| Paper ID | BIO-2.3 |
| Paper Title |
VALIDATING THE INSPIRED SINEWAVE TECHNIQUE TO MEASURE LUNG HETEROGENEITY COMPARED TO ATELECTASIS & OVER-DISTENDED VOLUME IN COMPUTED TOMOGRAPHY IMAGES |
| Authors |
Minh Tran, PhiAnh Phan, Douglas Crockett, University of Oxford, United Kingdom; Federico Formenti, John Cronin, King's College London, United Kingdom; Stephen Payne, Andrew Farmery, University of Oxford, United Kingdom |
| Session | BIO-2: Biomedical Signal Processing: Detection and Estimation |
| Location | Gather.Town |
| Session Time: | Tuesday, 08 June, 13:00 - 13:45 |
| Presentation Time: | Tuesday, 08 June, 13:00 - 13:45 |
| Presentation |
Poster
|
| Topic |
Biomedical Imaging and Signal Processing: [BIO] Biomedical signal processing |
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| Virtual Presentation |
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| Abstract |
The inspired sinewave technique (IST) is a non-invasive non-ionising method which can measure accurately lung parameters. Six anaesthetised pigs were studied after surfactant depletion by saline-lavage. Paired measurements of lung heterogeneity were taken with the IST and computed tomography (CT). Lung heterogeneity measured by the IST was calculated by the ratio of tracer gas outputs measured at 180s and 60s. In CT images, lungs were manually segmented and divided into different regions according to voxel density. The IST and CT show strong agreement on lung heterogeneity measurements. In the IST ventilation heterogeneity value, the linear correlation in total of six pigs are weaker than individual animal (R2=0.33 vs R2=0.67 on average). The IST perfusion heterogeneity agreements are lower than IST ventilation values due to the IST technical setup. IST has the potential to measure the lung heterogeneity in ARDS animals. |
