Processing of spectral X-ray data with principal components analysis

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 ob...

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Detalles Bibliográficos
Autores principales: Butler, A P H, Butler, P H, Cook, N J, Butzer, J, Schleich, N, Tlustos, L, Scott, N, Grasset, R, de Ruiter, N, Anderson, N G
Lenguaje:eng
Publicado: 2011
Materias:
Detectors and Experimental Techniques
Nuclear Physics - XX
XX
Acceso en línea:https://dx.doi.org/10.1016/j.nima.2010.06.149
http://cds.cern.ch/record/1399797
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author Butler, A P H
Butler, P H
Cook, N J
Butzer, J
Schleich, N
Tlustos, L
Scott, N
Grasset, R
de Ruiter, N
Anderson, N G
author_facet Butler, A P H
Butler, P H
Cook, N J
Butzer, J
Schleich, N
Tlustos, L
Scott, N
Grasset, R
de Ruiter, N
Anderson, N G
author_sort Butler, A P H
collection CERN
description 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.
id cern-1399797
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2011
record_format invenio
spelling cern-13997972019-09-30T06:29:59Zdoi:10.1016/j.nima.2010.06.149http://cds.cern.ch/record/1399797engButler, A P HButler, P HCook, N JButzer, JSchleich, NTlustos, LScott, NGrasset, Rde Ruiter, NAnderson, N GProcessing of spectral X-ray data with principal components analysisDetectors and Experimental TechniquesNuclear Physics - XXXXThe 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.oai:cds.cern.ch:13997972011
spellingShingle Detectors and Experimental Techniques
Nuclear Physics - XX
XX
Butler, A P H
Butler, P H
Cook, N J
Butzer, J
Schleich, N
Tlustos, L
Scott, N
Grasset, R
de Ruiter, N
Anderson, N G
Processing of spectral X-ray data with principal components analysis
title Processing of spectral X-ray data with principal components analysis
title_full Processing of spectral X-ray data with principal components analysis
title_fullStr Processing of spectral X-ray data with principal components analysis
title_full_unstemmed Processing of spectral X-ray data with principal components analysis
title_short Processing of spectral X-ray data with principal components analysis
title_sort processing of spectral x-ray data with principal components analysis
topic Detectors and Experimental Techniques
Nuclear Physics - XX
XX
url https://dx.doi.org/10.1016/j.nima.2010.06.149
http://cds.cern.ch/record/1399797
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