This federal Project Grant award from the National Cancer Institute (NCI), under the Cancer Detection and Diagnosis Research program (CFDA 93.394), aims to develop an x-ray dual-energy cone-beam microCT (DECB microCT) system for intraoperative imaging of lumpectomy specimens during breast-conserving surgery (BCS). The $2,020,098 award to the University of Chicago will support the following key objectives over the 5-year project period: Develop the DECB microCT technology to provide enhanced...
This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $305,000 to Bired Imaging Inc. aims to develop an innovative breast cancer screening technology that can accurately detect malignant tumors, even in dense breast tissue. The project will utilize infrared imaging to capture surface temperature data and apply physics-based AI algorithms to back-calculate the size and location of tumors. This approach aims to improve early cancer...
The National Science Foundation awarded Malcova Inc. $1,000,000 under the Technology, Innovation, and Partnerships federal grant program (CFDA 47.084) to develop a novel non-planar spectral breast computed tomography device. Malcova will use the one-year project grant term from May 1, 2023 to April 30, 2024 to further the device's design, build a working prototype, and conduct validation testing using anthropomorphic phantoms. The non-invasive breast CT device employs a new scanning method and...
This Project Grant award, titled "DEEPTOBIDX: Deep Learning-Enhanced Multimodal Diagnostic Breast Imaging", is funded by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under the "Discovery and Applied Research for Technological Innovations to Improve Human Health" program (CFDA 93.286). The award aims to develop and validate a two-pronged approach that integrates high-density diffusion optical tomography (DOT) with diagnostic spot compression...
This Project Grant award of $666,670 from the National Cancer Institute (NCI), under the CFDA 93.394 Cancer Detection and Diagnosis Research program, aims to develop innovative scan protocols that combine long axial field-of-view Positron Emission Tomography (PET) and spectral Computed Tomography (CT) imaging to enhance quantification capabilities in oncology. The key goals are to: 1) Develop spectral CT protocols and processing pipelines to generate dynamic iodine maps and perfusion data; 2)...
This Project Grant award from the National Cancer Institute (CFDA 93.394 - Cancer Detection and Diagnosis Research) provides $704,563 to the Beckman Research Institute of the City of Hope to develop a quantitative MRI (qMRI) toolset and automated prostate cancer tumor segmentation method. The key products and services to be delivered through this 5-year project include: Building a qMRI toolset using magnetic resonance fingerprinting, arterial spin labeling, and diffusion-weighted MRI to generate...
This Project Grant award of $246,124 from the National Cancer Institute (NCI) under the Cancer Detection and Diagnosis Research program (CFDA 93.394) supports the development of a personalized, patient-centered system called BREATHS to improve the consistency and effectiveness of deep inspiration breath hold (DIBH) techniques used in breast cancer radiation therapy. The project aims to refine and evaluate the BREATHS system, which uses video display glasses and a respiratory sensor belt to...
The National Cancer Institute (NCI) awarded a $549,536 Project Grant (CFDA 93.394 - Cancer Detection and Diagnosis Research) to Trustees of Dartmouth College to develop a comprehensive 3D wearable near-infrared (NIR) spectral tomography system for early prediction of residual cancer burden in breast cancer patients undergoing neoadjuvant chemotherapy. The project aims to integrate flexible circuit strips into a sleek, 64-channel wearable breast interface and apply 3D image reconstruction...
This Project Grant award from the National Cancer Institute (NCI), under the Cancer Detection and Diagnosis Research program (CFDA 93.394), provides $399,491 to Northridge Tri-Modality Imaging Inc. to upgrade their gantry-based combined X-ray CT and fluorescent tomography (FLT) system. The key objectives are to add bioluminescence tomography (BLT) capability and enhance the FLT sensitivity and image acquisition speed by integrating an intensified-CCD (ICCD) camera. This upgraded multi-modality...
The University of Connecticut has been awarded a $670,634 Project Grant from the National Institutes of Health (NIH) Office of the Director under the Trans-NIH Research Support program (CFDA 93.310). The overarching objective of this 4-year project is to optimize and personalize breast cancer screening by advancing artificial intelligence (AI) algorithms for digital breast tomosynthesis (DBT) imaging. Specifically, the project aims to: (i) develop robust, explainable, and efficient AI models for...