Deep tissue near-infrared imaging for vascular network analysis
dc.contributor.author | Seker, Kubra | |
dc.contributor.author | Engin, Mehmet | |
dc.date.accessioned | 2019-10-27T11:08:24Z | |
dc.date.available | 2019-10-27T11:08:24Z | |
dc.date.issued | 2017 | |
dc.department | Ege Üniversitesi | en_US |
dc.description.abstract | Subcutaneous vein network plays important roles to maintain microcirculation that is related to some diagnostic aspects. Despite developments of optical imaging technologies, still the difficulties about deep skin vascular imaging have been continued. On the other hand, since hemoglobin concentration of human blood has key role in the veins imaging by optical manner, the used wavelength in vascular imaging, must be chosen considering absorption of hemoglobin. In this research, we constructed a near infrared (NIR) light source because of lower absorption of hemoglobin in this optical region. To obtain vascular image, reflectance geometry was used. Next, from recorded images, vascular network analysis, such as calculation of width of vascular of interest and complexity of selected region were implemented. By comparing with other modalities, we observed that proposed imaging system has great advantages including nonionized radiation, moderate penetration depth of 0.5-3mm and diameter of 1mm, cost-effective and algorithmic simplicity for analysis. | en_US |
dc.description.sponsorship | Scientific and Technological Research Council of Turkey (TUBITAK)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [113E771] | en_US |
dc.description.sponsorship | This research was supported in-part by Scientific and Technological Research Council of Turkey (TUBITAK), under grand, No:113E771. | en_US |
dc.identifier.doi | 10.1142/S1793545816500516 | |
dc.identifier.issn | 1793-5458 | |
dc.identifier.issn | 1793-7205 | |
dc.identifier.issn | 1793-5458 | en_US |
dc.identifier.issn | 1793-7205 | en_US |
dc.identifier.issue | 3 | en_US |
dc.identifier.scopusquality | Q2 | en_US |
dc.identifier.uri | https://doi.org/10.1142/S1793545816500516 | |
dc.identifier.uri | https://hdl.handle.net/11454/32164 | |
dc.identifier.volume | 10 | en_US |
dc.identifier.wos | WOS:000399088400002 | en_US |
dc.identifier.wosquality | Q4 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | World Scientific Publ Co Pte Ltd | en_US |
dc.relation.ispartof | Journal of Innovative Optical Health Sciences | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Vascular NIR imaging | en_US |
dc.subject | manufacturing liquid and solid phantoms | en_US |
dc.subject | diffuse optical imaging | en_US |
dc.subject | image processing and analysis | en_US |
dc.subject | optical imaging system design | en_US |
dc.title | Deep tissue near-infrared imaging for vascular network analysis | en_US |
dc.type | Article | en_US |