2019
DOI: 10.1109/tmi.2018.2876625
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Geometric Validation of Continuous, Finely Sampled 3-D Reconstructions From aOCT and CT in Upper Airway Models

Abstract: Identification and treatment of obstructive airway disorders (OADs) are greatly aided by imaging of the geometry of the airway lumen. Anatomical optical coherence tomography (aOCT) is a promising high-speed and minimally invasive endoscopic imaging modality for providing micrometer-resolution scans of the upper airway. Resistance to airflow in OADs is directly caused by the reduction in luminal cross-sectional area (CSA). It is hypothesized that aOCT can produce airway CSA measurements as accurate as that from… Show more

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Cited by 4 publications
(3 citation statements)
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“…The near-infrared (NIR) light band is harmless to patients with a penetration depth of 3mm into human tissues ( 22 24 ). EB-OCT examination can be conducted in conscious patients and avoid the risks from anesthesia, mechanical ventilation and other factors ( 25 27 ). Thus, the benefits of EB-OCT make it promising for diagnosing and treating lung cancer.…”
Section: Optical Coherence Tomographymentioning
confidence: 99%
“…The near-infrared (NIR) light band is harmless to patients with a penetration depth of 3mm into human tissues ( 22 24 ). EB-OCT examination can be conducted in conscious patients and avoid the risks from anesthesia, mechanical ventilation and other factors ( 25 27 ). Thus, the benefits of EB-OCT make it promising for diagnosing and treating lung cancer.…”
Section: Optical Coherence Tomographymentioning
confidence: 99%
“…The near-infrared light band is harmless to patients, and it can scan a depth of 3 mm into human tissues. EB-OCT is easy to operate and it is non-invasive, repeatable, and radiation free ( Montaudon et al., 2009 ; Price et al., 2018 ). EB-OCT is a novel technique to observe the bronchial wall and its tissue structure when performing bronchoscopy equipped with an OCT probe.…”
Section: Discussionmentioning
confidence: 99%
“…Then, aOCT scans were performed with the pressure value simultaneously digitized at 5 kHz. The air-tissue interface from each aOCT image was later segmented using a semi-automatic segmentation method described elsewhere [31]. The segmentations provided coordinates of each point on the airway wall surface, which was used to calculate displacement as described above.…”
Section: Imaging Protocolmentioning
confidence: 99%