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A Uterine Motion Classification in MRI Data for Female Infertility

Author(s):

Kentaro Mori*, Yoshimitsu Tokunaga, Tetsurou Sakumoto, Akira Nakashima, Isamu Komesu and Yutaka Hata   Pages 1 - 11 ( 11 )

Abstract:


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. 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.

Keywords:

MRI, infertility, uterine peristalsis, motion analysis, simulation.

Affiliation:

Graduate School of Simulation Studies, University of Hyogo, Kobe, SORA no MORI CLINIC, Shimajiri, SORA no MORI CLINIC, Shimajiri, SORA no MORI CLINIC, Shimajiri, SORA no MORI CLINIC, Shimajiri, Graduate School of Simulation Studies, University of Hyogo, Kobe



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