Image Reconstruction Algorithm of Spatiotemporal Local Change-Extractable Electrical Impedance Tomography (EIT) by Sparse Bayesian Learning (SBL)

Image Reconstruction Algorithm of Spatiotemporal Local Change-Extractable Electrical Impedance Tomography (EIT) by Sparse Bayesian Learning (SBL)

Spatiotemporal local changes have been extracted for evaluating physiological phenomena by an image reconstruction algorithm of electrical impedance tomography (EIT) using sparse Bayesian learning (SBL). The proposed method identifies a region of interest (ROI) by a priori information on conductivit...

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Bibliographic Details
Main Authors: Ryoma OGAWA, Shinsuke AKITA, Masahiro TAKEI
Format: Article
Language:Japanese
Published: The Japan Society of Mechanical Engineers 2022-05-01
Series:Nihon Kikai Gakkai ronbunshu
Subjects:
electrical impedance tomography (eit)
sparse bayesian learning (sbl)
image reconstruction
inverse problem
numerical simulation
multiple measurement matrix (mmm)
Online Access:https://www.jstage.jst.go.jp/article/transjsme/88/910/88_22-00090/_pdf/-char/en

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https://www.jstage.jst.go.jp/article/transjsme/88/910/88_22-00090/_pdf/-char/en

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