title: Noncontact diffuse correlation tomography of human breast tumor.
abstract: Our first step to adapt our recently developed noncontact diffuse correlation tomography (ncDCT) system for three-dimensional (3-D) imaging of blood flow distribution in human breast tumors is reported. A commercial 3-D camera was used to obtain breast surface geometry, which was then converted to a solid volume mesh. An ncDCT probe scanned over a region of interest on the mesh surface and the measured boundary data were combined with a finite element framework for 3-D image reconstruction of blood flow distribution. This technique was tested in computer simulations and in vivo human breasts with low-grade carcinoma. Results from computer simulations suggest that relatively high accuracy can be achieved when the entire tumor is within the sensitive region of diffuse light. Image reconstruction with a priori knowledge of the tumor volume and location can significantly improve the accuracy in recovery of tumor blood flow contrasts. In vivo imaging results from two breast carcinomas show higher average blood flow contrasts (5.9- and 10.9-fold) in the tumor regions compared to the surrounding tissues, which are comparable with previous findings using diffuse correlation spectroscopy. The ncDCT system has the potential to image blood flow distributions in soft and vulnerable tissues without distorting tissue hemodynamics
authors.affiliation: University of Kentucky, Department of Biomedical Engineering, 143 Graham Avenue, Lexington, Kentucky 40506, United States.
authors.forename: Lian
authors.initials: L
authors.lastname: He
authors.affiliation: University of Kentucky, Department of Biomedical Engineering, 143 Graham Avenue, Lexington, Kentucky 40506, United States.
authors.forename: Yu
authors.initials: Y
authors.lastname: Lin
authors.affiliation: University of Kentucky, Department of Biomedical Engineering, 143 Graham Avenue, Lexington, Kentucky 40506, United States.
authors.forename: Chong
authors.initials: C
authors.lastname: Huang
authors.affiliation: University of Kentucky, Department of Biomedical Engineering, 143 Graham Avenue, Lexington, Kentucky 40506, United States.
authors.forename: Daniel
authors.initials: D
authors.lastname: Irwin
authors.affiliation: University of Kentucky, Markey Cancer Center, Division of Women's Radiology, 800 Rose Street, Lexington, Kentucky 40536, United States.
authors.forename: Margaret M
authors.initials: MM
authors.lastname: Szabunio
authors.affiliation: University of Kentucky, Department of Biomedical Engineering, 143 Graham Avenue, Lexington, Kentucky 40506, United States.
authors.forename: Guoqiang
authors.initials: G
authors.lastname: Yu
mesh_terms: D001783:Blood Flow Velocity; D001943:Breast Neoplasms / Q000473:pathology* / Q000503:physiopathology*; D004867:Equipment Design; D019544:Equipment Failure Analysis; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000295:instrumentation; D007909:Lenses; D008875:Middle Aged; D009389:Neovascularization, Pathologic / Q000473:pathology* / Q000503:physiopathology*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D041622:Tomography, Optical / Q000295:instrumentation*