6533b853fe1ef96bd12ac0e5

RESEARCH PRODUCT

Subcutaneous Veins Depth Estimation Method Using Monte Carlo Simulations

Naufal M. SaadAamir ShahzadNicolas WalterAamir Saeed MalikChai Meei TyngFabrice Meriaudeau

subject

Near InfraredMedical staffMonte Carlo methodSkin toneDiffused Reflectance01 natural sciences030218 nuclear medicine & medical imaging010309 optics03 medical and health sciences0302 clinical medicineSubcutaneous Veins0103 physical sciencesSkin surfaceMedical imagingMedicine[ SDV.IB ] Life Sciences [q-bio]/BioengineeringMonte CarloHigh contrastbusiness.industryMedication administrationReflectivity3. Good healthIntravenous (IV) Catheterizationcardiovascular system[SDV.IB]Life Sciences [q-bio]/BioengineeringbusinessBiomedical engineering

description

International audience; Subcutaneous veins localization is basic and important step for any intravenous medication administration. Due to different physiological characteristics, mainly darker skin tone, scars or dehydrated condition of patients, medical staff face difficulty in veins localization. Through near infrared imaging technology the veins can be visualized due to high contrast between veins and skin tissue in this modality. Information on the depth of veins is equally important for proper catheterization or venipuncture procedures. Patients have different veins depth due to the different amount of fat present in the subcutaneous layer. The depth of veins from the skin surface cannot be estimated by simple imaging technique. In this paper a mathematical model to estimate the depth of veins based on measured diffused reflectance is presented. A layered model of Monte Carlo simulations for light transport in turbid medium was used to validate the results.

https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01438185