0000000000811765

AUTHOR

Stephan H. Bohm

showing 2 related works from this author

Chest electrical impedance tomography examination, data analysis, terminology, clinical use and recommendations: consensus statement of the translati…

2017

Electrical impedance tomography (EIT) has undergone 30 years of development. Functional chest examinations with this technology are considered clinically relevant, especially for monitoring regional lung ventilation in mechanically ventilated patients and for regional pulmonary function testing in patients with chronic lung diseases. As EIT becomes an established medical technology, it requires consensus examination, nomenclature, data analysis and interpretation schemes. Such consensus is needed to compare, understand and reproduce study findings from and among different research groups, to enable large clinical trials and, ultimately, routine clinical use. Recommendations of how EIT findi…

Lung DiseasesPathologyPulmonary CirculationLungeTerminologyPaediatric Lung Disaese0302 clinical medicineElectric ImpedanceMedicine1506Medical diagnosisCardiac OutputChildTomographyddc:618Lung Diseases/diagnostic imaging/physiopathology/therapyRespirationHealth technology3. Good healthChild PreschoolArtificialElectrical Impedance Tomography (EIT)Pulmonary and Respiratory MedicineAdultmedicine.medical_specialtyConsensusAssisted VentilationAdolescentTherapy planningImaging/CT MRI etcMedizintechnik03 medical and health sciencesTerminology as TopicState of the Art ReviewHumansMedical physicsIn patientddc:610PreschoolElectrical impedance tomographyStatement (computer science)business.industryInfant NewbornInfant030208 emergency & critical care medicineTOMOGRAFIA COMPUTADORIZADA POR RAIOS XNewbornRespiration ArtificialClinical trial030228 respiratory systemElektrische Impedanz-Tomografie (EIT)ARDSbusinessTomography/methods
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Toward morphological thoracic EIT: major signal sources correspond to respective organ locations in CT.

2012

Lung and cardiovascular monitoring applications of electrical impedance tomography (EIT) require localization of relevant functional structures or organs of interest within the reconstructed images. We describe an algorithm for automatic detection of heart and lung regions in a time series of EIT images. Using EIT reconstruction based on anatomical models, candidate regions are identified in the frequency domain and image-based classification techniques applied. The algorithm was validated on a set of simultaneously recorded EIT and CT data in pigs. In all cases, identified regions in EIT images corresponded to those manually segmented in the matched CT image. Results demonstrate the abilit…

Computer scienceSwine0206 medical engineeringBiomedical Engineering02 engineering and technologyIterative reconstructionSignal030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineElectric ImpedanceImage Processing Computer-AssistedAnimalsComputer visionElectrical impedance tomographyLungTomographyContextual image classificationbusiness.industryReproducibility of ResultsHeartSignal Processing Computer-AssistedImage segmentation020601 biomedical engineeringFrequency domainRadiography ThoracicArtificial intelligencebusinessTomography X-Ray ComputedAlgorithmsIEEE transactions on bio-medical engineering
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