Shangjie Ren , Baorui Bai , Hai Rong , Chenke Zhang , Feng Dong
{"title":"Dynamic chest Electrical Impedance Tomography with mixed statistical shape reconstruction","authors":"Shangjie Ren , Baorui Bai , Hai Rong , Chenke Zhang , Feng Dong","doi":"10.1016/j.bspc.2025.107533","DOIUrl":null,"url":null,"abstract":"<div><div>Electrical Impedance Tomography (EIT) is a promising noninvasive imaging technique, particularly valuable in biomedical applications due to its inherent safety and capability for real-time monitoring. However, enhancing image quality in chest EIT presents significant challenges due to the dynamic nature of chest conductivity and the complexity of accurately capturing heart and lung functionality. To overcome these problems, a Mixed Statistical Shape Representation (MSSR) method is proposed. This innovative approach integrates a mixed statistical shape representation with a spatiotemporal regularization strategy, specifically tailored to tackle the dynamic and complex conductivity reconstruction problem inherent in chest EIT. The proposed MSSR method has been validated using numerical simulations and experimental data. Compared to conventional image reconstruction methods, the MSSR approach has shown superior performance in reconstructing chest conductivity changes, especially in capturing the dynamic functionality of the heart. This validation offers improved diagnostic and monitoring capabilities of EIT in biomedical applications.</div></div>","PeriodicalId":55362,"journal":{"name":"Biomedical Signal Processing and Control","volume":"104 ","pages":"Article 107533"},"PeriodicalIF":4.9000,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomedical Signal Processing and Control","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1746809425000448","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Electrical Impedance Tomography (EIT) is a promising noninvasive imaging technique, particularly valuable in biomedical applications due to its inherent safety and capability for real-time monitoring. However, enhancing image quality in chest EIT presents significant challenges due to the dynamic nature of chest conductivity and the complexity of accurately capturing heart and lung functionality. To overcome these problems, a Mixed Statistical Shape Representation (MSSR) method is proposed. This innovative approach integrates a mixed statistical shape representation with a spatiotemporal regularization strategy, specifically tailored to tackle the dynamic and complex conductivity reconstruction problem inherent in chest EIT. The proposed MSSR method has been validated using numerical simulations and experimental data. Compared to conventional image reconstruction methods, the MSSR approach has shown superior performance in reconstructing chest conductivity changes, especially in capturing the dynamic functionality of the heart. This validation offers improved diagnostic and monitoring capabilities of EIT in biomedical applications.
期刊介绍:
Biomedical Signal Processing and Control aims to provide a cross-disciplinary international forum for the interchange of information on research in the measurement and analysis of signals and images in clinical medicine and the biological sciences. Emphasis is placed on contributions dealing with the practical, applications-led research on the use of methods and devices in clinical diagnosis, patient monitoring and management.
Biomedical Signal Processing and Control reflects the main areas in which these methods are being used and developed at the interface of both engineering and clinical science. The scope of the journal is defined to include relevant review papers, technical notes, short communications and letters. Tutorial papers and special issues will also be published.