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Current Medical Imaging

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ISSN (Print): 1573-4056
ISSN (Online): 1875-6603

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Research Article

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

Volume 16, Issue 5, 2020

Page: [479 - 490] Pages: 12

DOI: 10.2174/1573405614666180917123654

Price: $65

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.

Graphical Abstract

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