EIT: a non-radiating functional imaging method for cystic fibrosis
EIT:囊性纤维化的非辐射功能成像方法
基本信息
- 批准号:8741735
- 负责人:
- 金额:$ 15.84万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2013
- 资助国家:美国
- 起止时间:2013-09-30 至 2016-08-31
- 项目状态:已结题
- 来源:
- 关键词:AcuteAdmission activityAdultAdverse effectsAftercareAirAlgorithmsAntibiotic TherapyAntibioticsAtelectasisBody SurfaceChildChronic lung diseaseCitiesClinicalComputer softwareCystic FibrosisDataDiagnosisEffectivenessElectrodesExposure toFeedbackFrequenciesFunctional ImagingGoalsGoldHospitalizationImageImaging TechniquesImaging technologyIndividualIonizing radiationKnowledgeLongevityLungMeasuresMucous body substanceNatureObstructionOralPatient CarePatient Outcomes AssessmentsPatientsPositioning AttributePulmonary Function Test/Forced Expiratory Volume 1Pulmonary function testsRadiationResearchRiskSedation procedureSensitivity and SpecificitySideSpirometrySurveysSymptomsSystemTechnologyTestingTimeVenousX-Ray Computed Tomographycystic fibrosis patientselectric impedanceexperienceimaging modalityimprovedinfancyinterestlung imagingpublic health relevancereconstructionsoftware systemstomographyvoltage
项目摘要
DESCRIPTION (provided by applicant): Individuals with chronic lung disease often have conditions that are very difficult to diagnose without the aid of imaging technology. The gold standard, CT scanning, exposes the patient to ionizing radiation and may be harmful in children. Electrical impedance tomography (EIT) is a noninvasive, non-ionizing functional imaging technique in which electrodes are placed on the surface of the body, and low amplitude, low frequency current is applied on the electrodes. This results in a voltage distribution on the electrodes which can then be measured. From these voltages, an image is formed that re acts the conductivity and/or permittivity distribution within the region of interest. Since EIT is a saf and portable technology with no damaging side effects, it can be used as needed. This project is part of a long term goal to develop an EIT system for imaging patients with chronic lung disease. The goal of this research is to determine whether electrical impedance tomography can provide a means to obtain quantitative and regional information about the extent and nature of bronchial obstruction in patients with cystic fibrosis (CF). In particular, EIT will be used to identify regions of obstruction (air trapping) and consolidation comprised of atelectasis and airway occlusion in CF patients, and to correlate these measures with improvements seen after hospitalized treatment for a pulmonary exacerbation. The first specific aim is to develop algorithms for quantifying bronchial obstruction and consolidation and to determine their sensitivity and specificity. The algorithms will extract information from EIT images of conductivit and permittivity computed using the D-bar reconstruction algorithm developed by the P.I. Data will be collected during spirometry on CF patients clinically indicated for CT scans and on subjects with healthy lungs, and the sensitivity and specificity of the algorithms will be determined using both the data from the healthy subjects and data calculated from CT VIDA Software. The second specific aim is to determine whether these algorithms can demonstrate the beneficial effects of antibiotic treatment for CF patients with an acute PE by correlating changes in quantitative EIT measures with clinical measures known to improve following therapy, with patients serving as their own controls. Regional changes in air trapping and consolidation from pre to post treatment as indicated by the EIT images will be calculated, with subjects serving as their own control.
描述(由申请人提供):患有慢性肺部疾病的个体通常具有在没有成像技术的帮助下很难诊断的病症。金标准CT扫描使患者暴露于电离辐射,对儿童可能有害。电阻抗断层成像(EIT)是一种非侵入性、非电离的功能成像技术,其中电极被放置在身体表面,并且低振幅、低频电流被施加在电极上。这导致电极上的电压分布,然后可以测量该电压分布。根据这些电压,形成反映感兴趣区域内的电导率和/或介电常数分布的图像。由于EIT是一种安全和便携的技术,没有破坏性的副作用,它可以根据需要使用。该项目是一个长期目标的一部分,以开发一个EIT系统成像慢性肺部疾病患者。本研究的目的是确定电阻抗断层扫描是否可以提供一种手段,以获得定量和区域信息的程度和性质的囊性纤维化(CF)患者的支气管阻塞。特别是,EIT将用于识别CF患者中的阻塞(空气滞留)和实变(包括肺不张和气道阻塞)区域,并将这些测量结果与住院治疗肺部恶化后观察到的改善相关联。第一个具体目标是开发量化支气管阻塞和实变的算法,并确定其灵敏度和特异性。该算法将从电导率和介电常数的EIT图像中提取信息,这些电导率和介电常数是使用由P.I.将在肺功能测定期间收集临床上适用于CT扫描的CF患者和肺部健康的受试者的数据,并使用健康受试者的数据和CT维达软件计算的数据确定算法的灵敏度和特异性。第二个具体目标是确定这些算法是否可以通过将定量EIT指标的变化与已知可改善后续治疗的临床指标相关联来证明抗生素治疗对患有急性PE的CF患者的有益效果,患者作为其自身对照。将计算由EIT图像指示的从治疗前到治疗后的空气滞留和实变的区域变化,受试者作为其自身对照。
项目成果
期刊论文数量(7)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Incorporating a Spatial Prior into Nonlinear D-Bar EIT Imaging for Complex Admittivities.
- DOI:10.1109/tmi.2016.2613511
- 发表时间:2017-02
- 期刊:
- 影响因子:10.6
- 作者:Hamilton SJ;Mueller JL;Alsaker M
- 通讯作者:Alsaker M
Evaluation of surrogate measures of pulmonary function derived from electrical impedance tomography data in children with cystic fibrosis.
- DOI:10.1088/1361-6579/aab8c4
- 发表时间:2018-04-26
- 期刊:
- 影响因子:3.2
- 作者:Muller PA;Mueller JL;Mellenthin M;Murthy R;Capps M;Wagner BD;Alsaker M;Deterding R;Sagel SD;Hoppe J
- 通讯作者:Hoppe J
A Real-time D-bar Algorithm for 2-D Electrical Impedance Tomography Data.
- DOI:10.3934/ipi.2014.8.1013
- 发表时间:2014-11-01
- 期刊:
- 影响因子:0
- 作者:Dodd M;Mueller JL
- 通讯作者:Mueller JL
Estimating regions of air trapping from electrical impedance tomography data.
- DOI:10.1088/1361-6579/aac295
- 发表时间:2018-05-31
- 期刊:
- 影响因子:3.2
- 作者:Mueller JL;Muller P;Mellenthin M;Murthy R;Capps M;Alsaker M;Deterding R;Sagel SD;DeBoer E
- 通讯作者:DeBoer E
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Jennifer Lynn Mueller其他文献
Jennifer Lynn Mueller的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Jennifer Lynn Mueller', 18)}}的其他基金
Real-time noninvasive visualization of endotracheal tube placement and 3D lung monitoring in infants with electrical impedance tomography
通过电阻抗断层扫描实时无创可视化婴儿气管插管放置和 3D 肺部监测
- 批准号:
10456497 - 财政年份:2022
- 资助金额:
$ 15.84万 - 项目类别:
Real-Time Assessment of Lung Structure and Function in CF Patients using Electrical Impedance Tomography
使用电阻抗断层扫描实时评估 CF 患者的肺结构和功能
- 批准号:
10311877 - 财政年份:2019
- 资助金额:
$ 15.84万 - 项目类别:
Real-Time Assessment of Lung Structure and Function in CF Patients using Electrical Impedance Tomography
使用电阻抗断层扫描实时评估 CF 患者的肺结构和功能
- 批准号:
9903293 - 财政年份:2019
- 资助金额:
$ 15.84万 - 项目类别:
Real-Time Assessment of Lung Structure and Function in CF Patients using Electrical Impedance Tomography
使用电阻抗断层扫描实时评估 CF 患者的肺结构和功能
- 批准号:
10490818 - 财政年份:2019
- 资助金额:
$ 15.84万 - 项目类别:
EIT: a non-radiating functional imaging method for cystic fibrosis
EIT:囊性纤维化的非辐射功能成像方法
- 批准号:
8638305 - 财政年份:2013
- 资助金额:
$ 15.84万 - 项目类别:
Exploratory Innovations in Electrical Impedance Tomography
电阻抗断层扫描的探索性创新
- 批准号:
7798453 - 财政年份:2010
- 资助金额:
$ 15.84万 - 项目类别:
Exploratory Innovations in Electrical Impedance Tomography
电阻抗断层扫描的探索性创新
- 批准号:
8050145 - 财政年份:2010
- 资助金额:
$ 15.84万 - 项目类别:














{{item.name}}会员




