Diagnostic imaging of breast cancer using fluorescence-enhanced optical tomography: phantom studies

被引:85
作者
Godavarty, A
Thompson, AB
Roy, R
Gurfinkel, M
Eppstein, MJ
Zhang, C
Sevick-Muraca, EM
机构
[1] Texas A&M Univ, Photon Migrat Lab, College Stn, TX 77843 USA
[2] Univ Vermont, Dept Comp Sci, Burlington, VT 05405 USA
基金
美国国家卫生研究院;
关键词
optical tomography; fluorescence contrast agents; frequency-domain photon migration; breast cancer; molecular imaging; three-dimensional image reconstructions;
D O I
10.1117/1.1691027
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Molecular targeting with exogenous near-infrared excitable fluorescent agents using time-dependent imaging techniques may enable diagnostic imaging of breast cancer and prognostic imaging of sentinel lymph nodes within the breast. However, prior to the administration of unproven contrast agents, phantom studies on clinically relevant volumes are essential to assess the benefits of fluorescence-enhanced optical imaging in humans. Diagnostic 3-D fluorescence-enhanced optical tomography is demonstrated using 0.5 to 1 cm(3) single and multiple targets differentiated from their surroundings by indocyanine green (micromolar) in a breast-shaped phantom (10-cm diameter). Fluorescence measurements of referenced ac intensity and phase shift were acquired in response to point illumination measurement geometry using a homodyned intensified charge-coupled device system modulated at 100 MHz. Bayesian reconstructions show artifact-free 3-D images (3857 unknowns) from 3-D boundary surface measurements (1126 to 439). In a reflectance geometry appropriate for prognostic imaging of lymph node involvement, fluorescence measurements were likewise acquired from the surface of a semi-infinite phantom (8 X 8 X 8 cm3) in response to area illumination (12 cm(2)) by excitation light. Tomographic 3-D reconstructions (24,123 unknowns) were recovered from 2-D boundary surface measurements (3194) using the modified truncated Newton's method. These studies represent the first 3-D tomographic images from physiologically relevant geometries for breast imaging. (C) 2004 Society of Photo-Optical Instrumentation Engineers.
引用
收藏
页码:488 / 496
页数:9
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