The General Hospital Corporation Research Management Division, doing business as Massachusetts General Hospital (MGH), has been awarded a $695,266 Project Grant from the National Institute of Biomedical Imaging and Bioengineering (NIBIB), under the Discovery and Applied Research for Technological Innovations to Improve Human Health (CFDA 93.286) federal grant program. The funding will support the DEEPTOBIDX project, which aims to develop and validate a two-pronged approach to leverage the integration of high-density diffusion optical tomography (DOT) with diagnostic digital breast tomosynthesis (DBT) imaging, and a novel multimodal deep neural network model to obtain high-quality optical images. The project objectives are to address translational barriers in the clinical utility of DOT for breast cancer diagnosis by improving lesion characterization and reducing the time required for image reconstruction. Over the 4-year project period ending in May 2028, the research at MGH will focus on engineering hardware solutions for seamless DOT-DBT integration and developing advanced deep learning algorithms to enhance DOT image quality. This work is expected to facilitate the integration of DOT with diagnostic mammography in clinical practice, potentially reducing unnecessary breast biopsies and associated burdens for patients.
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