Südhoff I, de Guise J A, Nordez A, Jolivet E, Bonneau D, Khoury V, Skalli W
Arts et Metiers Paristech, CNRS, Paris, France.
Med Biol Eng Comput. 2009 Jun;47(6):579-87. doi: 10.1007/s11517-009-0466-8. Epub 2009 Mar 10.
Patient-specific muscle geometry is not only an interesting clinical tool to evaluate different pathologies and treatments, but also provides an essential input data to more realistic musculoskeletal models. The protocol set up in our study provided the 3D-patient-specific geometry of the 13 main muscles involved in the knee joint motion from a few selected magnetic resonance images (MRIs). The contours of the muscles were identified on five to seven MRI axial slices. A parametric-specific object was then constructed for each muscle and deformed to fit those contours. The 13 muscles were obtained within 1 h, with less than 5% volume error and 5 mm point-surface error (2RMS). From this geometry, muscle volumes and volumic fractions of asymptomatic and anterior cruciate ligament deficient subjects could easily be computed and compared to previous studies. This protocol provides an interesting precision/time trade-off to obtain patient-specific muscular geometry.
特定患者的肌肉几何形状不仅是评估不同病理状况和治疗方法的有趣临床工具,还为更逼真的肌肉骨骼模型提供了重要的输入数据。我们研究中建立的方案从一些选定的磁共振成像(MRI)中提供了膝关节运动中涉及的13块主要肌肉的三维特定患者几何形状。在五到七个MRI轴向切片上识别出肌肉的轮廓。然后为每块肌肉构建一个参数特定的对象,并使其变形以拟合这些轮廓。13块肌肉在1小时内获得,体积误差小于5%,点-面误差小于5毫米(2RMS)。根据这种几何形状,可以轻松计算无症状和前交叉韧带损伤患者的肌肉体积和体积分数,并与先前的研究进行比较。该方案在获取特定患者肌肉几何形状方面提供了有趣的精度/时间权衡。