Exploratory study of a multifrequency EIT-based method for detecting intracranial abnormalities
ObjectiveThe purpose of this paper is to compare the differences in the features of multifrequency electrical impedance tomography (MFEIT) images of human heads between healthy subjects and patients with brain diseases and to explore the possibility of applying MFEIT to intracranial abnormality dete...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-08-01
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| Series: | Frontiers in Neurology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fneur.2023.1210991/full |
| _version_ | 1797744371994460160 |
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| author | Jieshi Ma Jie Guo Yang Li Zheng Wang Yunpeng Dong Jianxing Ma Yan Zhu Guan Wu Liang Yi Xuetao Shi |
| author_facet | Jieshi Ma Jie Guo Yang Li Zheng Wang Yunpeng Dong Jianxing Ma Yan Zhu Guan Wu Liang Yi Xuetao Shi |
| author_sort | Jieshi Ma |
| collection | DOAJ |
| description | ObjectiveThe purpose of this paper is to compare the differences in the features of multifrequency electrical impedance tomography (MFEIT) images of human heads between healthy subjects and patients with brain diseases and to explore the possibility of applying MFEIT to intracranial abnormality detection.MethodsSixteen healthy volunteers and 8 patients with brain diseases were recruited as subjects, and the cerebral MFEIT data of 9 frequencies in the range of 21 kHz - 100 kHz of all subjects were acquired with an MFEIT system. MFEIT image sequences were obtained according to certain imaging algorithms, and the area ratio of the ROI (AR_ROI) and the mean value of the reconstructed resistivity change of the ROI (MVRRC_ROI) on both the left and right sides of these images were extracted. The geometric asymmetry index (GAI) and intensity asymmetry index (IAI) were further proposed to characterize the symmetry of MFEIT images based on the extracted indices and to statistically compare and analyze the differences between the two groups of subjects on MFEIT images.ResultsThere were no significant differences in either the AR_ROI or the MVRRC_ROI between the two sides of the brains of healthy volunteers (p > 0.05); some of the MFEIT images mainly in the range of 30 kHz – 60 kHz of patients with brain diseases showed stronger resistivity distributions (larger area or stronger signal) that were approximately symmetric with the location of the lesions. However, statistical analysis showed that the AR_ROI and the MVRRC_ROI on the healthy sides of MFEIT images of patients with unilateral brain disease were not significantly different from those on the affected side (p > 0.05). The GAI and IAI were higher in all patients with brain diseases than in healthy volunteers except for 80 kHz (p < 0.05).ConclusionThere were significant differences in the geometric symmetry and the signal intensity symmetry of the reconstructed targets in the MFEIT images between healthy volunteers and patients with brain diseases, and the above findings provide a reference for the rapid detection of intracranial abnormalities using MFEIT images and may provide a basis for further exploration of MFEIT for the detection of brain diseases. |
| first_indexed | 2024-03-12T15:08:49Z |
| format | Article |
| id | doaj.art-010c59e2adc145c599b4151726807696 |
| institution | Directory Open Access Journal |
| issn | 1664-2295 |
| language | English |
| last_indexed | 2024-03-12T15:08:49Z |
| publishDate | 2023-08-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Neurology |
| spelling | doaj.art-010c59e2adc145c599b41517268076962023-08-11T22:51:03ZengFrontiers Media S.A.Frontiers in Neurology1664-22952023-08-011410.3389/fneur.2023.12109911210991Exploratory study of a multifrequency EIT-based method for detecting intracranial abnormalitiesJieshi Ma0Jie Guo1Yang Li2Zheng Wang3Yunpeng Dong4Jianxing Ma5Yan Zhu6Guan Wu7Liang Yi8Xuetao Shi9Department of Medical Engineering, Army Medical Center of PLA, Chongqing, ChinaInstitute of Medical Research, Northwestern Polytechnical University, Xi'an, ChinaDepartment of Medical Engineering, Army Medical Center of PLA, Chongqing, ChinaDepartment of Neurosurgery, Army Medical Center of PLA, Chongqing, ChinaDepartment of Neurosurgery, Army Medical Center of PLA, Chongqing, ChinaDepartment of Neurosurgery, Army Medical Center of PLA, Chongqing, ChinaHangzhou Utron Technology Co., Ltd., Hangzhou, ChinaHangzhou Utron Technology Co., Ltd., Hangzhou, ChinaDepartment of Neurosurgery, Army Medical Center of PLA, Chongqing, ChinaDepartment of Medical Electronic Engineering, School of Biomedical Engineering, Air Force Medical University of PLA, Xi'an, ChinaObjectiveThe purpose of this paper is to compare the differences in the features of multifrequency electrical impedance tomography (MFEIT) images of human heads between healthy subjects and patients with brain diseases and to explore the possibility of applying MFEIT to intracranial abnormality detection.MethodsSixteen healthy volunteers and 8 patients with brain diseases were recruited as subjects, and the cerebral MFEIT data of 9 frequencies in the range of 21 kHz - 100 kHz of all subjects were acquired with an MFEIT system. MFEIT image sequences were obtained according to certain imaging algorithms, and the area ratio of the ROI (AR_ROI) and the mean value of the reconstructed resistivity change of the ROI (MVRRC_ROI) on both the left and right sides of these images were extracted. The geometric asymmetry index (GAI) and intensity asymmetry index (IAI) were further proposed to characterize the symmetry of MFEIT images based on the extracted indices and to statistically compare and analyze the differences between the two groups of subjects on MFEIT images.ResultsThere were no significant differences in either the AR_ROI or the MVRRC_ROI between the two sides of the brains of healthy volunteers (p > 0.05); some of the MFEIT images mainly in the range of 30 kHz – 60 kHz of patients with brain diseases showed stronger resistivity distributions (larger area or stronger signal) that were approximately symmetric with the location of the lesions. However, statistical analysis showed that the AR_ROI and the MVRRC_ROI on the healthy sides of MFEIT images of patients with unilateral brain disease were not significantly different from those on the affected side (p > 0.05). The GAI and IAI were higher in all patients with brain diseases than in healthy volunteers except for 80 kHz (p < 0.05).ConclusionThere were significant differences in the geometric symmetry and the signal intensity symmetry of the reconstructed targets in the MFEIT images between healthy volunteers and patients with brain diseases, and the above findings provide a reference for the rapid detection of intracranial abnormalities using MFEIT images and may provide a basis for further exploration of MFEIT for the detection of brain diseases.https://www.frontiersin.org/articles/10.3389/fneur.2023.1210991/fullcerebralMFEITimage featuresarea and signal intensity of ROIsymmetryintracranial abnormality |
| spellingShingle | Jieshi Ma Jie Guo Yang Li Zheng Wang Yunpeng Dong Jianxing Ma Yan Zhu Guan Wu Liang Yi Xuetao Shi Exploratory study of a multifrequency EIT-based method for detecting intracranial abnormalities Frontiers in Neurology cerebral MFEIT image features area and signal intensity of ROI symmetry intracranial abnormality |
| title | Exploratory study of a multifrequency EIT-based method for detecting intracranial abnormalities |
| title_full | Exploratory study of a multifrequency EIT-based method for detecting intracranial abnormalities |
| title_fullStr | Exploratory study of a multifrequency EIT-based method for detecting intracranial abnormalities |
| title_full_unstemmed | Exploratory study of a multifrequency EIT-based method for detecting intracranial abnormalities |
| title_short | Exploratory study of a multifrequency EIT-based method for detecting intracranial abnormalities |
| title_sort | exploratory study of a multifrequency eit based method for detecting intracranial abnormalities |
| topic | cerebral MFEIT image features area and signal intensity of ROI symmetry intracranial abnormality |
| url | https://www.frontiersin.org/articles/10.3389/fneur.2023.1210991/full |
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