A Uterine Motion Classification in MRI Data for Female Infertility
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Kentaro Mori1, Yoshimitsu Tokunaga2, Tetsurou Sakumoto2
1Graduate School of Simulation Studies, University of Hyogo, Kobe, Japan.
Aims:
The purpose of this study was to classify complicated uterine movements obtained by MRI scanner and investigate the relationship between uterine peristalsis and female infertility.
Methods:
Uterine movements are classified into six fundamental movements by their motility form and directions. Computer simulation of the uterine movements is performed.
Results:
Comparison results between the real MRI images and the simulated images showed that any five in our dataset uterine movement was successfully reproduced by a combination of these six fundamental movements. The point and surface vibration model appropriately mimicked the movements with the propagation velocity of 0.68 [mm/sec].
Conclusion:
By analyzing six fundamental movements using data from 26 MRI scans, it was found that two fundamental movements were identified as candidate factors for female infertility.
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