Heudorfer L, Hohe J, Faber S, Englmeier K H, Reiser M, Eckstein F
Forschungsgruppe Muskuloskelettales System, Anatomische Anstalt München.
Biomed Tech (Berl). 2000 Nov;45(11):304-10. doi: 10.1515/bmte.2000.45.11.304.
The aim of this study was to analyse the precision of three-dimensional joint surface and cartilage thickness measurements in the knee, using a fast, high-resolution water-excitation sequence and a semiautomated segmentation algorithm. The knee joint of 8 healthy volunteers, aged 22 to 29 years, were examined at a resolution of 1.5 mm x 0.31 mm x 0.31 mm, with four sagittal data sets being acquired after repositioning the joint. After semiautomated segmentation with a B-spline Snake algorithm and 3D reconstruction of the patellar, femoral and tibial cartilages, the joint surface areas (triangulation), cartilage volume, and mean and maximum thickness (Euclidean distance transformation) were analysed, independently of the orientation of the sections. The precision (CV%) for the surface areas was 2.1 to 6.6%. The mean cartilage thickness and cartilage volume showed coefficients of 1.9 to 3.5% (except for the femoral condyles), the value for the medial femoral condyle being 9.1%, and for the lateral condyle 6.5%. For maximum thickness, coefficients of between 2.6 and 5.9% were found. In the present study we investigate for the first time the precision of MRI-based joint surface area measurements in the knee, and of cartilage thickness analyses in the femur. Using a selective water-excitation sequence, the acquisition time can be reduced by more than 50%. The poorer precision in the femoral condyles can be attributed to partial volume effects that occur at the edges of the joint surfaces with a sagittal image protocol. Since MRI is non-invasive, it is highly suitable for examination of healthy subjects (generation of individual finite element models, analysis of functional adaptation to mechanical stimulation, measurement of cartilage deformation in vivo) and as a diagnostic tool for follow-up, indication for therapy, and objective evaluation of new therapeutic agents in osteoarthritis.
本研究的目的是使用快速、高分辨率水激发序列和半自动分割算法,分析膝关节三维关节表面和软骨厚度测量的精度。对8名年龄在22至29岁之间的健康志愿者的膝关节进行了检查,分辨率为1.5毫米×0.31毫米×0.31毫米,在重新定位关节后采集了四个矢状数据集。使用B样条蛇形算法进行半自动分割并对髌、股和胫骨软骨进行三维重建后,分析了关节表面积(三角测量法)、软骨体积以及平均和最大厚度(欧几里得距离变换),且与切片方向无关。表面积的精度(CV%)为2.1%至6.6%。平均软骨厚度和软骨体积的系数为1.9%至3.5%(股骨髁除外),内侧股骨髁的值为9.1%,外侧髁为6.5%。最大厚度的系数在2.6%至5.9%之间。在本研究中,我们首次研究了基于MRI的膝关节关节表面积测量以及股骨软骨厚度分析的精度。使用选择性水激发序列,采集时间可减少50%以上。股骨髁精度较差可归因于矢状位图像方案在关节表面边缘出现的部分容积效应。由于MRI是非侵入性的,它非常适合用于健康受试者的检查(生成个体有限元模型、分析对机械刺激的功能适应性、测量体内软骨变形),并作为骨关节炎随访、治疗指征和新治疗药物客观评估的诊断工具。