首页> 外文会议>IEEE Engineering in Medicine and Biology Society., Conference. >Fusion of Multinuclear Magnetic Resonance Images of Knee for the Assessment of Articular Cartilage
【24h】

Fusion of Multinuclear Magnetic Resonance Images of Knee for the Assessment of Articular Cartilage

机译:膝关节软骨评估膝关节的多核磁共振图像融合

获取原文

摘要

The onset of osteoarthritis (OA), a most common knee joint disease, can be characterized by the degeneration of articular cartilage (AC). Degenerative changes in AC have been assessed by the morphological and physiological measurements using non-invasive modality such as Magnetic Resonance Imaging (MRI) to obtain MRI images of the knee. However, visualization and quantification of AC from MR images is difficult due to the low visibility contrast of AC compared to surrounding tissues, low and varying signal intensities in cartilage region and variable intensities in different slices of single dataset. In this work, we present a method to fuse multinuclear (~(23)Na and ~1H) MR images acquired in the same plane without changing the position of the human knee as well as the Radio Frequency (RF) coil. This work is performed towards our hypothesis that fusion of sodium and proton images will provide an enhanced image that can be used for an accurate assessment of cartilage morphology. Our result shows that merging of sodium knee MR image with proton knee MR image resulting in enhanced contrast information in the cartilage region and resolves low visibility and varying intensities issue with 2D/3D proton MR. We conclude that the proposed method can further be utilized for the accurate assessment of cartilage morphology.
机译:骨关节炎(OA)的发作,是一种最常见的膝关节疾病,可以通过关节软骨(AC)的变性来表征。通过使用非侵入式模态(如磁共振成像(MRI))的形态和生理测量来评估AC的退行性变化,以获得膝关节的MRI图像。然而,由于AC的低可见性对比与与周围组织相比,软骨区域的低和不同信号强度和不同切片的不同切片中的可变强度相比,来自MR图像的可视化和定量来自MR图像的可视化和定量。在这项工作中,我们提出了一种熔断器的核心(〜(23)Na和〜1h)MR图像的方法,而不改变人膝部的位置以及射频(RF)线圈。这项工作是对我们的假设进行的,即钠和质子图像的融合将提供增强的图像,可用于准确评估软骨形态。我们的结果表明,用质子膝关节MR图像合并具有质子膝关节MR图像,导致软骨区域中的造影信息增强,并用2D / 3D质子MR解决了低的可见度和不同强度问题。我们得出结论,该方法可以进一步用于准确评估软骨形态。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号