Posterior Approximate Clustering-Based Sensitivity Matrix Decomposition for Electrical Impedance Tomography

Posterior Approximate Clustering-Based Sensitivity Matrix Decomposition for Electrical Impedance Tomography

This paper introduces a sensitivity matrix decomposition regularization (SMDR) method for electric impedance tomography (EIT). Using <i>k</i>-means clustering, the EIT-reconstructed image can be divided into four clusters, derived based on image features, representing posterior informati...

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Bibliographic Details
Main Authors: Zeying Wang, Yixuan Sun, Jiaqing Li
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Sensors
Subjects:
electrical impedance tomography (EIT)
sensitivity matrix
<i>k</i>-means clustering
regularization method
Online Access:https://www.mdpi.com/1424-8220/24/2/333

Internet

https://www.mdpi.com/1424-8220/24/2/333

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