PMID- 37659392 OWN - NLM STAT- MEDLINE DCOM- 20230913 LR - 20230920 IS - 2057-1976 (Electronic) IS - 2057-1976 (Linking) VI - 9 IP - 6 DP - 2023 Sep 12 TI - A noise-controlling method by hybrid current-stimulation and voltage-measurement for electrical impedance tomography (HCSVM-EIT). LID - 10.1088/2057-1976/acf61a [doi] AB - Image reconstruction in electrical impedance tomography (EIT) is a typical ill-posed inverse problem, from which the stability of conductivity reconstruction affects the reliability of physiological parameters evaluation. In order to improve the stability, the effect of boundary voltage noise on conductivity reconstruction should be controlled. A noise-controlling method based on hybrid current-stimulation and voltage-measurement for EIT (HCSVM-EIT) is proposed for stable conductivity reconstruction. In HCSVM-EIT, the boundary voltage is measured by one current-stimulation and voltage-measurement pattern (high-SNRpattern) with a higher signal-to-noise ratio (SNR); the sensitivity matrix is calculated by another current-stimulation and voltage-measurement pattern (low-condpattern) with a lower condition number; the boundary voltage is then transformed from thehigh-SNRpattern into thelow-condpattern by multiplying by an optimized transformation matrix for image reconstruction. The stability of conductivity reconstruction is improved by combining the advantages of thehigh-SNRpattern for boundary voltage measurement and thelow-condpattern for sensitivity matrix calculation. The simulation results show that the HCSVM-EIT increases the correlation coefficient (CC) of conductivity reconstruction. The experiment results show that theCCof conductivity reconstruction of the human lower limb is increased from 0.3424 to 0.5580 by 62.97% compared to the quasi-adjacent pattern, and from 0.4942 to 0.5580 by 12.91% compared to the adjacent pattern. In conclusion, the stable conductivity reconstruction with higherCCin HCSVM-EIT improves the reliability of physiological parameters evaluation for disease detection. CI - (c) 2023 IOP Publishing Ltd. FAU - Gao, Zengfeng AU - Gao Z AUID- ORCID: 0000-0002-5619-6343 AD - Division of Fundamental Engineering, Graduate School of Science and Engineering, Chiba University, Chiba 263-8522, Japan. FAU - Darma, Panji Nursetia AU - Darma PN AUID- ORCID: 0000-0001-9528-3100 AD - Division of Fundamental Engineering, Graduate School of Engineering, Chiba University, Chiba 263-8522, Japan. FAU - Sun, Bo AU - Sun B AUID- ORCID: 0000-0002-9489-5604 AD - School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, People's Republic of China. FAU - Kawashima, Daisuke AU - Kawashima D AUID- ORCID: 0000-0002-1523-6206 AD - Division of Fundamental Engineering, Graduate School of Engineering, Chiba University, Chiba 263-8522, Japan. FAU - Takei, Masahiro AU - Takei M AUID- ORCID: 0000-0003-3855-7202 AD - Division of Fundamental Engineering, Graduate School of Engineering, Chiba University, Chiba 263-8522, Japan. LA - eng PT - Journal Article DEP - 20230912 PL - England TA - Biomed Phys Eng Express JT - Biomedical physics & engineering express JID - 101675002 SB - IM MH - Humans MH - Electric Impedance MH - Reproducibility of Results MH - Computer Simulation MH - Electric Conductivity MH - *Tomography OTO - NOTNLM OT - Ill-posed inverse problem OT - electrical impedance tomography OT - noise controlling OT - optimized transformation matrix OT - physiological measurement EDAT- 2023/09/03 00:41 MHDA- 2023/09/13 06:41 CRDT- 2023/09/02 18:23 PHST- 2023/04/11 00:00 [received] PHST- 2023/09/02 00:00 [accepted] PHST- 2023/09/13 06:41 [medline] PHST- 2023/09/03 00:41 [pubmed] PHST- 2023/09/02 18:23 [entrez] AID - 10.1088/2057-1976/acf61a [doi] PST - epublish SO - Biomed Phys Eng Express. 2023 Sep 12;9(6). doi: 10.1088/2057-1976/acf61a.