JOURNAL ARTICLE

Empirical Assessment of Ultrasound Model Based Reconstructive Elasticity Imaging

Mashsa Abassi

Year: 2022 Journal:   Journal of Biomedical and Sustainable Healthcare Applications Pages: 113-123

Abstract

In order to rebuild the spatial distribution of Young's modulus, Elasticity Imaging (EI) employs state-of-the-art imaging technology to quantify the displacement of tissues in response to mechanical stimulation. In this paper, we provide a method for ultrasonic EI that makes use of the Model-Based Reconstruction (MBR) approach to Young's modulus reconstruction. Since the object being imaged has an unusual shape, only the longitudinal element of the strain matrix is employed. The technique is particularly successful in its numerical implementation since it uses an analytic solution to the Elasticity Reconstruction (ER) problem. The categorization of liver hemangiomas and the staging of Deep Venous Thrombosis (DVT) are two potential clinical applications of the model-based approach. In sum, these researches show that model-based prosthetic EI may be useful provided both the item's shape and its neighboring cells are understood, and when specific assertions about the pathologies could be established.

Keywords:
Elasticity (physics) Categorization Iterative reconstruction Elastography Computer science Ultrasonic imaging Young's modulus Ultrasound Artificial intelligence Radiology Medicine Materials science

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2
Cited By
0.39
FWCI (Field Weighted Citation Impact)
18
Refs
0.58
Citation Normalized Percentile
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Citation History

Topics

Ultrasound Imaging and Elastography
Health Sciences →  Medicine →  Radiology, Nuclear Medicine and Imaging
Photoacoustic and Ultrasonic Imaging
Physical Sciences →  Engineering →  Biomedical Engineering
Ultrasound and Hyperthermia Applications
Physical Sciences →  Engineering →  Biomedical Engineering

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