Intra- and inter-observer reproducibility of volume measurement of knee cartilage segmented from the OAI MR image set using a novel semi-automated segmentation method

被引:38
作者
Bae, K. T. [1 ]
Shim, H.
Tao, C.
Chang, S.
Wang, J. H.
Boudreau, R. [2 ]
Kwoh, C. K. [3 ,4 ]
机构
[1] Univ Pittsburgh, Dept Radiol, Sch Med, Pittsburgh, PA 15213 USA
[2] Univ Pittsburgh, Dept Epidemiol, Pittsburgh, PA 15213 USA
[3] Univ Pittsburgh, Div Clin Immunol & Rheumatol, Pittsburgh, PA 15213 USA
[4] Pittsburgh VA Healthcare Syst, Rheumatol Sect, Pittsburgh, PA USA
关键词
Knee; MR image; Cartilage segmentation; Volume measurement; Reproducibility; ARTICULAR-CARTILAGE; THICKNESS MEASUREMENTS; OSTEOARTHRITIS; QUANTIFICATION; ACCURACY; BONE;
D O I
10.1016/j.joca.2009.06.003
中图分类号
R826.8 [整形外科学]; R782.2 [口腔颌面部整形外科学]; R726.2 [小儿整形外科学]; R62 [整形外科学(修复外科学)];
学科分类号
100224 [整形外科学];
摘要
Objective: We developed a semi-automated method based on a graph-cuts algorithm for segmentation and volumetric measurements of the cartilage from high-resolution knee magnetic resonance (MR) images from the Osteoarthritis Initiative (OAI) database and assessed the intra- and inter-observer reproducibility of measurements obtained via this method. Design: MR image sets from 20 subjects of varying Kellgren-Lawrence (KL) grades (from 0 to IV) on fixed flexion knee radiographs were selected from the baseline double-echo and steady-state (DESS) knee MR images in the OAI database (0.B.1 Imaging Data set). Two trained radiologists independently performed the segmentation of knee cartilage twice using the semi-automated method. The volumes of segmented cartilage were computed and compared. The intra- and inter-observer reproducibility were determined by means of the coefficient of variation (CV%) of repeated cartilage segmented volume measurements. The subjects were also divided into the low- (0, I or II) and high-KL (III or IV) groups. The differences in cartilage volume measurements and CV% within and between the observers were tested with t tests. Results: The mean (+/- SD) intra-observer CV% for the 20 cases was 1.29 (+/- 1.05)% for observer 1 and 1.67 (+/- 1.14)% for observer 2, while the mean (+/- SD) inter-observer CV% was 1.31 (+/- 1.26)% for session 1 and 1.79 (+/- 1.72)% for session 2. There was no significant difference between the two intra-observer CV%'s (P = 0.272) and between the two inter-observer CV%'s (P = 0.353). The mean intra-observer CV% of the low-KL group was significantly smaller than that for the high-KL group for observer 1 (0.83 vs 1.86%: P = 0.025). The segmentation processing times used by the two observers were significantly different (observer 1 vs 2): (mean 49 +/- 12 vs 33 +/- 6 min) for session 1 and (49 +/- 8 vs 32 +/- 8 min) for session 2. Conclusion: The semi-automated graph-cuts method allowed us to segment and measure cartilage from high-resolution 3 T MR images of the knee with high intra- and inter-observer reproducibility in subjects with varying severity of CA. (C) 2009 Osteoarthritis Research Society International. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:1589 / 1597
页数:9
相关论文
共 28 条
[1]
[Anonymous], 2001, Interactive Graph Cuts, DOI DOI 10.1109/ICCV.2001.937505
[2]
Blumenkrantz G, 2007, EUR CELLS MATER, V13, P75
[3]
Markov random fields with efficient approximations [J].
Boykov, Y ;
Veksler, O ;
Zabih, R .
1998 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, PROCEEDINGS, 1998, :648-655
[4]
Graph cuts and efficient N-D image segmentation [J].
Boykov, Yuri ;
Funka-Lea, Gareth .
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2006, 70 (02) :109-131
[5]
Burgkart R, 2001, ARTHRITIS RHEUM, V44, P2072, DOI 10.1002/1529-0131(200109)44:9<2072::AID-ART357>3.0.CO
[6]
2-3
[7]
Reliability of the knee examination in osteoarthritis - Effect of standardization [J].
Cibere, J ;
Bellamy, N ;
Thorne, A ;
Esdaile, JM ;
McGorm, KJ ;
Chalmers, A ;
Huang, S ;
Peloso, P ;
Shojania, K ;
Singer, J ;
Wong, H ;
Kopec, J .
ARTHRITIS AND RHEUMATISM, 2004, 50 (02) :458-468
[8]
Gender differences in knee cartilage volume as measured by magnetic resonance imaging [J].
Cicuttini, FM ;
Forbes, A ;
Morris, K ;
Darling, S ;
Bailey, M ;
Stuckey, S .
OSTEOARTHRITIS AND CARTILAGE, 1999, 7 (03) :265-271
[9]
Novel fast semi-automated software to segment cartilage for knee MR acquisitions [J].
Duryea, J. ;
Neumann, G. ;
Brem, M. H. ;
Koh, W. ;
Noorbakhsh, F. ;
Jackson, R. D. ;
Yu, J. ;
Eaton, C. B. ;
Lang, P. .
OSTEOARTHRITIS AND CARTILAGE, 2007, 15 (05) :487-492
[10]
Eckstein F, 1998, CLIN ORTHOP RELAT R, P137