Research Article
Influence of Acquisition Time on MR Image Quality Estimated with Nonparametric Measures Based on Texture Features
Table 1
Number of correlated textures for the imaging sequences obtained with different acquisition times.
| | | GRAPPA1 vs. GRAPPA2 | GRAPPA1 vs. GRAPPA3 | GRAPPA1 vs. GRAPPA4 | Feature values/acquisition times (F/A) | Best performing textural features |
| | Correlation coefficient/tissue | >0.8 | >0.9 | >0.8 | >0.9 | >0.8 | >0.9 | >0.9 | | | Bones of the spine (8 patients) | 212 | 166 | 185 | 141 | 60 | 49 | 9 | GLCM, RLM, Haar wavelets | | Extensor muscles (8 patients) | 1 | 0 | 1 | 0 | 0 | 0 | 71 | GLCM, FOF | | Femur (7 patients) | 14 | 8 | 9 | 5 | 6 | 4 | 114 | GLCM, RLM, Haar wavelets | | Humerus shaft (9 patients) | 1 | 1 | 9 | 5 | 0 | 0 | 39 | FOF, GLCM | | Humerus epiphysis (9 patients) | 0 | 0 | 6 | 1 | 0 | 0 | 3 | FOF, GLCM | | Humerus metaphysis (9 patients) | 0 | 0 | 10 | 2 | 0 | 0 | 18 | RLM, Haar wavelets | | Supraspinatus muscle (9 patients) | 0 | 0 | 12 | 0 | 1 | 0 | 42 | GLCM, Haar wavelets | | Supraspinatus tendon (9 patients) | 0 | 0 | 3 | 0 | 0 | 0 | 108 | GLCM |
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Results are listed for the different scanned tissues. F/A indicates the features acquired and the correlation with different acquisition times.
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