TY  - CONF
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938897503&doi=10.1109%2fI2MTC.2015.7151297&partnerID=40&md5=f8e9976ba26d0762543e7f2bccec51f8
VL  - 2015-J
EP  - 380
ID  - scholars5885
N2  - 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. © 2015 IEEE.
Y1  - 2015///
TI  - Subcutaneous veins depth estimation method using Monte Carlo simulations
AV  - none
N1  - cited By 3; Conference of 2015 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2015 ; Conference Date: 11 May 2015 Through 14 May 2015; Conference Code:113466
A1  - Shahzad, A.
A1  - Tyng, C.M.
A1  - Saad, N.M.
A1  - Walter, N.
A1  - Malik, A.S.
A1  - Meriaudeau, F.
PB  - Institute of Electrical and Electronics Engineers Inc.
SP  - 376
SN  - 10915281
KW  - Diagnosis; Estimation; Infrared devices; Reflection; Thermography (imaging)
KW  -  Depth Estimation; Diffused reflectance; Intravenous (IV) catheterization; Light transport; Near Infrared; Near-infrared imaging; Physiological characteristics; Subcutaneous veins
KW  -  Monte Carlo methods
ER  -