首页> 外文会议>Image Processing pt.3; Progress in Biomedical Optics and Imaging; vol.7 no.30 >Investigation of temporal radiographic texture analysis for the detection of periprosthetic osteolysis
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Investigation of temporal radiographic texture analysis for the detection of periprosthetic osteolysis

机译:颞部射线照相纹理分析检测假体周围骨溶解的研究

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Periprosthetic osteolysis is a disease caused by the body's response to submicron polyethylene debris particles from the hip implant in total hip replacement (THR) patients. It leads to resorption of bone surrounding the implant and deterioration of the bone's trabecular texture, but this is difficult to detect until the later stages of disease progression. Radiographic texture analysis methods have shown promise in detecting this disease at an earlier stage; however, changes in texture over time may be more important than absolute texture measures. In this research, we investigated temporal radiographic texture analysis (tRTA) methods as possible aids in the detection of osteolysis. A database of 48 THR cases with images available from four different follow-up time intervals was used. ROIs were selected within the osteolytic region of the most recent follow-up image (or comparable region for normal cases) and visually matched on all previous images. Texture features were calculated from the ROIs and then trend analysis was performed using a simple linear regression method, an LDA method and a BANN method. The performance of these three methods was evaluated by ROC analysis. Maximum AUC values of 0.68, 0.78, and 0.88 for the task of distinguishing between osteolysis and normal cases were achieved for the respective tRTA features. These performances were superior to those of our prior stationary, non-temporal texture analysis. The results suggest that tRTA may have the potential to help detect osteolysis at an earlier, more treatable stage.
机译:假体周围骨质溶解是由人体对全髋关节置换术(THR)患者对来自髋植入物的亚微米聚乙烯碎屑颗粒的反应引起的。它导致植入物周围的骨吸收并破坏骨小梁质地,但这要等到疾病进展的后期才能被发现。射线照相质地分析方法已显示出在早期发现这种疾病的希望。但是,纹理随时间的变化可能比绝对纹理度量更为重要。在这项研究中,我们调查了时间射线照相纹理分析(tRTA)方法,作为检测溶骨的可能手段。使用了一个包含48个THR病例的数据库,其中包含来自四个不同随访时间间隔的图像。在最近的随访图像的溶骨区域(或正常病例的可比区域)内选择ROI,并在所有先前图像上进行视觉匹配。从ROI计算纹理特征,然后使用简单的线性回归方法,LDA方法和BANN方法进行趋势分析。通过ROC分析评估了这三种方法的性能。对于各自的tRTA功能,区分骨溶解和正常病例的最大AUC值分别为0.68、0.78和0.88。这些性能优于我们先前的静态非时间纹理分析。结果表明,tRTA可能具有在更早,更可治疗的阶段帮助检测骨溶解的潜力。

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