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Thomas J. Brukilacchio
Researcher at Harvard University
Publications - 3
Citations - 439
Thomas J. Brukilacchio is an academic researcher from Harvard University. The author has contributed to research in topics: Diffuse optical imaging & Breast imaging. The author has an hindex of 2, co-authored 3 publications receiving 429 citations.
Papers
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Journal ArticleDOI
Tomographic optical breast imaging guided by three-dimensional mammography
Ang Li,Eric L. Miller,Misha E. Kilmer,Thomas J. Brukilacchio,Tina Chaves,Jonathan J. Stott,Quan Zhang,Tao Wu,MaryAnn Chorlton,Richard H. Moore,Daniel B. Kopans,David A. Boas +11 more
TL;DR: A modified Tikhonov regularization method is introduced to include three-dimensional x-ray mammography as a prior in the diffuse optical tomography reconstruction and an approach is suggested to find the optimal regularization parameters.
Journal ArticleDOI
Coregistered tomographic x-ray and optical breast imaging: initial results.
Quan Zhang,Thomas J. Brukilacchio,Ang Li,Jonathan J. Stott,Tina Chaves,Elizabeth M. C. Hillman,Tao Wu,MaryAnn Chorlton,Elizabeth A. Rafferty,Richard H. Moore,Daniel B. Kopans,David A. Boas +11 more
TL;DR: These results demonstrate that strictly coregistered x-ray and optical images enable a detailed comparison of the two images, which will ultimately lead to a better understanding of the relationship between the functional contrast afforded by optical imaging and the structural contrast provided byx-ray imaging.
Proceedings ArticleDOI
Estimating the average breast optical properties from transmission measurements despite intrinsic tissue heterogeneity: a Monte Carlo Simulation Study
Quan Zhang,Jonathan J. Stott,Thomas J. Brukilacchio,Ang Li,Tina Chaves,Anand Kumar,Tao Wu,MaryAnn Chorlton,Elizabeth A. Rafferty,Richard H. Moore,Daniel B. Kopans,David A. Boas +11 more
TL;DR: In this paper, the average optical properties of a heterogeneous medium are estimated using a single source-detector pair method and simulations show that multi-distance methods assuming homogeneous structure suffer from systematic modeling errors while single source detector pair methods provide a more meaningful estimate.