Fast and precise image generation of blood vessels embedded in skin.
Algorithms
Blood Vessels
/ diagnostic imaging
Computer Simulation
Humans
Image Processing, Computer-Assisted
/ methods
Light
Models, Biological
Monte Carlo Method
Neural Networks, Computer
Normal Distribution
Optical Imaging
/ methods
Programming Languages
Reproducibility of Results
Scattering, Radiation
Skin
/ blood supply
Software
Monte Carlo simulation
blood vessel
hyperspectral
lookup table
optics
photonics
rendering
skin
Journal
Journal of biomedical optics
ISSN: 1560-2281
Titre abrégé: J Biomed Opt
Pays: United States
ID NLM: 9605853
Informations de publication
Date de publication:
01 2019
01 2019
Historique:
received:
19
11
2018
accepted:
09
01
2019
entrez:
30
1
2019
pubmed:
30
1
2019
medline:
10
4
2020
Statut:
ppublish
Résumé
A software for fast rendering the visual appearance of a blood vessel located in human skin was developed based on a numerical solution of the radiative transfer equation. The user can specify geometrical properties, such as the depth and the diameter of the vessel, and physiological properties, such as the oxygen saturation of the vessel or the blood concentration in the skin. From these data, the spatially and spectrally resolved reflectance from the skin containing the blood vessel is calculated via Monte Carlo simulations, by which a two-dimensional image is generated. The short calculation time of about a second is achieved by precalculating and storing the spatially resolved reflectance for a variety of combinations of the optical and geometrical properties. This concept gives the user the opportunity to rapidly explore the influence of the physiological and geometrical properties of the investigated blood vessel on its visual appearance. The correctness of the lookup table was validated by comparison with independent Monte Carlo simulations. Rendering examples of different blood vessels in human skins are given. The current version of the software can be downloaded at https://www.ilm-ulm.de/software.
Identifiants
pubmed: 30693701
pii: JBO-180626R
doi: 10.1117/1.JBO.24.1.015002
pmc: PMC6985685
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1-9Références
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