Precision of MRI-based joint-surface and cartilage-thickness analyses using a fast water-excitation sequence and a semiautomated segmentation algorithm
L. Heudorfer et al., Precision of MRI-based joint-surface and cartilage-thickness analyses using a fast water-excitation sequence and a semiautomated segmentation algorithm, BIOMED TECH, 45(11), 2000, pp. 304-310
The aim of this study was to analyse the precision of three-dimensional joi
nt 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, wer
e examined at a resolution of 1.5 mm x 0.31 mm x 0.31 mm, with four sagitta
l data sets being acquired after repositioning the joint. After semiautomat
ed segmentation with a B-spline Snake algorithm and 3D reconstruction of th
e patellar, femoral and tibial cartilages, the joint surface areas (triangu
lation), cartilage volume, and mean and maximum thickness (Euclidean distan
ce transformation) were analysed, independently of the orientation of the s
ections. The precision (CV%) for the surface areas was 2.1 to 6.6%. The mea
n cartilage thickness and cartilage volume showed coefficients of 1.9 to 3.
5% (except for the femoral condyles), the value for the medial femoral cond
yle being 9.1%, and for the lateral condyle 6.5%. For maximum thickness, co
efficients of between 2.6 and 5.9% were found. In the present study we inve
stigate for the first time the precision of MRI-based joint surface area me
asurements in the knee, and of cartilage thickness analyses in the femur. U
sing a selective water-excitation sequence, the acquisition time can be red
uced 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 s
urfaces with a sagittal image protocol. Since MRI is non-invasive, it is hi
ghly suitable for examination of healthy subjects (generation of individual
finite element models, analysis of functional adaptation to mechanical sti
mulation, measurement of cartilage deformation in vivo) and as a diagnostic
tool for follow-up, indication for therapy, and objective evaluation of ne
w therapeutic agents in osteoarthritis.