Assessement of rheumatic diseases with computational radiology: current status and future potential

Philipp Peloschek; Mikael Boesen; Rene Donner; Olga Kubassova; Erich Birngruber; Janina Patsch; Marius Mayerhöfer; Georg Langs

doi:10.1016/j.ejrad.2009.04.046

Assessement of rheumatic diseases with computational radiology: current status and future potential

Philipp Peloschek, Mikael Boesen, Rene Donner, Olga Kubassova, Erich Birngruber, Janina Patsch, Marius Mayerhöfer, Georg Langs

Institut for Klinisk Medicin

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

7 Citationer (Scopus)

Abstract

Udgivelsesdato: 2009-Aug

Originalsprog	Engelsk
Tidsskrift	European Journal of Radiology
Vol/bind	71
Udgave nummer	2
Sider (fra-til)	211-6
Antal sider	5
ISSN	0720-048X
DOI	https://doi.org/10.1016/j.ejrad.2009.04.046
Status	Udgivet - 2009

Bibliografisk note

Keywords: Algorithms; Artificial Intelligence; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Rheumatic Diseases; Sensitivity and Specificity

Adgang til dokumentet

10.1016/j.ejrad.2009.04.046

Citationsformater

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title = "Assessement of rheumatic diseases with computational radiology: current status and future potential",

abstract = "In recent years, several computational image analysis methods to assess disease progression in rheumatic diseases were presented. This review article explains the basics of these methods as well as their potential application in rheumatic disease monitoring, it covers radiography, sonography as well as magnetic resonance imaging in quantitative analysis frameworks.",

author = "Philipp Peloschek and Mikael Boesen and Rene Donner and Olga Kubassova and Erich Birngruber and Janina Patsch and Marius Mayerh{\"o}fer and Georg Langs",

note = "Keywords: Algorithms; Artificial Intelligence; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Rheumatic Diseases; Sensitivity and Specificity",

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AU - Peloschek, Philipp

AU - Boesen, Mikael

AU - Donner, Rene

AU - Kubassova, Olga

AU - Birngruber, Erich

AU - Patsch, Janina

AU - Mayerhöfer, Marius

AU - Langs, Georg

N1 - Keywords: Algorithms; Artificial Intelligence; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Rheumatic Diseases; Sensitivity and Specificity

PY - 2009

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N2 - In recent years, several computational image analysis methods to assess disease progression in rheumatic diseases were presented. This review article explains the basics of these methods as well as their potential application in rheumatic disease monitoring, it covers radiography, sonography as well as magnetic resonance imaging in quantitative analysis frameworks.

AB - In recent years, several computational image analysis methods to assess disease progression in rheumatic diseases were presented. This review article explains the basics of these methods as well as their potential application in rheumatic disease monitoring, it covers radiography, sonography as well as magnetic resonance imaging in quantitative analysis frameworks.

U2 - 10.1016/j.ejrad.2009.04.046

DO - 10.1016/j.ejrad.2009.04.046

M3 - Journal article

C2 - 19457632

SN - 0720-048X

VL - 71

SP - 211

EP - 216

JO - European Journal of Radiology

JF - European Journal of Radiology

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