PMID- 28241961
OWN - NLM
STAT- MEDLINE
DCOM- 20170329
LR  - 20170330
IS  - 1872-7565 (Electronic)
IS  - 0169-2607 (Linking)
VI  - 141
DP  - 2017 Apr
TI  - Simulation of laser backscattering system for imaging of inhomogeneity/tumor in 
      biological tissues.
PG  - 11-17
LID - S0169-2607(16)30076-1 [pii]
LID - 10.1016/j.cmpb.2017.01.010 [doi]
AB  - BACKGROUND AND OBJECTIVES: The optical characteristics of biological tissues vary 
      in health and diseases. By analysis of photons scattering process by Monte Carlo 
      simulation (MCS) the inhomogeneities in tissues are to be identified and their 
      images reconstructed. METHODS: Digital phantoms with goat's heart as a control 
      tissue embedded with inhomogeneities adipose (high scattering) and spleen (high 
      absorption) are simulated. The phantoms considered are - (a) simulation of the 
      developed stage of inhomogeneity by inclusion of adipose and spleen tissues in 
      control and (b) its onset stage by increasing the optical parameters by 10% at 
      fixed locations in control tissue. These phantoms are scanned by simulated 
      system, consisting of nine ports for photon injection and backscattered photons 
      from each port are received by three ports located at 2, 4 and 6mm from the 
      injecting port, placed in the direction of x-axis. By the data collected from the 
      entire surface, by processing, three grey-scale images are constructed. For 
      localization of inhomogeneities these images are scanned in terms of normalized 
      backscattered intensity (NBI). RESULTS: The images obtained by MCS with 1 million 
      photons, with error minimized, at respective ports, show the presence of 
      inhomogeneities at various depths, which is further supported by the increase or 
      decrease in the NBI compared to that of control for adipose or spleen, 
      respectively. The increase or decrease is more at first port compared to others. 
      The inhomogeneities located at 2mm below the surface are better identified by the 
      receiving port located at 2mm on the surface. The same applies to inhomogeneities 
      located at 4 and 6mm, respectively. CONCLUSION: The present simulated system not 
      only shows the presence of inhomogeneties at various depths in tissue phantom but 
      also presents their characteristics.
CI  - Copyright (c) 2017. Published by Elsevier B.V.
FAU - Jeeva, J B
AU  - Jeeva JB
AD  - Department of Sensor and Biomedical Technology, School of Electronics 
      Engineering, V.I.T. University, Vellore 632014, India. Electronic address: 
      jbjeeva@vit.ac.in.
FAU - Singh, Megha
AU  - Singh M
AD  - Department of Sensor and Biomedical Technology, School of Electronics 
      Engineering, V.I.T. University, Vellore 632014, India; Center for Biomedical 
      Engineering, S.G.N. Educational Foundation, #12, III Street, Park Avenue, 
      Velachery, Chennai 600042, India. Electronic address: msingh_iitm@yahoo.com.
LA  - eng
PT  - Journal Article
DEP - 20170121
PL  - Ireland
TA  - Comput Methods Programs Biomed
JT  - Computer methods and programs in biomedicine
JID - 8506513
SB  - IM
MH  - Animals
MH  - Goats
MH  - Lasers
MH  - Monte Carlo Method
MH  - Neoplasms/*diagnostic imaging/pathology
MH  - *Phantoms, Imaging
OTO - NOTNLM
OT  - Inhomogeneities
OT  - Monte Carlo simulation
OT  - Normalized backscattered intensity
OT  - Reflectance imaging system
OT  - Tissues phantoms
EDAT- 2017/03/01 06:00
MHDA- 2017/03/31 06:00
CRDT- 2017/03/01 06:00
PHST- 2016/01/31 00:00 [received]
PHST- 2017/01/13 00:00 [revised]
PHST- 2017/01/17 00:00 [accepted]
PHST- 2017/03/01 06:00 [entrez]
PHST- 2017/03/01 06:00 [pubmed]
PHST- 2017/03/31 06:00 [medline]
AID - S0169-2607(16)30076-1 [pii]
AID - 10.1016/j.cmpb.2017.01.010 [doi]
PST - ppublish
SO  - Comput Methods Programs Biomed. 2017 Apr;141:11-17. doi: 
      10.1016/j.cmpb.2017.01.010. Epub 2017 Jan 21.