Evaluation of Automated Volumetric Cartilage Quantification for Hip Preservation Surgery

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• 作者：Austin J. Ramme ; MD ; PhD^a ; Michael S. Guss ; MD^a ; Shaleen Vira ; MD^a ; Jonathan M. Vigdorchik ; MD^a ; Axel Newe^b ; ^c ; Esther Raithel ; PhD^d ; Gregory Chang ; MD^e ;
• 关键词：magnetic resonance imaging ; automated segmentation ; cartilage evaluation ; variability ; interrater
• 刊名：The Journal of Arthroplasty
• 出版年：2016
• 出版时间：January 2016
• 年：2016
• 卷：31
• 期：1
• 页码：64-69
• 全文大小：950 K

文摘

Automating the process of femoroacetabular cartilage identification from magnetic resonance imaging (MRI) images has important implications to guiding clinical care by providing a temporal metric that allows for optimizing the timing for joint preservation surgery. In this paper, we evaluate a new automated cartilage segmentation method using a time trial, segmented volume comparison, overlap metrics, and Euclidean distance mapping. We report interrater overlap metrics using the true fast imaging with steady-state precession MRI sequence of 0.874, 0.546, and 0.704 for the total overlap, union overlap, and mean overlap, respectively. This method was 3.28 × faster than manual segmentation. This technique provides clinicians with volumetric cartilage information that is useful for optimizing the timing for joint preservation procedures.