Optimal material discrimination using spectral x-ray imaging.

Abstract:

:Spectral x-ray imaging using novel photon counting x-ray detectors (PCDs) with energy resolving abilities is capable of providing energy-selective images. PCDs have energy thresholds, enabling the classification of photons into multiple energy bins. The extra energy information provided may allow materials such as iodine and calcium, or water and fat to be distinguishable. The information content of spectral x-ray images, however, depends on how the photons are grouped together. In this work, we present a model to optimize energy windows for maximum material discrimination. Multivariate statistics allows the confidence region of the correlated uncertainties to be mapped in the thickness space. Minimization of the uncertainties enables optimization of energy windows. Applications related to small animal imaging and breast imaging are considered.

journal_name

Phys Med Biol

authors

Nik SJ,Meyer J,Watts R

doi

10.1088/0031-9155/56/18/012

subject

Has Abstract

pub_date

2011-09-21 00:00:00

pages

5969-83

issue

18

eissn

0031-9155

issn

1361-6560

pii

S0031-9155(11)86230-5

journal_volume

56

pub_type

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