Image reconstruction of upper limb bone fractures using electrical impedance tomography on python framework

Image reconstruction of upper limb bone fractures using electrical impedance tomography on python framework

vital:149039, valet-20221106-143426 Description Minor bone fractures could occur due to traumatic incidents such as injuries, vehicle accidents, and falls. The commonly used devices to diagnose for bone fracture are X-ray, Computerized Tomography (CT)-Scan, Positron Emission Tomography (PET)-...

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Main Author: A. Haris, Abdul Salam
Format: Thesis
Language:English
Published: 2022
Subjects:
Q Science (General)
Online Access:http://eprints.utm.my/id/eprint/101930/1/AbdulSalamAHarisMSBME2022.pdf.pdf
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spelling my-utm-ep.1019302023-07-22T04:03:09Z Image reconstruction of upper limb bone fractures using electrical impedance tomography on python framework 2022 A. Haris, Abdul Salam Q Science (General) vital:149039, valet-20221106-143426 Description Minor bone fractures could occur due to traumatic incidents such as injuries, vehicle accidents, and falls. The commonly used devices to diagnose for bone fracture are X-ray, Computerized Tomography (CT)-Scan, Positron Emission Tomography (PET)-Scan, and Magnetic Resonance Imaging (MRI). For a series of post diagnosis of bone fracture, it can be health threatening to expose the patient to ionization radiation repeatedly. This research proposes to utilize Electrical Impedance Tomography (EIT) as an invasive modality to monitor the recovery of bone fracture. The aim is to develop EIT circuit to measure the electrical impedance on the phantom model of the upper limb with fractured bones using saline solution and 3D printed bones, the phantom model is reconstructed in 2D images on each cross-section layer using pyEIT and analyze the performance of the reconstructed model of fractured bone. This initiative begins with the development of the EIT circuit system, which consist of sinusoidal waveform generator 100 kHz to 10 MHz frequency range, 32-channel multiplexer unit, instrumentation amplifier with slew rate 35 V/µs, bandpass filter range of frequency from 10 kHz to 4 MHz, Root Mean Square (RMS) to Direct Current (DC) converter, 24-bit analog-to-digital converter, flexible Printed Circuit Board (PCB) 32 electrodes per layer, power supply and microcontroller. The EIT circuit is used to acquire voltage measurement using neighboring and opposite data collection techniques from the phantom tank which consist of saline solution (0.9% NaCl) and was tested on 3D printed Acrylonitrile Butadiene Styrene (ABS) bone and lamb bone. The EIT image of the phantom was reconstructed using pyEIT in three-layers slices on 3D plane. Then, the images were analyzed its performance using root mean square error (RMSE) and correlation coefficient. The RMSE value of the reconstructed images at the frequency of 400 kHz was 0.2785 ± 0.01. From the correlation coefficient between the ABS bone and lamb bone, there are significant similarity in terms of impedance between both materials with Pearson correlation with minimum values of 0.636. It would be beneficial to use the ABS material to simulate the different shape of bone fracture to be reconstructed in EIT system. The fractures are observable on several images. In addition, the depth of the bone is can also be distinguished. 2022 Thesis http://eprints.utm.my/id/eprint/101930/ http://eprints.utm.my/id/eprint/101930/1/AbdulSalamAHarisMSBME2022.pdf.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:149039 masters Universiti Teknologi Malaysia Faculty of Engineering - School of Biomedical Engineering & Health Sciences
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic Q Science (General)
spellingShingle Q Science (General)
A. Haris, Abdul Salam
Image reconstruction of upper limb bone fractures using electrical impedance tomography on python framework
description vital:149039, valet-20221106-143426 Description Minor bone fractures could occur due to traumatic incidents such as injuries, vehicle accidents, and falls. The commonly used devices to diagnose for bone fracture are X-ray, Computerized Tomography (CT)-Scan, Positron Emission Tomography (PET)-Scan, and Magnetic Resonance Imaging (MRI). For a series of post diagnosis of bone fracture, it can be health threatening to expose the patient to ionization radiation repeatedly. This research proposes to utilize Electrical Impedance Tomography (EIT) as an invasive modality to monitor the recovery of bone fracture. The aim is to develop EIT circuit to measure the electrical impedance on the phantom model of the upper limb with fractured bones using saline solution and 3D printed bones, the phantom model is reconstructed in 2D images on each cross-section layer using pyEIT and analyze the performance of the reconstructed model of fractured bone. This initiative begins with the development of the EIT circuit system, which consist of sinusoidal waveform generator 100 kHz to 10 MHz frequency range, 32-channel multiplexer unit, instrumentation amplifier with slew rate 35 V/µs, bandpass filter range of frequency from 10 kHz to 4 MHz, Root Mean Square (RMS) to Direct Current (DC) converter, 24-bit analog-to-digital converter, flexible Printed Circuit Board (PCB) 32 electrodes per layer, power supply and microcontroller. The EIT circuit is used to acquire voltage measurement using neighboring and opposite data collection techniques from the phantom tank which consist of saline solution (0.9% NaCl) and was tested on 3D printed Acrylonitrile Butadiene Styrene (ABS) bone and lamb bone. The EIT image of the phantom was reconstructed using pyEIT in three-layers slices on 3D plane. Then, the images were analyzed its performance using root mean square error (RMSE) and correlation coefficient. The RMSE value of the reconstructed images at the frequency of 400 kHz was 0.2785 ± 0.01. From the correlation coefficient between the ABS bone and lamb bone, there are significant similarity in terms of impedance between both materials with Pearson correlation with minimum values of 0.636. It would be beneficial to use the ABS material to simulate the different shape of bone fracture to be reconstructed in EIT system. The fractures are observable on several images. In addition, the depth of the bone is can also be distinguished.
format Thesis
qualification_level Master's degree
author A. Haris, Abdul Salam
author_facet A. Haris, Abdul Salam
author_sort A. Haris, Abdul Salam
title Image reconstruction of upper limb bone fractures using electrical impedance tomography on python framework
title_short Image reconstruction of upper limb bone fractures using electrical impedance tomography on python framework
title_full Image reconstruction of upper limb bone fractures using electrical impedance tomography on python framework
title_fullStr Image reconstruction of upper limb bone fractures using electrical impedance tomography on python framework
title_full_unstemmed Image reconstruction of upper limb bone fractures using electrical impedance tomography on python framework
title_sort image reconstruction of upper limb bone fractures using electrical impedance tomography on python framework
granting_institution Universiti Teknologi Malaysia
granting_department Faculty of Engineering - School of Biomedical Engineering & Health Sciences
publishDate 2022
url http://eprints.utm.my/id/eprint/101930/1/AbdulSalamAHarisMSBME2022.pdf.pdf
_version_ 1776100805860917248

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