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

Department of Clinical Medicine

Research output: Contribution to journal › Journal article › Research › peer-review

7 Citations (Scopus)

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.

Original language	English
Journal	European Journal of Radiology
Volume	71
Issue number	2
Pages (from-to)	211-6
Number of pages	5
ISSN	0720-048X
DOIs	https://doi.org/10.1016/j.ejrad.2009.04.046
Publication status	Published - 2009

Bibliographical note

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

Access to Document

10.1016/j.ejrad.2009.04.046

Library access?

Check availability at the Royal Danish Library

Cite this

@article{cd886fd06a4611df928f000ea68e967b,

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",

year = "2009",

doi = "10.1016/j.ejrad.2009.04.046",

language = "English",

volume = "71",

pages = "211--6",

journal = "European Journal of Radiology",

issn = "0720-048X",

publisher = "Elsevier Ireland Ltd",

number = "2",

}

TY - JOUR

T1 - Assessement of rheumatic diseases with computational radiology: current status and future potential

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

Y1 - 2009

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

IS - 2

ER -