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首页> 外文期刊>Journal of the Chinese Institute of Industrial Engineers >Image enhancement of shoulder magnetic resonance imaging in rotator cuff injury diagnosis * (*: g9621802@yuntech.edu.tw) View all notes
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Image enhancement of shoulder magnetic resonance imaging in rotator cuff injury diagnosis * (*: g9621802@yuntech.edu.tw) View all notes

机译:肩部磁共振成像在肩袖损伤诊断中的图像增强*(*:g9621802@yuntech.edu.tw)查看所有注释

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Purpose: Magnetic Resonance Imaging is the most common tool used to diagnose supraspinatus muscle rupture or tear. However, discriminating the features between the rupture and the tear in MR images is difficult, and leads to low diagnostic accuracy. In this article, image enhancement techniques are performed on the original images to improve diagnostic performance. Methods: Three types of histogram-based image enhancement techniques are employed to enhance rotor cuff MR images: (1) histogram equalization; (2) weighted histogram separation (WHS); and (3) coupled WHS. The peak signal-to-noise ratio (PSNR) was used to evaluate the quality of the enhanced images. The experimental group comprises the enhanced images with the highest PSNR and the original MR images. The control group comprises only the original MR images. Both the control group and experimental group were randomly presented to three orthopedic physicians for performance evaluation. The accuracy rate and F-measure were applied to measure the average classification performance. The McNemar test was then employed to test the significance levels of the proposed enhancement techniques. Results: Experimental results showed the original MR image combined with the coupled WHS images (experimental group) outperforms the original MR image (control group) both in accuracy rate and F-measure. The McNemar test shows that the experimental group significantly outperforms the control group in terms of classifying the injury by type. Conclusion: A coupled WHS image enhancement technique was developed to assist the diagnosis of rotator cuff MR imaging by type. Experimental results showed that the proposed enhancement techniques improve the average diagnostic performance and facilitate the classification of the injury by type. (Magnetic resonance imaging MRI) Histogram equalization (Weighted Histogram Separation, WHS) WHS Peak Signal to Noise Ratio, PSNR F-measure WHS WHS F-measure McNemar + coupled WHS View full textDownload full textKeywordsimage enhancement, weighted histogram separation (WHS), magnetic resonance imaging, rotator cuff injuryKeywords Related var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/10170669.2012.659220
机译:目的:磁共振成像是用于诊断棘上肌断裂或撕裂的最常用工具。然而,难以区分MR图像中的破裂和撕裂之间的特征,并且导致低的诊断准确性。在本文中,对原始图像执行图像增强技术以提高诊断性能。方法:采用三种基于直方图的图像增强技术来增强转子套囊MR图像:(1)直方图均衡; (2)加权直方图分离(WHS); (3)结合WHS。峰值信噪比(PSNR)用于评估增强图像的质量。实验组包括具有最高PSNR的增强图像和原始MR图像。对照组仅包括原始MR图像。对照组和实验组均随机分配给三位骨科医师进行性能评估。准确率和F度量用于测量平均分类性能。然后使用McNemar测试来测试所提出增强技术的显着性水平。结果:实验结果表明,原始MR图像与耦合的WHS图像(实验组)在准确率和F测量方面均优于原始MR图像(对照组)。 McNemar测试显示,在按类型分类伤害方面,实验组明显优于对照组。结论:开发了一种耦合的WHS图像增强技术,以帮助按类型诊断肩袖MR图像。实验结果表明,所提出的增强技术提高了平均诊断性能,并有助于按类型对损伤进行分类。 (磁共振成像MRI)直方图均衡(加权直方图分离,WHS)WHS峰信噪比,PSNR F量度WHS WHS F量度McNemar +耦合WHS查看全文下载全文关键词图像增强,加权直方图分离(WHS),磁性共振成像,肩袖损伤。 -4dff56cd6bb1830b“};添加到候选列表链接永久链接http://dx.doi.org/10.1080/10170669.2012.659220

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