Processing of spectral X-ray data with principal components analysis

被引：22

作者：

Butler, Anthony P. H. ^{[1
,2
,3
]}

Butzer, Jochen ^{[1
,4
]}

Schleich, Nanette ^{[1
,5
]}

Cook, Nicholas J. ^{[2
,5
]}

Anderson, Nigel G. ^{[2
]}

Scott, Nicola ^{[2
]}

de Ruiter, Niels ^{[1
]}

Grasset, Raphael ^{[1
]}

Tlustos, Lukas ^{[3
]}

Butler, Philip H. ^{[1
,3
]}

机构：

[1] Univ Canterbury, Christchurch 1, New Zealand

[2] Univ Otago, Christchurch, New Zealand

[3] European Org Nucl Res CERN, Geneva, Switzerland

[4] Karlsruhe Inst Technol, Karlsruhe, Germany

[5] Canterbury Dist Hlth Board, Canterbury, New Zealand

来源：

NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT | 2011年 / 633卷

关键词：

Spectroscopic X-ray; Computed tomography; Medipix; Principal component analysis;

D O I：

10.1016/j.nima.2010.06.149

中图分类号：

TH7 [仪器、仪表];

学科分类号：

080401 [精密仪器及机械];

摘要：

The goal of the work was to develop a general method for processing spectral x-ray image data. Principle component analysis (PCA) is a well understood technique for multivariate data analysis and so was investigated. To assess this method, spectral (multi-energy) computed tomography (CT) data was obtained using a Medipix2 detector in a MARS-CT (Medipix All Resolution System). PCA was able to separate bone (calcium) from two elements with k-edges in the X-ray spectrum used (iodine and barium) within a mouse. This has potential clinical application in dual-energy CT systems and future Medipix3 based spectral imaging where up to eight energies can be recorded simultaneously with excellent energy resolution. (c) 2010 Elsevier B.V. All rights reserved.

引用

页码：S140 / S142

页数：3

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