Speckle contrast diffuse correlation tomography of complex turbid medium flow. Issue 7 (11th June 2015)

• Record Type: Journal Article
• Authors: Huang, Chong; Irwin, Daniel; Lin, Yu; Shang, Yu; He, Lian; Kong, Weikai; Luo, Jia; Yu, Guoqiang
• Is Part Of: Medical physics. Volume 42:Issue 7(2015)
• Page Start: 4000
• Page End: 4006
• Publication Date: 2015-06-11
• Subjects: biological tissues -- biomedical optical imaging -- bio‐optics -- CCD image sensors -- data acquisition -- finite element analysis -- haemodynamics -- image reconstruction -- laser applications in medicine -- medical image processing -- optical switches -- optical tomography -- phantoms; Laser imaging -- Finite element calculations -- Reconstruction -- Hemodynamics -- Finite‐element and Galerkin methods; Biological material, e.g. blood, urine; Haemocytometers -- Digital computing or data processing equipment or methods, specially adapted for specific applications -- Image data processing or generation, in general -- Charge coupled imagers; diffuse correlation tomography (DCT) -- speckle contrast -- finite element method (FEM) -- blood flow; Speckle -- Medical image contrast -- Tissues -- Haemodynamics -- Charge coupled devices -- Flow visualization -- Tomography -- Image reconstruction -- Finite element methods; Medical physics -- Periodicals; Medical physics; Geneeskunde; Natuurkunde; Toepassingen; Biophysics; Periodicals; Periodicals; Electronic journals; 610.153
• DOI: 10.1118/1.4922206
• Languages: English
• ISSNs: 0094-2405

Abstract

Abstract : Purpose: Developed herein is a three‐dimensional (3D) flow contrast imaging system leveraging advancements in the extension of laser speckle contrast imaging theories to deep tissues along with our recently developed finite‐element diffuse correlation tomography (DCT) reconstruction scheme. This technique, termed speckle contrast diffuse correlation tomography (scDCT), enables incorporation of complex optical property heterogeneities and sample boundaries. When combined with a reflectance‐based design, this system facilitates a rapid segue into flow contrast imaging of larger, in vivo applications such as humans. Methods: A highly sensitive CCD camera was integrated into a reflectance‐based optical system. Four long‐coherence laser source positions were coupled to an optical switch for sequencing of tomographic data acquisition providing multiple projections through the sample. This system was investigated through incorporation of liquid and solid tissue‐like phantoms exhibiting optical properties and flow characteristics typical of human tissues. Computer simulations were also performed for comparisons. A uniquely encountered smear correction algorithm was employed to correct point‐source illumination contributions during image capture with the frame‐transfer CCD and reflectance setup. Results: Measurements with scDCT on a homogeneous liquid phantom showed that speckle contrast‐based deep flow indices were within 12% of those from standard DCT. Inclusion of a solid phantom submerged below the liquid phantom surface allowed for heterogeneity detection and validation. The heterogeneity was identified successfully by reconstructed 3D flow contrast tomography with scDCT. The heterogeneity center and dimensions and averaged relative flow (within 3%) and localization were in agreement with actuality and computer simulations, respectively. Conclusions: A custom cost‐effective CCD‐based reflectance 3D flow imaging system demonstrated rapid acquisition of dense boundary data and, with further studies, a high potential for translatability to real tissues with arbitrary boundaries. A requisite correction was also found for measurements in the fashion of scDCT to recover accurate speckle contrast of deep tissues.