model
sum over the sphere size distribution times the dark field response for each spere size
ground truth
dark-field response