Bin Deng, PhD, is a biomedical scientist whose research interests revolve around near-infrared (NIR) spectroscopy, functional optical imaging, the interactions between NIR light and tissue, noninvasive optical biomarkers and the pathophysiology of diseases. Dr. Deng investigates the intersection of physics, engineering and medicine to seek novel NIR spectroscopic and imaging technologies to address unmet clinical needs. Over the past five years, her research has focused on translating multimodal diffuse optical tomography (DOT) technology for the early assessment and therapy monitoring of breast cancer. Using a combination of technology development, theoretical modeling and clinical studies in her research, Dr. Deng searches for the answers to critical questions, such as whether, when and how clinical interventions should be introduced in the management of breast cancer.


PhD in Bioengineering, Syracuse University

Select Publications

1. Deng B, Fradkin M, Rouet JM, Moore RH, Kopans DB, Boas DA, et al. Characterizing breast lesions through robust multimodal data fusion using independent diffuse optical and x-ray breast imaging. J Biomed Opt. 2015;20(8):80502.

2. Deng B, Brooks DH, Boas DA, Lundqvist M, Fang Q. Characterization of structural-prior guided optical tomography using realistic breast models derived from dual-energy x-ray mammography. Biomed Opt Express. 2015;6(7):2366-79.

3. Deng B, Lundqvist M, Fang Q, Carp SA. Impact of errors in experimental parameters on reconstructed breast images using diffuse optical tomography. Biomed Opt Express. 2018;9(3):1130-50.


DigiBreast: This open-access complex digital breast phantom, derived from dual-energy X-ray mammograms of human subject, addresses the needs for simulation-based validations for a wide range of model-based imaging modalities, such as simulations of breast deformation, 2D and 3D X-ray breast imaging, and tomographic imaging of a compressed breast using tomographic optical, microwave, thermal and electrical impedance methods. DigiBreast actively used by researchers in the US and abroad.

Awards: NVIDIA GPU Grant; Best Poster Award at the Second Britton Chance International Symposium; etc.


Optics @ Martinos