Osteoporosis Diagnosis Based on Ultrasound Radio Frequency Signal via Multi-channel Convolutional Neural Network

Zhiwei Chen, Wenqiang Luo, Qi Zhang, Baiying Lei, Tianfu Wang, Zhong Chen, Yuan Fu, Peidong Guo, Changchuan Li, Teng Ma, Yue Ding, Jiang Liu

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

Osteoporosis is a metabolic osteopathy syndrome, and the incidence of osteoporosis increases significantly with age. Currently, bone quantitative ultrasound (QUS) has been considered as a potential method for screening and diagnosing osteoporosis. However, its diagnostic accuracy is quite low. By contrast, deep learning based methods have shown the great power for extracting the most discriminative features from complex data. To improve the osteoporosis diagnostic accuracy and take advantages of QUS, we devise a deep learning method based on ultrasound radio frequency (RF) signal. Specifically, we construct a multi-channel convolutional neural network (MCNN) combined with a sliding window scheme, which can enhance the number of data as well. By using speed of sound (SOS), the quantitative experimental results of our preliminary study indicate that our proposed osteoporosis diagnosis method outperforms the conventional ultrasound methods, which may assist the clinician for osteoporosis screening.

Original languageEnglish
Title of host publication43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages832-835
Number of pages4
ISBN (Electronic)9781728111797
DOIs
Publication statusPublished - 2021
Externally publishedYes
Event43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021 - Virtual, Online, Mexico
Duration: 1 Nov 20215 Nov 2021

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)1557-170X

Conference

Conference43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021
Country/TerritoryMexico
CityVirtual, Online
Period1/11/215/11/21

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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