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 screening technology to improve early detection of breast cancer, especially in women with dense breast tissue. The project will extract thermal-spatial point-cloud data from infrared images and use physics-based AI algorithms to rapidly assess and locate potential malignant tumors. This contactless, radiation-free...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant award (CFDA 47.070) of $195,000 will fund the development of a weakly-supervised breast cancer detection system using active and weakly-supervised learning techniques to improve breast cancer diagnosis from ultrasound images. The project aims to create a deep learning model that can detect breast cancer effectively with minimal annotations, addressing the challenges of noisy, low-contrast...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program grant, with the CFDA number 47.070, provides $203,981 in funding to Kean University to develop a weakly-supervised breast cancer detection system using active and weakly-supervised learning techniques applied to breast ultrasound imaging. The project aims to create a deep learning model that can effectively detect breast cancer in ultrasound images with minimal reliance on costly manual...
This National Science Foundation (NSF) Engineering program (CFDA 47.041) Project Grant award of $200,000 to Oakland University aims to develop a novel low-cost, wireless 3D ultrasound imaging system for use in low-resource settings. The key goals are to: 1) establish quantitative tools using signal processing and artificial intelligence to extract ultrasound-derived biomarkers for improved breast cancer diagnosis, and 2) develop a robust calibration, registration, and sensor fusion protocol to...
This Project Grant award from the National Science Foundation (NSF) Mathematical and Physical Sciences program (CFDA 47.049) provides $183,980 to support research on the theoretical and algorithmic foundations of novel medical imaging modalities at the University of Arizona. The research aims to advance the underlying mathematics and image reconstruction algorithms for emerging modalities like photoacoustic tomography, magnetoacoustoelectric tomography, and ultrasound current density imaging....
This $840,292 Project Grant awarded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program aims to develop a transformative three-dimensional (3D) ultrasound imaging technology that can democratize access to advanced ultrasound imaging capabilities. The research objective is to overcome technical challenges and knowledge gaps to enable the conversion of existing two-dimensional (2D) ultrasound systems into 3D-capable devices, thereby...
The National Science Foundation awarded a $500,000 Project Grant to the Massachusetts Institute of Technology from March 2021 to February 2026 under the Engineering program (CFDA 47.041). The grant funds the CAREER: CONFORMABLE PIEZOELECTRICS FOR SOFT TISSUE IMAGING project. The project aims to develop conformable piezoelectric materials and devices for soft tissue imaging applications. Piezoelectric materials can generate electric charges when subjected to mechanical stress, making them...
This $300,000 Project Grant awarded by the National Science Foundation (NSF) under the Integrative Activities (CFDA 47.083) program supports the development of an innovative, intelligent surgical probe for prostate cancer treatment. The project aims to create an edge artificial intelligence (AI) system-on-chip for bioimpedance analysis that can accurately distinguish cancerous from healthy tissue during prostate removal surgery. The novel technology being developed includes an adaptive filter to...
This $300,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports fundamental research on inverse boundary value problems and related mathematical techniques. The key research areas include: Electrical impedance tomography (EIT) for determining the conductivity of materials by making voltage and current measurements at the boundary. The research will address challenges in EIT such as partial data, anisotropic...
This National Science Foundation award provides $390,000 to Cornell University under the Engineering program (CFDA 47.041) to develop radio frequency sensor technology for internal tissue characterization. The project aims to construct a body phantom with imitation internal tissues and a radio frequency sensor array. Signal processing algorithms will be developed to retrieve vibration and damping characteristics of tissues with high temporal and spectral resolutions. A physical model relating...