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Title: Three-dimensional flow contrast imaging of deep tissue using noncontact diffuse correlation tomography

Abstract

This study extended our recently developed noncontact diffuse correlation spectroscopy flowmetry system into noncontact diffuse correlation tomography (ncDCT) for three-dimensional (3-D) flow imaging of deep tissue. A linear array of 15 photodetectors and two laser sources connected to a mobile lens-focusing system enabled automatic and noncontact scanning of flow in a region of interest. These boundary measurements were combined with a finite element framework for DCT image reconstruction implemented into an existing software package. This technique was tested in computer simulations and using a tissue-like phantom with anomaly flow contrast design. The cylindrical tube-shaped anomaly was clearly reconstructed in both simulation and phantom. Recovered and assigned flow contrast changes in anomaly were found to be highly correlated: regression slope = 1.00, R{sup 2} = 1.00, and p < 10{sup −5} in simulation and regression slope ≥ 0.97, R{sup 2} ≥ 0.96, and p < 10{sup −3} in phantom. These results exhibit promise of our ncDCT technique for 3-D imaging of deep tissue blood flow heterogeneities.

Authors:
; ; ; ; ;  [1]
  1. Department of Biomedical Engineering, University of Kentucky, Lexington, Kentucky 40506 (United States)
Publication Date:
OSTI Identifier:
22258617
Resource Type:
Journal Article
Journal Name:
Applied Physics Letters
Additional Journal Information:
Journal Volume: 104; Journal Issue: 12; Other Information: (c) 2014 AIP Publishing LLC; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0003-6951
Country of Publication:
United States
Language:
English
Subject:
71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; 62 RADIOLOGY AND NUCLEAR MEDICINE; BLOOD FLOW; COMPUTERIZED SIMULATION; FINITE ELEMENT METHOD; PHANTOMS; PHOTODETECTORS; SPECTROSCOPY; THREE-DIMENSIONAL CALCULATIONS; TOMOGRAPHY

Citation Formats

Lin, Yu, Huang, Chong, Irwin, Daniel, He, Lian, Shang, Yu, and Yu, Guoqiang. Three-dimensional flow contrast imaging of deep tissue using noncontact diffuse correlation tomography. United States: N. p., 2014. Web. doi:10.1063/1.4869469.
Lin, Yu, Huang, Chong, Irwin, Daniel, He, Lian, Shang, Yu, & Yu, Guoqiang. Three-dimensional flow contrast imaging of deep tissue using noncontact diffuse correlation tomography. United States. https://doi.org/10.1063/1.4869469
Lin, Yu, Huang, Chong, Irwin, Daniel, He, Lian, Shang, Yu, and Yu, Guoqiang. 2014. "Three-dimensional flow contrast imaging of deep tissue using noncontact diffuse correlation tomography". United States. https://doi.org/10.1063/1.4869469.
@article{osti_22258617,
title = {Three-dimensional flow contrast imaging of deep tissue using noncontact diffuse correlation tomography},
author = {Lin, Yu and Huang, Chong and Irwin, Daniel and He, Lian and Shang, Yu and Yu, Guoqiang},
abstractNote = {This study extended our recently developed noncontact diffuse correlation spectroscopy flowmetry system into noncontact diffuse correlation tomography (ncDCT) for three-dimensional (3-D) flow imaging of deep tissue. A linear array of 15 photodetectors and two laser sources connected to a mobile lens-focusing system enabled automatic and noncontact scanning of flow in a region of interest. These boundary measurements were combined with a finite element framework for DCT image reconstruction implemented into an existing software package. This technique was tested in computer simulations and using a tissue-like phantom with anomaly flow contrast design. The cylindrical tube-shaped anomaly was clearly reconstructed in both simulation and phantom. Recovered and assigned flow contrast changes in anomaly were found to be highly correlated: regression slope = 1.00, R{sup 2} = 1.00, and p < 10{sup −5} in simulation and regression slope ≥ 0.97, R{sup 2} ≥ 0.96, and p < 10{sup −3} in phantom. These results exhibit promise of our ncDCT technique for 3-D imaging of deep tissue blood flow heterogeneities.},
doi = {10.1063/1.4869469},
url = {https://www.osti.gov/biblio/22258617}, journal = {Applied Physics Letters},
issn = {0003-6951},
number = 12,
volume = 104,
place = {United States},
year = {Mon Mar 24 00:00:00 EDT 2014},
month = {Mon Mar 24 00:00:00 EDT 2014}
}