Automated analysis of hip joint cartilage combining MR T2 and three‐dimensional fast‐spin‐echo images. Issue 1 (30th January 2015)

• Record Type: Journal Article
• Authors: Chandra, Shekhar S.; Surowiec, Rachel; Ho, Charles; Xia, Ying; Engstrom, Craig; Crozier, Stuart; Fripp, Jurgen
• Is Part Of: Magnetic resonance in medicine. Volume 75:Issue 1(2016:Jan.)
• Page Start: 403
• Page End: 413
• Publication Date: 2015-01-30
• Subjects: Hip -- 3D‐SPACE -- T2 mapping -- Active Shape Models -- Graph‐Cuts; Nuclear magnetic resonance -- Periodicals; Electron paramagnetic resonance -- Periodicals; 616.07548
• DOI: 10.1002/mrm.25598
• Languages: English
• ISSNs: 0740-3194

Abstract

Abstract : Purpose: To validate a fully automated scheme to extract biochemical information from the hip joint cartilages using MR T2 mapping images incorporating segmentation of co‐registered three‐dimensional Fast‐Spin‐Echo (3D‐SPACE) images. Methods: Manual analyses of unilateral hip (3 Tesla) MR images of 24 asymptomatic volunteers were used to validate a 3D deformable model method for automated cartilage segmentation of SPACE scans, partitioning of the individual femoral and acetabular cartilage plates into clinically defined sub‐regions and propagating these results to T2 maps to calculate region‐wise T2 value statistics. Analyses were completed on a desktop computer (∼10 min per case). Results: The mean voxel overlap between automated A and manual M segmentations of the cartilage volumes in the (clinically based) SPACE images was 73% ( 100 × 2 | A ∩ M | / [ | A | + | M | ] ) . The automated and manual analyses demonstrated a relative difference error <10% in the median "T2 average signal" for each cartilage plate. The automated and manual analyses showed consistent patterns between significant differences in T2 data across the hip cartilage sub‐regions. Conclusion: The good agreement between the manual and automatic analyses of T2 values indicates the use of structural 3D‐SPACE MR images with the proposed method provides a promising approach for automated quantitative T2 assessment of hip joint cartilages. Magn Reson Med 75:403–413, 2016. © 2015 Wiley Periodicals, Inc.