Quantitative Assessment of Image Reconstruction Algorithms in Electrical Impedance Tomography

İbrahim Öz

Makale detayları

Quantitative Assessment of Image Reconstruction Algorithms in Electrical Impedance Tomography

Yazarlar:

İbrahim Öz

Yayıncı:

Kocaeli University

Ana Başlıklar:

Biyomedikal Mühendisliği (Diğer)

Dergi:

Kocaeli Journal of Science and Engineering Vol.8 Issue 1, pp.38-51

Belge Tipi:

Makale

Yayın Tarihi:

5/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001348825

pISSN:

2667-484X

Anahtar kelimeler:

Özet:

 Electrical Impedance Tomography EIT is a noninvasive imaging technique used to estimate the internal conductivity distribution of a region that is either unknown or inaccessible. This is achieved by applying electrical currents to the region and measuring the resulting boundary voltages. The forward problem in EIT is typically solved using the Finite Element Method FEM, and regularization techniques are employed to stabilize the ill-posed inverse problem during image reconstruction. This study evaluated the performance of two widely used image reconstruction algorithms: the delta conductivity method and the Jacobian JAC-based method. Both algorithms were tested on seven phantom images with varying levels of complexity to assess their effectiveness in different scenarios. The average Peak Signal-to-Noise Ratio PSNR and Mean Structural Similarity Index MSSIM were 35.71 dB and 0.93, respectively, indicating high reconstruction quality. However, the complexity of the images, such as intricate textures or multiple inclusions, resulted in reduced reconstruction accuracy. Although, both the delta conductivity and JAC methods proved effective in EIT image reconstruction, the JAC method shows superior performance in more challenging cases.

 Electrical Impedance Tomography EIT is a noninvasive imaging technique used to estimate the internal conductivity distribution of a region that is either unknown or inaccessible. This is achieved by applying electrical currents to the region and measuring the resulting boundary voltages. The forward problem in EIT is typically solved using the Finite Element Method FEM, and regularization techniques are employed to stabilize the ill-posed inverse problem during image reconstruction. This study evaluated the performance of two widely used image reconstruction algorithms: the delta conductivity method and the Jacobian JAC-based method. Both algorithms were tested on seven phantom images with varying levels of complexity to assess their effectiveness in different scenarios. The average Peak Signal-to-Noise Ratio PSNR and Mean Structural Similarity Index MSSIM were 35.71 dB and 0.93, respectively, indicating high reconstruction quality. However, the complexity of the images, such as intricate textures or multiple inclusions, resulted in reduced reconstruction accuracy. Although, both the delta conductivity and JAC methods proved effective in EIT image reconstruction, the JAC method shows superior performance in more challenging cases.

 Electrical Impedance Tomography EIT is a noninvasive imaging technique used to estimate the internal conductivity distribution of a region that is either unknown or inaccessible. This is achieved by applying electrical currents to the region and measuring the resulting boundary voltages. The forward problem in EIT is typically solved using the Finite Element Method FEM, and regularization techniques are employed to stabilize the ill-posed inverse problem during image reconstruction. This study evaluated the performance of two widely used image reconstruction algorithms: the delta conductivity method and the Jacobian JAC-based method. Both algorithms were tested on seven phantom images with varying levels of complexity to assess their effectiveness in different scenarios. The average Peak Signal-to-Noise Ratio PSNR and Mean Structural Similarity Index MSSIM were 35.71 dB and 0.93, respectively, indicating high reconstruction quality. However, the complexity of the images, such as intricate textures or multiple inclusions, resulted in reduced reconstruction accuracy. Although, both the delta conductivity and JAC methods proved effective in EIT image reconstruction, the JAC method shows superior performance in more challenging cases.

 Electrical Impedance Tomography EIT is a noninvasive imaging technique used to estimate the internal conductivity distribution of a region that is either unknown or inaccessible. This is achieved by applying electrical currents to the region and measuring the resulting boundary voltages. The forward problem in EIT is typically solved using the Finite Element Method FEM, and regularization techniques are employed to stabilize the ill-posed inverse problem during image reconstruction. This study evaluated the performance of two widely used image reconstruction algorithms: the delta conductivity method and the Jacobian JAC-based method. Both algorithms were tested on seven phantom images with varying levels of complexity to assess their effectiveness in different scenarios. The average Peak Signal-to-Noise Ratio PSNR and Mean Structural Similarity Index MSSIM were 35.71 dB and 0.93, respectively, indicating high reconstruction quality. However, the complexity of the images, such as intricate textures or multiple inclusions, resulted in reduced reconstruction accuracy. Although, both the delta conductivity and JAC methods proved effective in EIT image reconstruction, the JAC method shows superior performance in more challenging cases.

Makale detayları

Quantitative Assessment of Image Reconstruction Algorithms in Electrical Impedance Tomography

Yazarlar:

İbrahim Öz

Yayıncı:

Kocaeli University

Ana Başlıklar:

Biyomedikal Mühendisliği (Diğer)

Dergi:

Kocaeli Journal of Science and Engineering Vol.8 Issue 1, pp.38-51

Belge Tipi:

Makale

Yayın Tarihi:

5/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001348825

pISSN:

2667-484X

Electrical Impedance Tomography (EIT)

image reconstruction

inverse problem

delta conductivity

Jacobian matrix

Finite Element Method (FEM)Electrical Impedance Tomography

image reconstruction

inverse problem

delta conductivity

Jacobian matrix

Finite Element Method

Sayı

Makale detayları

Yazarlar: İbrahim Öz

Yayıncı: Kocaeli University

Ana Başlıklar: Biyomedikal Mühendisliği (Diğer)

Dergi: Kocaeli Journal of Science and Engineering Vol.8 Issue 1, pp.38-51

Belge Tipi: Makale

Yayın Tarihi: 5/2025

Belge Dili: İngilizce

Document ID (Org No.): 2001348825

pISSN: 2667-484X

Sayı

Yazarlar:

İbrahim Öz

Yayıncı:

Kocaeli University

Ana Başlıklar:

Biyomedikal Mühendisliği (Diğer)

Dergi:

Kocaeli Journal of Science and Engineering Vol.8 Issue 1, pp.38-51

Belge Tipi:

Makale

Yayın Tarihi:

5/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001348825

pISSN:

2667-484X