High resolution three‐dimensional (3D) magnetic resonance (MR) images are well suited for automated cartilage segmentation in the human knee joint. However, volumetric scans such as 3D Double‐Echo Steady‐State (DESS) images are not routinely acquired in clinical practice which limits opportunities for reliable cartilage segmentation using (fully) automated algorithms. In this work, a method for generating synthetic 3D MR (syn3D‐DESS) images with better contrast and higher spatial resolution from routine, low resolution, two‐dimensional (2D) Turbo‐Spin Echo (TSE) clinical knee scans is proposed.

中文翻译：

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同时改善膝关节常规临床磁共振图像的超分辨率和对比度合成，以改善关节软骨的自动分割：来自骨关节炎计划的数据。

高分辨率三维（3D）磁共振（MR）图像非常适合于人膝关节中的自动软骨分割。但是，在临床实践中通常不会采集体积扫描，例如3D双回波稳态（DESS）图像，这限制了使用（完全）自动化算法进行可靠的软骨分割的机会。在这项工作中，提出了一种从常规，低分辨率，二维（2D）Turbo-Spin Echo（TSE）临床膝关节扫描生成具有更好对比度和更高空间分辨率的合成3D MR（syn3D-DESS）图像的方法。