Non-Invasive Assessment of Hepatic Fibrosis by Elastic Measurement of Liver Using Magnetic Resonance Tagging Images
Abstract
:1. Introduction
2. Experimental Materials
3. Methods
3.1. Calculation of Bending Energy Based on Thin-Plate Spline (TPS) Method in the Spatial Domain
3.2. Calculation of the Difference in the Power Spectral Values of the Tags by FFT in the Frequency Domain
3.3. Classification Method
4. Results and Discussion
5. Conclusions
Acknowledgments
Author Contributions
Conflicts of Interest
References
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Average DPS Values | Normal Liver | Abnormal Liver | Difference between Two Groups | |
---|---|---|---|---|
Type of MR Tagging Images | ||||
16 (mm), sagittal | 68.7 | 62.8 | 5.9 | |
20 (mm), sagittal | 58.2 | 55.4 | 2.8 | |
16 (mm), coronal | 54.2 | 69.2 | 5.0 | |
20 (mm), coronal | 47.3 | 60.7 | 3.4 |
Gold Standard | Normal Liver | Abnormal Liver | |
---|---|---|---|
SOM | |||
Normal liver | 16 | 0 | |
Abnormal liver | 1 | 17 |
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Zhang, X.; Zhou, X.; Hara, T.; Fujita, H. Non-Invasive Assessment of Hepatic Fibrosis by Elastic Measurement of Liver Using Magnetic Resonance Tagging Images. Appl. Sci. 2018, 8, 437. https://doi.org/10.3390/app8030437
Zhang X, Zhou X, Hara T, Fujita H. Non-Invasive Assessment of Hepatic Fibrosis by Elastic Measurement of Liver Using Magnetic Resonance Tagging Images. Applied Sciences. 2018; 8(3):437. https://doi.org/10.3390/app8030437
Chicago/Turabian StyleZhang, Xuejun, Xiangrong Zhou, Takeshi Hara, and Hiroshi Fujita. 2018. "Non-Invasive Assessment of Hepatic Fibrosis by Elastic Measurement of Liver Using Magnetic Resonance Tagging Images" Applied Sciences 8, no. 3: 437. https://doi.org/10.3390/app8030437