A Uterine Motion Classification in MRI Data for Female Infertility

Author(s): Kentaro Mori*, Yoshimitsu Tokunaga, Tetsurou Sakumoto, Akira Nakashima, Isamu Komesu, Yutaka Hata.

Journal Name: Current Medical Imaging
Formerly: Current Medical Imaging Reviews

Volume 16 , Issue 5 , 2020

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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.

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.

Keywords: MRI, infertility, uterine peristalsis, motion analysis, simulation, motility.

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Article Details

VOLUME: 16
ISSUE: 5
Year: 2020
Page: [479 - 490]
Pages: 12
DOI: 10.2174/1573405614666180917123654
Price: $95

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