Performance estimation of optical skin probe in short wavelength infrared spectroscopy based on Monte-Carlo simulation

被引:0
|
作者
June-Young Lee
Sungmo Ahn
Sung Hyun Nam
机构
[1] Samsung Advanced Institute of Technology,
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Optical throughput and optical path length are key parameters to obtain high signal to noise ratio and sensor sensitivity for the detection of skin tissue components based on short wavelength infrared (SWIR) spectroscopy. These parameters should be taken into account at the stage of optical system design. We aim to develop a method to estimate the optical efficiency and the effective water path length of a newly designed SWIR spectroscopy skin measurement system using Monte-Carlo photon migration simulation. To estimate the optical efficiency and the effective water path length, we investigated the characteristics of Monte-Carlo photon migration simulation utilizing one layered simple skin model. Simulation of photon transport in skin was conducted for transmission, transflection, and reflection optical configurations in both first overtone (1540 ~ 1820 nm) and combination (2040 ~ 2380 nm) wavelength ranges. Experimental measurement of skin spectrum was done using Fourier transform infrared spectroscopy based system to validate the estimation performance. Overall, the simulated results for optical efficiency and effective water path length are in good agreements with the experimental measurements, which shows the suggested method can be used as a means for the performance estimation and the design optimization of various in-vivo SWIR spectroscopic system.
引用
收藏
相关论文
共 50 条
  • [41] ESTIMATION OF THE DERIVATIVES OF GENERATION SYSTEM RELIABILITY INDEXES IN MONTE-CARLO SIMULATION
    AHMAD, MM
    DEBS, A
    WARDI, Y
    IEEE TRANSACTIONS ON POWER SYSTEMS, 1993, 8 (04) : 1448 - 1454
  • [42] Monte-Carlo Simulation-Based Peak Skin Dose Evaluation Method for Fluoroscopic Procedures
    Han, H.
    Streitmatter, S. W.
    Lee, C.
    MEDICAL PHYSICS, 2024, 51 (10) : 7752 - 7752
  • [43] Machine life cycle cost estimation via Monte-Carlo simulation
    Fleischer, Juergen
    Wawerla, Marc
    Niggeschmidt, Stephan
    ADVANCES IN LIFE CYCLE ENGINEERING FOR SUSTAINABLE MANUFACTURING BUSINESSES, 2007, : 449 - +
  • [44] BIOAVAILABILITY ESTIMATION BY SEMISIMULTANEOUS DRUG ADMINISTRATION - A MONTE-CARLO SIMULATION STUDY
    KARLSSON, MO
    BREDBERG, U
    JOURNAL OF PHARMACOKINETICS AND BIOPHARMACEUTICS, 1990, 18 (02): : 103 - 120
  • [45] Monte Carlo Simulation of Near Infrared Reflectance Spectroscopy in the Wavelength Range from 1000 nm to 1900 nm
    Kenji Iino
    Katsuhiko Maruo
    Hidenobu Arimoto
    Koji Hyodo
    Tetsu Nakatani
    Yukio Yamada
    Optical Review, 2003, 10 : 600 - 606
  • [46] Monte Carlo simulation of near infrared reflectance spectroscopy in the wavelength range from 1000 nm to 1900 nm
    Iino, K
    Maruo, K
    Arimoto, H
    Hyodo, K
    Nakatani, T
    Yamada, Y
    OPTICAL REVIEW, 2003, 10 (06) : 600 - 606
  • [47] MONTE-CARLO SIMULATION OF THE HARMONIC-GENERATION IN AN OPTICAL KLYSTRON OR UNDULATOR
    PRAZERES, R
    LAPIERRE, Y
    ORTEGA, JM
    NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 1987, 259 (1-2): : 184 - 191
  • [48] Optical Monte-Carlo Simulation to Evaluate Monolithic PET Detector Concepts
    Grahe, Jan
    Mueller, Florian
    Schug, David
    Hallen, Patrick
    Schulz, Volkmar
    2017 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE (NSS/MIC), 2017,
  • [49] Perturbation Monte-Carlo based derivative estimation for imaging transport regime tissue optical properties
    Kumar, Y. Phaneendra
    Karlekar, Kirtish
    Vasu, R.M.
    Progr. Biomed. Opt. Imaging Proc. SPIE, 1605, 30 (77-84):
  • [50] Risk estimation of river closure based on the Monte-Carlo method
    Zhong, Deng-Hua
    Huang, Wei
    An, Na
    Shuili Xuebao/Journal of Hydraulic Engineering, 2006, 37 (10): : 1212 - 1216