Rxivist logo

Automatic Measurement of Inner Ear in Different Mammals1

By Yi Du, Han-dai Qin, Chen Liu, Da Liu, Shuo-long Yuan, Qing-qing Jiang, Jun Yang, Gang Li, Hong-lan Xie, Jian-guo Zhao, Ning Yu, Shi-ming Yang

Posted 02 Oct 2020
bioRxiv DOI: 10.1101/2020.09.30.317941

Objective: The aim of this research is to develop an accurate and automatic measuring method based on the aid of centerline to construct three dimensional models of inner ear in different mammals and to assess the morphological variations. Methods: Three adult healthy mice, three adult guinea pigs, three adult mini pigs and one left temporal bone of human were included in this research. All 18 animal specimens and the human sample were scanned with the use of Micro-CT. After being segmented, three-dimensional models of the inner ear in different mammals were reconstructed using Mimics. A novel method with the use of centerline was established to estimate the properties of 3D models and to calculate the length, volume and angle parameters automatically. Results: Morphological models of inner ears in different mammals have been built, which describe detailed shape of cochlear, vestibule, semicircular canals and common crus. Mean value of lengths and volumes of the cochlear, lateral semicircular canal, superior semicircular canal and posterior semicircular canal, tended to increase with the body size of the mammals, showed the proximity to the human data in mini pig. The angles between the semicircular canal planes showed differences between mammals. The mean values of semicircular canals of mice and mini pigs closely resembled to human data in numerical assessment. Conclusion: The automatic measurement of the inner ear based on centerline builds an effective way to assess lengths, volumes and angles of three-dimensional structures. This study provides a theoretical basis for mechanical analysis of inner ear in different mammals and proves the similarity between mini pig and human. ### Competing Interest Statement The authors have declared no competing interest.

Download data

  • Downloaded 162 times
  • Download rankings, all-time:
    • Site-wide: 150,169
    • In neuroscience: 22,341
  • Year to date:
    • Site-wide: 108,261
  • Since beginning of last month:
    • Site-wide: 101,102

Altmetric data


Downloads over time

Distribution of downloads per paper, site-wide


PanLingua

News