Title
Near infrared image processing to quantitate and visualize oxygen saturation during vascular occlusion.
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.
Year
DOI
Venue
2016
10.1016/j.cmpb.2015.12.001
Computer Methods and Programs in Biomedicine
Keywords
Field
DocType
Near-infrared spectrum,Oxygen saturation,Multiscale analysis,Edge detection,Segmentation,Region growing
Computer vision,Occlusion,Blood flow,Edge detection,Computer science,Segmentation,Image processing,Oxygenation,Artificial intelligence,Region growing,Thresholding
Journal
Volume
Issue
ISSN
126
C
1872-7565
Citations 
PageRank 
References 
1
0.63
4
Authors
6
Name
Order
Citations
PageRank
Jalil Bushra174.84
Ovidio Salvetti216846.26
Luca Potì33017.29
Valentina Hartwig453.87
Martina Marinelli532.06
Antonio L'abbate653.17