Automatic mouse embryo brain ventricle segmentation, gestation stage estimation, and mutant detection from 3D 40-MHz ultrasound data

Jen Wei Kuo, Yao Wang, Orlando Aristizabal, Daniel H. Turnbull, Jeffrey Ketterling, Jonathan Mamou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Volumetric analysis of brain ventricles (BVs) is important to the study of normal and abnormal development of the central nervous system of mouse embryos. High-frequency ultrasound (HFU) is frequently used to image embryos because it is real-time, non-invasive, and provides fine-resolution images. However, manual segmentation of BVs from 3D HFU volumes remains challenging and time consuming. Therefore, automatic segmentation, staging, and mutant detection algorithms are needed for studies with large embryo counts. An accurate and automatic method to segment BVs from high-frequency ultrasound images has been stated in a prior work. This paper presents novel algorithms for deriving the Y-skeleton of a BV region and decomposing the BV region into five components (fourth ventricle, aqueduct, third ventricle and two lateral ventricles). Embryo staging and mutant detection are accomplished by analyzing the volume profile along the BV skeleton and the volumes of the five BV components.

Original languageEnglish (US)
Title of host publication2015 IEEE International Ultrasonics Symposium, IUS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479981823
DOIs
StatePublished - Nov 13 2015
EventIEEE International Ultrasonics Symposium, IUS 2015 - Taipei, Taiwan, Province of China
Duration: Oct 21 2015Oct 24 2015

Other

OtherIEEE International Ultrasonics Symposium, IUS 2015
CountryTaiwan, Province of China
CityTaipei
Period10/21/1510/24/15

Fingerprint

embryos
brain
mice
musculoskeletal system
volumetric analysis
central nervous system
image resolution
profiles

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

Cite this

Kuo, J. W., Wang, Y., Aristizabal, O., Turnbull, D. H., Ketterling, J., & Mamou, J. (2015). Automatic mouse embryo brain ventricle segmentation, gestation stage estimation, and mutant detection from 3D 40-MHz ultrasound data. In 2015 IEEE International Ultrasonics Symposium, IUS 2015 [7329585] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ULTSYM.2015.0192

Automatic mouse embryo brain ventricle segmentation, gestation stage estimation, and mutant detection from 3D 40-MHz ultrasound data. / Kuo, Jen Wei; Wang, Yao; Aristizabal, Orlando; Turnbull, Daniel H.; Ketterling, Jeffrey; Mamou, Jonathan.

2015 IEEE International Ultrasonics Symposium, IUS 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7329585.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kuo, JW, Wang, Y, Aristizabal, O, Turnbull, DH, Ketterling, J & Mamou, J 2015, Automatic mouse embryo brain ventricle segmentation, gestation stage estimation, and mutant detection from 3D 40-MHz ultrasound data. in 2015 IEEE International Ultrasonics Symposium, IUS 2015., 7329585, Institute of Electrical and Electronics Engineers Inc., IEEE International Ultrasonics Symposium, IUS 2015, Taipei, Taiwan, Province of China, 10/21/15. https://doi.org/10.1109/ULTSYM.2015.0192
Kuo JW, Wang Y, Aristizabal O, Turnbull DH, Ketterling J, Mamou J. Automatic mouse embryo brain ventricle segmentation, gestation stage estimation, and mutant detection from 3D 40-MHz ultrasound data. In 2015 IEEE International Ultrasonics Symposium, IUS 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7329585 https://doi.org/10.1109/ULTSYM.2015.0192
Kuo, Jen Wei ; Wang, Yao ; Aristizabal, Orlando ; Turnbull, Daniel H. ; Ketterling, Jeffrey ; Mamou, Jonathan. / Automatic mouse embryo brain ventricle segmentation, gestation stage estimation, and mutant detection from 3D 40-MHz ultrasound data. 2015 IEEE International Ultrasonics Symposium, IUS 2015. Institute of Electrical and Electronics Engineers Inc., 2015.
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