Sadeghi-Gougheri O, Mokhtari-Dizaji M, Saberi H, Naseri R. A new method in extracting lung wall compressibility using ultrasound image processing: Gradient and block matching algorithms. مجله انجمن علوم صوتی ایران (مهندسی صوتیات سابق) 2024; 11 (2) : 11
URL:
http://joasi.ir/article-1-281-en.html
Abstract: (37 Views)
Along with CT scan, lung ultrasound also plays an important role in lung imaging in disease conditions. The aim of this study is to non-invasively extract parameters related to the compressibility of lung tissue including axial elastic modulus (Young) and shear elastic modulus using sequential ultrasound image processing. B-mode images were recorded by the MyLab™Sigma ultrasound system of esaote company with a frequency of 3-11 MHz and a frame rate of more than 20 frames per second. For imaging, the common 14-area protocol in lung ultrasound was used, but because of the limitation of imaging of the back areas, only 8 anterior and lateral areas of the lung were imaged. In this study, according to the dynamic movements of the lung, during three breathing cycles, including three inhalations and exhalations, sequential ultrasound images of the lung wall were recorded. To extract changes in stress-strain, simultaneously with recording respiratory stress, the changes in displacement of the lung wall were also recorded .Gradient and block matching algorithms were used in the MATLAB environment to measure lung wall displacement.
Article number: 11
Type of Study:
Research |
Subject:
Bioacoustics Received: 2023/11/18 | Accepted: 2024/06/4 | Published: 2024/11/22