Near infrared image processing to quantitate and visualize oxygen saturation during vascular occlusion. Issue 126 (April 2016)

• Record Type: Journal Article
• Authors: Jalil, B.; Salvetti, O.; Potì, L.; Hartwig, V.; Marinelli, M.; L'Abbate, A.
• Is Part Of: Computer methods and programs in biomedicine. Issue 126(2016)
• Page Start: 35
• Page End: 45
• Publication Date: 2016-04
• Subjects: Near-infrared spectrum -- Oxygen saturation -- Multiscale analysis -- Edge detection -- Segmentation -- Region growing; Medicine -- Computer programs -- Periodicals; Biology -- Computer programs -- Periodicals; Computers -- Periodicals; Medicine -- Periodicals; Médecine -- Logiciels -- Périodiques; Biologie -- Logiciels -- Périodiques; Biology -- Computer programs; Medicine -- Computer programs; Periodicals; Electronic journals; 610.28
• DOI: 10.1016/j.cmpb.2015.12.001
• Languages: English
• ISSNs: 0169-2607

Abstract

Highlights: We study oxygen saturation by vascular occlusion test. NIRS camera captured 2D images of hand during ischaemia and in perfusion. We applied edge detection and segmentation to NIRS images. With the applied methods, we can visualize the oxygenation changes. The method allows to quantitate and visualize oxygenation at the same time. Abstract: The assessment of microcirculation spatial heterogeneity on the hand skin is the main objective of this work. Near-infrared spectroscopy based 2D imaging is a non-invasive technique for the assessment of tissue oxygenation. The haemoglobin oxygen saturation images were acquired by a dedicated camera (Kent Imaging) during baseline, ischaemia (brachial artery cuff occlusion) and reperfusion. Acquired images underwent a preliminary restoration process aimed at removing degradations occurring during signal capturing. Then, wavelet transform based multiscale analysis was applied to identify edges by detecting local maxima and minima across successive scales. Segmentation of test areas during different conditions was obtained by thresholding-based region growing approach. The method identifies the differences in microcirculatory control of blood flow in different regions of the hand skin. The obtained results demonstrate the potential use of NIRS images for the clinical evaluation of skin disease and microcirculatory dysfunction.