3D shape reconstruction of the femur from planar X-ray images using statistical shape and appearance models.

3D shape reconstruction of the femur from planar X-ray images using statistical shape and appearance models.
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DOI:
10.1186/s12938-023-01093-z
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发表时间:
2023-03-24
影响因子:
3.9
通讯作者:
Bull, Anthony M. J.
Bull, Anthony M. J.
中科院分区:
工程技术3区
文献类型:
--
作者:
Nolte, Daniel;Xie, Shuqiao;Bull, Anthony M. J.

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严重创伤是一种可能导致严重骨损伤的疾病。定制的骨科重建允许进行保肢手术,并有助于恢复关节排列。为了获得最佳结果,三维 (3D) 医学成像是必要的,但其可用性和可及性(尤其是在发展中国家)可能具有挑战性。在这项研究中,评估了根据代表骨缺损的平面射线照片重建的股骨 3D 骨形状在骨科手术中的应用。使用 40 具尸体 X 射线计算机断层扫描 (CT) 图像生成的统计形状和外观模型来重建 3D 骨骼形状。重建模拟全骨 0% 至 50% 之间的骨缺损,并比较使用前后 (AP) 和前后/内侧 - 外侧 (AP/ML) X 射线的预测准确性。作为比较的误差度量,使用了评估投影的轮廓线之间的距离的测量以及比较图像强度的相似性的测量。使用表面误差的均方根距离以及常用解剖测量的差异来评估结果,包括弓形、股骨颈、骨干-髁突以及形状模型重建表面与 CT 图像重建完整形状之间的角度。重建的平均表面误差在 1.59 到 3.59 毫米之间,其中使用 AP/ML 方向的轮廓误差度量进行的重建是最准确的。弓和股骨颈角度的预测远低于 3° 的临床阈值精度,骨干-髁角度约为 3° 的阈值,只有 5.3° 至 9.3° 之间的版本角预测高于临床阈值,但低于使用计算机导航在临床实践中报告的范围(即 17° 内旋至 15° 外旋)。这项研究表明,使用统计形状和外观模型从部分可用的平面图像进行重建具有一定的准确性,这将支持它们在骨科重建中的潜在用途。
Major trauma is a condition that can result in severe bone damage. Customised orthopaedic reconstruction allows for limb salvage surgery and helps to restore joint alignment. For the best possible outcome three dimensional (3D) medical imaging is necessary, but its availability and access, especially in developing countries, can be challenging. In this study, 3D bone shapes of the femur reconstructed from planar radiographs representing bone defects were evaluated for use in orthopaedic surgery. Statistical shape and appearance models generated from 40 cadaveric X-ray computed tomography (CT) images were used to reconstruct 3D bone shapes. The reconstruction simulated bone defects of between 0% and 50% of the whole bone, and the prediction accuracy using anterior–posterior (AP) and anterior–posterior/medial–lateral (AP/ML) X-rays were compared. As error metrics for the comparison, measures evaluating the distance between contour lines of the projections as well as a measure comparing similarities in image intensities were used. The results were evaluated using the root-mean-square distance for surface error as well as differences in commonly used anatomical measures, including bow, femoral neck, diaphyseal–condylar and version angles between reconstructed surfaces from the shape model and the intact shape reconstructed from the CT image. The reconstructions had average surface errors between 1.59 and 3.59 mm with reconstructions using the contour error metric from the AP/ML directions being the most accurate. Predictions of bow and femoral neck angles were well below the clinical threshold accuracy of 3°, diaphyseal–condylar angles were around the threshold of 3° and only version angle predictions of between 5.3° and 9.3° were above the clinical threshold, but below the range reported in clinical practice using computer navigation (i.e., 17° internal to 15° external rotation). This study shows that the reconstructions from partly available planar images using statistical shape and appearance models had an accuracy which would support their potential use in orthopaedic reconstruction.
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