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Surface size, curvature analysis, and assessment of knee joint incongruity with MRI in vivo
Author(s) -
Hohe Jan,
Ateshian Gerard,
Reiser Maximilian,
Englmeier KarlHans,
Eckstein Felix
Publication year - 2002
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.10097
Subject(s) - reproducibility , joint (building) , curvature , knee joint , mathematics , surface (topology) , mean curvature , osteoarthritis , principal curvature , gaussian curvature , orthodontics , artificial intelligence , medicine , computer science , geometry , statistics , pathology , surgery , structural engineering , alternative medicine , engineering
Abstract The purpose of this study was to develop an MR‐based technique for quantitative analysis of joint surface size, surface curvature, and joint incongruity and to assess its reproducibility under in vivo imaging conditions. The surface areas were determined after 3D reconstruction of the joint by triangulation and the incongruity by Gaussian curvature analysis. The precision was tested by analyzing four replicated MRI datasets of human knees in 14 individuals. The algorithms were shown to produce accurate data in geometric test objects. The interscan precision was <4% (CV%) for surface area, 2.9–5.7 m −1 (SD) for the mean principal curvature, and 4.1–7.4 m −1 for congruence indices. Incongruity was highest in the femoropatellar joint (79.7 m −1 ) and lowest in the medial femorotibial joint (28.6 m −1 ). This technique will permit identification of the specific role of surface size, curvature, and incongruity as potential risk factors for osteoarthritis. Magn Reson Med 47:554–561, 2002. © 2002 Wiley‐Liss, Inc.