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

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• 作者：Markus Kraiger^a ; ^{mkraiger@student.tugraz.at}  ; [Author Vitae] ; Petros Martirosian^b ; ¹ ; ^{petros.martirosian@med.uni-tuebingen.de}  ; [Author Vitae] ; Peter Opriessnig^a ; ² ; ^{peter.opriessnig@tugraz.at}  ; [Author Vitae] ; Frank Eibofner^b ; ³ ; ^{frank.eibofner@med.uni-tuebingen.de}  ; [Author Vitae] ; Hansjoerg Rempp^b ; ³ ; ^{hansjoerg.rempp@med.uni-tuebingen.de}  ; [Author Vitae] ; Michael Hofer^a ; ⁴ ; ^{michael.hofer@tugraz.at}  ; [Author Vitae] ; Fritz Schick^b ; ⁵ ; ^{fritz.schick@med.uni-tuebingen.de}  ; [Author Vitae] ; Rudolf Stollberger^a ; ⁶ ; ^{rudolf.stollberger@tugraz.at}  ; [Author Vitae]
• 关键词：Segmentation ; Active contour ; Cancellous bone ; Articular joint ; Quantitative MRI ; Osteoporosis ; Osteoarthritis
• 刊名：Computerized Medical Imaging and Graphics
• 出版年：2012
• 出版时间：March 2012
• 年：2012
• 卷：36
• 期：2
• 页码：85-94
• 全文大小：1244 K

文摘

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.