医疗卫生装备2018，Vol.39Issue(4)：11-14,19,5.DOI:10.7687/j.issn1003-8868.2018.04.011
阻尼最小二乘重构算法对颅内局灶性双向电阻抗扰动目标辨识能力的评价研究
Evaluation by damped least-square algorithm on target identification ability of intracranial focal bidirectional electrical impedance perturbation
摘要
Abstract
Objective To evaluate the effect of damped least-square algorithm on the identification of focal bidirectional electrical impedance perturbation in the intracranial area, and to analyze the influence of this kind of perturbation on the reconstruction quality of electrical impedance tomography. Methods Focal bidirectional electrical impedance perturbation was built based on the three-dimensional model and damped least-square algorithm was introduced into imaging. The position error and resolution were used to evaluate the imaging performance.Results When the focal electrical impedance perturbation existed,the target whose conductivity varied greatly or volume was large was more likely to be identified in the images while the target with smaller volume or variable conductivity presented in the reconstruction image was not obvious. It's pointed out that it may cause reconstruction images in some cases could not truly reflect the location and change information of the object of primary cerebral hemorrhage.At the same time,it affected the reconstruction precision,causing the position error and resolution with large fluctuation. Conclusion In reconstruction algorithm linearity correct matrix introduced for bidirectional electrical impedance perturbation contributes to enhancing the recognition of bidirectional perturbation, so that the characterization of the electrical impedance imaging can be augmented for clinical intracerebral hemorrhage.关键词
电阻抗成像/阻尼最小二乘重构算法/双向电阻抗扰动目标/辨识能力/脑出血/继发性缺血Key words
electrical impedance tomography/damped least-square algorithm/bidirectional electrical impedance perturba-tion target/recognition ability/intracerebral haemorrhage/secondary ischaemia分类
医药卫生引用本文复制引用
刘学超,李昊庭,马航,徐灿华,杨滨,代萌,刘锐岗,董秀珍,付峰..阻尼最小二乘重构算法对颅内局灶性双向电阻抗扰动目标辨识能力的评价研究[J].医疗卫生装备,2018,39(4):11-14,19,5.基金项目
国家自然科学基金(51477176,31771073) （51477176,31771073）
军队重大项目(AWS14C006) （AWS14C006）
