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Spatial analysis of magnetic resonance and relaxation times improves classification between subjects with and without osteoarthritis
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10.1118/1.3187228
/content/aapm/journal/medphys/36/9/10.1118/1.3187228
http://aip.metastore.ingenta.com/content/aapm/journal/medphys/36/9/10.1118/1.3187228

Figures

Image of FIG. 1.
FIG. 1.

First TSL image of a -mapping acquisition before and after image registration to the high-spatial resolution SPGR scan with fat suppression. The same ROI representing the medial femoral compartment has been overlaid on both images demonstrating the improvement in ROI alignment after image registration.

Image of FIG. 2.
FIG. 2.

Sixteen cartilage compartments were analyzed in this study. (a) Patello-femoral compartment resulting from the merging of two compartments: Trochlea and patella. (b) Lateral compartment composed of the lateral femur and lateral tibia compartment. (c) Medial compartment composed of the medial femur and medial tibia compartment. Magenta and blue regions in the lateral and medial femur compartments represent the weight-bearing and non-weight-bearing femoral compartments, respectively. Regions of interest are overlaid on high-spatial resolution SPGR scans with fat suppression.

Image of FIG. 3.
FIG. 3.

Laminar analysis in this work was performed by dividing the cartilage into two layers. This figure shows a medial femoral compartment mask representing in magenta and blue the deep and superficial layers, respectively.

Image of FIG. 4.
FIG. 4.

maps of knee cartilage of a healthy control and a subject with mild OA.

Image of FIG. 5.
FIG. 5.

maps of knee cartilage of a healthy control and a subject with mild OA.

Tables

Generic image for table
TABLE I.

AUCs of the ROC analysis of mean and values to discriminate between subjects with and without knee OA (boldface indicates ).

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TABLE II.

Discrimination between subjects with and without knee OA based on AUC of the ROC analysis of contrast textural features of GLCM of and . significant subject discrimination based on ROC analysis. subject discrimination based on ROC analysis. subject discrimination based on ROC analysis. subject discrimination based on ROC analysis and . , , , and .

Generic image for table
TABLE III.

Discrimination between subjects with and without knee OA based on AUC of the ROC analysis of orderliness textural features of GLCM of and . significant subject discrimination based on ROC analysis. subject discrimination based on ROC analysis. subject discrimination based on ROC analysis. subject discrimination based on ROC analysis and . , , , and .

Generic image for table
TABLE IV.

Discrimination between subjects with and without knee OA based on AUC of the ROC analysis of stats textural features of GLCM of and . significant subject discrimination based on ROC analysis. subject discrimination based on ROC analysis. subject discrimination based on ROC analysis. subject discrimination based on ROC analysis and . , , , and .

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/content/aapm/journal/medphys/36/9/10.1118/1.3187228
2009-08-12
2014-04-17
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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Spatial analysis of magnetic resonance T1ρ and T2 relaxation times improves classification between subjects with and without osteoarthritis
http://aip.metastore.ingenta.com/content/aapm/journal/medphys/36/9/10.1118/1.3187228
10.1118/1.3187228
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