In this paper a powerful image analysis technique based on the multivariate analysis of photon spectra coming from 
a Compton scattering process is presented to study the electronic density of a phantom model simulating a homoge- 
neous background material with insertion of different composition. The photon spectra have been measured by the 
Enhanced Compton Spectrometer (ECoSp) device performing a voxel-by-voxel linear scan of phantom models simu- 
lating both the homogeneous and inhomogeneous material composition. Some spectral energy windows containing 
either or both inelastic and elastic scattered photons have been selected and collected in a single multi variate data 
matrix X. The Multivariate Image Analysis (MIA) ofthe matrix X allows one to indicate the presence ofheterogeneous 
materials in a given voxel by dissecting its contribution from the overall variability ofthe data matrix. The MIA leads to 
a series of images that describes the sample elemental composition.

Multivariate image analysis of ECoSp Compton spectra

BONIFAZZI, Claudio;MUZZIOLI, Valerio;
2004

Abstract

In this paper a powerful image analysis technique based on the multivariate analysis of photon spectra coming from 
a Compton scattering process is presented to study the electronic density of a phantom model simulating a homoge- 
neous background material with insertion of different composition. The photon spectra have been measured by the 
Enhanced Compton Spectrometer (ECoSp) device performing a voxel-by-voxel linear scan of phantom models simu- 
lating both the homogeneous and inhomogeneous material composition. Some spectral energy windows containing 
either or both inelastic and elastic scattered photons have been selected and collected in a single multi variate data 
matrix X. The Multivariate Image Analysis (MIA) ofthe matrix X allows one to indicate the presence ofheterogeneous 
materials in a given voxel by dissecting its contribution from the overall variability ofthe data matrix. The MIA leads to 
a series of images that describes the sample elemental composition.
2004
Bonifazzi, Claudio; Lodi, E.; Maino, G.; Muzzioli, Valerio; Nanetti, L.; Tartari, A.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/1197127
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