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Three-dimensional volume rendering of the ankle based on magnetic resonance images enables the generation of images comparable to real anatomy

机译:基于磁共振图像的踝关节三维立体渲染可生成与真实解剖结构相当的图像

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摘要

We have applied high-quality medical imaging techniques to study the structure of the human ankle. Direct volume rendering, using specific algorithms, transforms conventional two-dimensional (2D) magnetic resonance image (MRI) series into 3D volume datasets. This tool allows high-definition visualization of single or multiple structures for diagnostic, research, and teaching purposes. No other image reformatting technique so accurately highlights each anatomic relationship and preserves soft tissue definition. Here, we used this method to study the structure of the human ankle to analyze tendon–bone–muscle relationships. We compared ankle MRI and computerized tomography (CT) images from 17 healthy volunteers, aged 18–30 years (mean 23 years). An additional subject had a partial rupture of the Achilles tendon. The MRI images demonstrated superiority in overall quality of detail compared to the CT images. The MRI series accurately rendered soft tissue and bone in simultaneous image acquisition, whereas CT required several window-reformatting algorithms, with loss of image data quality. We obtained high-quality digital images of the human ankle that were sufficiently accurate for surgical and clinical intervention planning, as well as for teaching human anatomy. Our approach demonstrates that complex anatomical structures such as the ankle, which is rich in articular facets and ligaments, can be easily studied non-invasively using MRI data.
机译:我们已经应用了高质量的医学成像技术来研究人类脚踝的结构。使用特定算法的直接体积渲染将常规的二维(2D)磁共振图像(MRI)系列转换为3D体积数据集。该工具可以对单个或多个结构进行高清可视化,以用于诊断,研究和教学目的。没有其他图像重新格式化技术可以如此精确地突出显示每个解剖关系并保留软组织的清晰度。在这里,我们使用这种方法来研究人脚踝的结构,以分析肌腱-骨骼-肌肉的关系。我们比较了18至30岁(平均23岁)的17位健康志愿者的踝部MRI和计算机断层扫描(CT)图像。另一名受试者的跟腱部分破裂。与CT图像相比,MRI图像在整体细节质量上显示出优越性。 MRI系列可以在同时采集图像的同时准确地渲染出软组织和骨骼,而CT需要使用几种窗口重新格式化算法,但会损失图像数据质量。我们获得了高质量的人类脚踝数字图像,这些图像对于外科手术和临床干预计划以及人体解剖学的教学是足够准确的。我们的方法表明,可以使用MRI数据轻松地以非侵入性方式研究复杂的解剖结构,例如踝关节,该踝关节富含关节面和韧带。

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