3.9 Article

Improved accuracy and precision of fat-suppressed isotropic 3D T2 mapping MRI of the knee with dictionary fitting and patch-based denoising

Journal

EUROPEAN RADIOLOGY EXPERIMENTAL
Volume 7, Issue 1, Pages -

Publisher

SPRINGERNATURE
DOI: 10.1186/s41747-023-00339-8

Keywords

Cartilage; Knee joint; Magnetic resonance imaging; Phantoms (imaging)

Ask authors/readers for more resources

In this study, an isotropic three-dimensional (3D) T2 mapping technique was developed for the quantitative assessment of knee cartilage composition with high accuracy and precision. Improved accuracy and precision were demonstrated by using patch-based image denoising and dictionary-based reconstruction for T2 mapping of knee cartilage.
PurposeTo develop an isotropic three-dimensional (3D) T2 mapping technique for the quantitative assessment of the composition of knee cartilage with high accuracy and precision.MethodsA T2-prepared water-selective isotropic 3D gradient-echo pulse sequence was used to generate four images at 3 T. These were used for three T2 map reconstructions: standard images with an analytical T2 fit (AnT2Fit); standard images with a dictionary-based T2 fit (DictT2Fit); and patch-based-denoised images with a dictionary-based T2 fit (DenDictT2Fit). The accuracy of the three techniques was first optimized in a phantom study against spin-echo imaging, after which knee cartilage T2 values and coefficients of variation (CoV) were assessed in ten subjects in order to establish accuracy and precision in vivo. Data given as mean +/- standard deviation.ResultsAfter optimization in the phantom, whole-knee cartilage T2 values of the healthy volunteers were 26.6 +/- 1.6 ms (AnT2Fit), 42.8 +/- 1.8 ms (DictT2Fit, p < 0.001 versus AnT2Fit), and 40.4 +/- 1.7 ms (DenDictT2Fit, p = 0.009 versus DictT2Fit). The whole-knee T2 CoV reduced from 51.5% +/- 5.6% to 30.5 +/- 2.4 and finally to 13.1 +/- 1.3%, respectively (p < 0.001 between all). The DictT2Fit improved the data reconstruction time: 48.7 +/- 11.3 min (AnT2Fit) versus 7.3 +/- 0.7 min (DictT2Fit, p < 0.001). Very small focal lesions were observed in maps generated with DenDictT2Fit.ConclusionsImproved accuracy and precision for isotropic 3D T2 mapping of knee cartilage were demonstrated by using patch-based image denoising and dictionary-based reconstruction.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

3.9
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available