Title: Advances in Reconstruction Algorithms for Muon Tomography
1Advances in Reconstruction Algorithms for Muon
Tomography
- R. Hoch, M. Hohlmann, D. Mitra, K. Gnanvo
2Muon Tomography
- Cosmic Ray Muons
- More massive cousin of electron, produced by
cosmic ray decay at rate 1 per cm2/min - Highly penetrating, but affected by Coulomb force
- Tomography
- Imaging by sections
- CT, SPECT, PET scans
3Muon Tomography Concept
4Reconstruction Algorithms
- Point of Closest Approach (POCA)
- Geometry based
- Estimate where muon scattered
- Expectation Maximization (EM)
- Developed at Los Alamos National Laboratory
- More physics based
- Uses more information than POCA
- Estimate what type of material is in a given
sub-volume
5POCA Concept
Incoming ray
3D
POCA
Emerging ray
6POCA Result
40cmx40cmx20cm Blocks (Al, Fe, Pb, W, U)
T
Unit mm
U
W
Pb
Fe
Al
7POCA Discussion
- Pros
- Fast and efficient
- Accurate for simple scenarios
- Cons
- Doesnt use all available information
- Unscattered tracks are useless
8EM Basis
Scattering Angle Scattering function
Distribution Gaussian (Rossi)
9EM Concept
L
T
Voxels following POCA track
10Algorithm
- gather data (?Tx, ??y, ?x, ?y, pr2)
- estimate LT for all muon-tracks
- initialize ? (small non-zero number)
- for each iteration k1 to I
- for each muon-track i1 to M
- Compute Cij
- for each voxel j1 to N
- return ?
11EM Results
40cmx40cmx20cm U block centered at the origin
Unit mm
z
x
y
12EM Results
40cmx40cmx20cm Blocks (Al, Fe, Pb, W, U)
10cmx10cmx10cm Blocks (Al, Fe, Pb, W, U)
Unit mm
Unit mm
U
U
W
W
Fe
Pb
Fe
Pb
z
z
Al
Al
x
x
y
y
13Median Method
- Rare large scattering events cause the average
correction value to be too big - Instead, use median as opposed to average
- Significant computational and storage issues
- Use binning to get an approximate median
14EM Median Results
40cmx40cmx20cm U block centered at the origin
Unit mm
z
x
y
15EM Results
40cmx40cmx20cm Blocks (Al, Fe, Pb, W, U)
Average
Approximate Median
Unit mm
Unit mm
U
U
W
W
Fe
Pb
Pb
Fe
z
z
Al
Al
x
y
x
y
16Future Work
- Improvement of lambda values/convergence
- Online (Incremental) EM
- Combination between EM and POCA
- Analysis of complex scenarios