6533b852fe1ef96bd12aad6c
RESEARCH PRODUCT
Toward morphological thoracic EIT: major signal sources correspond to respective organ locations in CT.
Andy AdlerStephan H. BohmBartłomiej GrychtolMarc BodensteinDamien FerrarioJosep Solàsubject
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 ComputedAlgorithmsdescription
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 ability of EIT technology to reconstruct relevant impedance changes at their anatomical locations, provided that information about the thoracic boundary shape (and electrode positions) are used for reconstruction.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2012-11-01 | IEEE transactions on bio-medical engineering |