A fully automated trabecular bone structural analysis tool based on T2* -weighted magnetic resonance imaging

Markus Kraiger, Petros Martirosian, Peter Opriessnig, Frank Eibofner, Hansjoerg Rempp, Michael Hofer, Fritz Schick, Rudolf Stollberger

Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung

Abstract

One major source affecting the precision of bone structure analysis in quantitative magnetic resonance imaging (qMRI) is inter- and intraoperator variability, inherent in delineating and tracing regions of interest along longitudinal studies. In this paper an automated analysis tool, featuring bone marrow segmentation, region of interest generation, and characterization of cancellous bone of articular joints is presented. In evaluation studies conducted at the knee joint the novel analysis tool significantly decreased the standard error of measurement and improved the sensitivity in detecting minor structural changes. It further eliminated the need of time-consuming user interaction, and thereby increasing reproducibility.

Originalspracheenglisch
Seiten (von - bis)85-94
Seitenumfang10
FachzeitschriftComputerized medical imaging and graphics
Jahrgang36
Ausgabenummer2
DOIs
PublikationsstatusVeröffentlicht - Mär 2012

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Magnetic resonance
Structural analysis
Bone
Joints
Magnetic Resonance Imaging
Imaging techniques
Knee Joint
Longitudinal Studies
Bone Marrow
Bone and Bones
Cancellous Bone

Schlagwörter

  • MRI
  • Quantification

Dies zitieren

A fully automated trabecular bone structural analysis tool based on T2* -weighted magnetic resonance imaging. / Kraiger, Markus; Martirosian, Petros; Opriessnig, Peter; Eibofner, Frank; Rempp, Hansjoerg; Hofer, Michael; Schick, Fritz; Stollberger, Rudolf.

in: Computerized medical imaging and graphics, Jahrgang 36, Nr. 2, 03.2012, S. 85-94.

Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung

Kraiger, Markus ; Martirosian, Petros ; Opriessnig, Peter ; Eibofner, Frank ; Rempp, Hansjoerg ; Hofer, Michael ; Schick, Fritz ; Stollberger, Rudolf. / A fully automated trabecular bone structural analysis tool based on T2* -weighted magnetic resonance imaging. in: Computerized medical imaging and graphics. 2012 ; Jahrgang 36, Nr. 2. S. 85-94.
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abstract = "One major source affecting the precision of bone structure analysis in quantitative magnetic resonance imaging (qMRI) is inter- and intraoperator variability, inherent in delineating and tracing regions of interest along longitudinal studies. In this paper an automated analysis tool, featuring bone marrow segmentation, region of interest generation, and characterization of cancellous bone of articular joints is presented. In evaluation studies conducted at the knee joint the novel analysis tool significantly decreased the standard error of measurement and improved the sensitivity in detecting minor structural changes. It further eliminated the need of time-consuming user interaction, and thereby increasing reproducibility.",
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AU - Kraiger, Markus

AU - Martirosian, Petros

AU - Opriessnig, Peter

AU - Eibofner, Frank

AU - Rempp, Hansjoerg

AU - Hofer, Michael

AU - Schick, Fritz

AU - Stollberger, Rudolf

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N2 - One major source affecting the precision of bone structure analysis in quantitative magnetic resonance imaging (qMRI) is inter- and intraoperator variability, inherent in delineating and tracing regions of interest along longitudinal studies. In this paper an automated analysis tool, featuring bone marrow segmentation, region of interest generation, and characterization of cancellous bone of articular joints is presented. In evaluation studies conducted at the knee joint the novel analysis tool significantly decreased the standard error of measurement and improved the sensitivity in detecting minor structural changes. It further eliminated the need of time-consuming user interaction, and thereby increasing reproducibility.

AB - One major source affecting the precision of bone structure analysis in quantitative magnetic resonance imaging (qMRI) is inter- and intraoperator variability, inherent in delineating and tracing regions of interest along longitudinal studies. In this paper an automated analysis tool, featuring bone marrow segmentation, region of interest generation, and characterization of cancellous bone of articular joints is presented. In evaluation studies conducted at the knee joint the novel analysis tool significantly decreased the standard error of measurement and improved the sensitivity in detecting minor structural changes. It further eliminated the need of time-consuming user interaction, and thereby increasing reproducibility.

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KW - Male

KW - Middle Aged

KW - Pattern Recognition, Automated

KW - Reproducibility of Results

KW - Sensitivity and Specificity

KW - Software

KW - Tibia

KW - Journal Article

KW - Research Support, Non-U.S. Gov't

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