Signal Processing Techniques Applied to Axial Transmission Ultrasound.

Tho N H T Tran, Kailiang Xu, Lawrence H Le, Dean Ta

Abstract read

In one paragraph

Article in Advances in experimental medicine and biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Tho N H T TranInstitute of Biomedical Engineering and Technology, Academy for Engineering and Technology, Fudan University, Shanghai, China.

Kailiang XuCenter for Biomedical Engineering, School of Information Science and Technology, Fudan University, Shanghai, China.

Lawrence H LeDepartment of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, AB, Canada.

Dean TaCenter for Biomedical Engineering, School of Information Science and Technology, Fudan University, Shanghai, China. tda@fudan.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A new application of ultrasonography has been emerging in the bone quantitative ultrasound arena in the last twenty years: cortical bone characterization using axial transmission ultrasound (ATU). Although challenged by the complicated cortical tissue-ultrasonic wave interaction, ATU has proved to have promising potential to be a valuable diagnostic tool in the assessment of cortical bones. This chapter reviews the main landmarks of axial transmission signal processing in the past decade to provide a guide to the diversity of available techniques. In order to increase the readability of the chapter, the signal processing methods are categorized based on the experimental settings: single and multiple transmitter-receiver configuration. The review considers the key stages required for the analysis of bone guided-wave ultrasound data namely dispersion energy imaging, modal filtering, dispersion curve inversion, and measurement automation with integrated artificial intelligence concepts. Besides discussing the recent signal processing advances in the field of bone assessment by axial transmission, this communication offers developments that might be anticipated in the near future.

Indexed as

Artificial IntelligenceSignal Processing, Computer-AssistedBone and BonesCortical BoneUltrasonographyAxial transmissionCortical boneDispersionGuided wavesQuantitative ultrasoundSignal processing

Identifiers

PMID35508872

DOI10.1007/978-3-030-91979-5_5

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.