Computer-aided, method for quantification of cartilage thickness and volume changes using MRL: Validation study using a synthetic model

被引:110
作者
Kauffmann, C
Gravel, P
Godbout, B
Gravel, A
Beaudoin, G
Raynauld, JP
Martel-Pelletier, J
Pelletier, JP
de Guise, JA
机构
[1] ArthroVis, Montreal, PQ H2K 1B6, Canada
[2] Ecole Technol Super, Lab Rech Imagerie & Orthopedie, Montreal, PQ H3C 1K3, Canada
[3] Ecole Technol Super, Dept Genie Prod Automatisee, Montreal, PQ H3C 1K3, Canada
[4] Univ Montreal, Ctr Hosp, Montreal, PQ H2L 4M1, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
articular cartilage; cartilage thickness; cartilage volume; computer-assisted methods; MRI;
D O I
10.1109/TBME.2003.814539
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The primary objective of this study was to develop a computer-aided method for the quantification of three-dimensional (3-D) cartilage changes over time in knees with osteoarthritis (OA). We introduced a local coordinate system (LCS) for the femoral and tibial cartilage boundaries that provides a standardized representation of cartilage geometry, thickness, and volume. The LCS can be registered in different data sets from the same patient so that results can be directly compared. Cartilage boundaries are segmented from 3-D magnetic resonance (MR) slices with a semi-automated method and transformed into offset-maps, defined by the LCS. Volumes and thickness are computed from these offset maps. Further anatomical labeling allows focal volumes to be evaluated in predefined subregions. The accuracy of the automated behavior of the method was assessed, without any human intervention, using realistic, synthetic 3-D MR images of a human knee. The error in thickness evaluation is lower than 0.12 mm for the tibia and femur. Cartilage volumes in anatomical subregions show a coefficient of variation ranging from 0.11% to 0.32%. This method improves noninvasive 3-D analysis of cartilage thickness and volume and is well suited for in vivo follow-up clinical studies of OA knees.
引用
收藏
页码:978 / 988
页数:11
相关论文
共 18 条
[1]  
Andriacchi TP, 2000, J REHABIL RES DEV, V37, P163
[2]   ACCURACY AND PRECISION OF JOINT SPACE WIDTH MEASUREMENTS IN STANDARD AND MACRORADIOGRAPHS OF OSTEOARTHRITIC KNEES [J].
BUCKLANDWRIGHT, JC ;
MACFARLANE, DG ;
WILLIAMS, SA ;
WARD, RJ .
ANNALS OF THE RHEUMATIC DISEASES, 1995, 54 (11) :872-880
[3]   THE LAPLACIAN PYRAMID AS A COMPACT IMAGE CODE [J].
BURT, PJ ;
ADELSON, EH .
IEEE TRANSACTIONS ON COMMUNICATIONS, 1983, 31 (04) :532-540
[4]   Knee cartilage topography, thickness, and contact areas from MRI: in-vitro calibration and in-vivo measurements [J].
Cohen, ZA ;
McCarthy, DM ;
Kwak, SD ;
Legrand, P ;
Fogarasi, F ;
Ciaccio, EJ ;
Ateshian, GA .
OSTEOARTHRITIS AND CARTILAGE, 1999, 7 (01) :95-109
[5]  
Eckstein F, 1998, CLIN ORTHOP RELAT R, P137
[6]  
GODBOUT B, 1998, VISION INTERFACE VI9, P350
[7]   THE RICIAN DISTRIBUTION OF NOISY MRI DATA [J].
GUDBJARTSSON, H ;
PATZ, S .
MAGNETIC RESONANCE IN MEDICINE, 1995, 34 (06) :910-914
[8]   Measurement of localized cartilage volume and thickness of human knee joints by computer analysis of three-dimensional magnetic resonance images [J].
Kshirsagar, AA ;
Watson, PJ ;
Tyler, JA ;
Hall, LD .
INVESTIGATIVE RADIOLOGY, 1998, 33 (05) :289-299
[9]   MRI simulation-based evaluation of image-processing and classification methods [J].
Kwan, RKS ;
Evans, AC ;
Pike, GB .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 1999, 18 (11) :1085-1097
[10]   A non-invasive technique for 3-dimensional assessment of articular cartilage thickness based on MRI .1. Development of a computational method [J].
Losch, A ;
Eckstein, F ;
Haubner, M ;
Englmeier, KH .
MAGNETIC RESONANCE IMAGING, 1997, 15 (07) :795-804