title: Diffuser-aided diffuse optical imaging for breast tumor: a feasibility study based on time-resolved three-dimensional Monte Carlo modeling.
abstract: This study proposed diffuser-aided diffuse optical imaging (DADOI) as a new approach to improve the performance of the conventional diffuse optical tomography (DOT) approach for breast imaging. The 3-D breast model for Monte Carlo simulation is remodeled from clinical MRI image. The modified Beer-Lambert's law is adopted with the DADOI approach to substitute the complex algorithms of inverse problem for mapping of spatial distribution, and the depth information is obtained based on the time-of-flight estimation. The simulation results demonstrate that the time-resolved Monte Carlo method can be capable of performing source-detector separations analysis. The dynamics of photon migration with various source-detector separations are analyzed for the characterization of breast tissue and estimation of optode arrangement. The source-detector separations should be less than 4 cm for breast imaging in DOT system. Meanwhile, the feasibility of DADOI was manifested in this study. In the results, DADOI approach can provide better imaging contrast and faster imaging than conventional DOT measurement. The DADOI approach possesses great potential to detect the breast tumor in early stage and chemotherapy monitoring that implies a good feasibility for clinical application.
authors.affiliation: Institute of Biomedical Engineering, National Taiwan University, Taipei 10617, Taiwan. d95543004@ntu.edu.tw
authors.forename: Ching-Cheng
authors.initials: CC
authors.lastname: Chuang
authors.forename: Chia-Yen
authors.initials: CY
authors.lastname: Lee
authors.forename: Chung-Ming
authors.initials: CM
authors.lastname: Chen
authors.forename: Yao-Sheng
authors.initials: YS
authors.lastname: Hsieh
authors.forename: Tsan-Chi
authors.initials: TC
authors.lastname: Liu
authors.forename: Chia-Wei
authors.initials: CW
authors.lastname: Sun
mesh_terms: D000465:Algorithms; D001943:Breast Neoplasms / Q000175:diagnosis* / Q000473:pathology*; D003198:Computer Simulation; D005240:Feasibility Studies; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008954:Models, Biological; D009010:Monte Carlo Method; D019265:Spectroscopy, Near-Infrared