Search Results - qianqian+fang

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A wide-field system integrating intensity- and spatially- modulated light for diffuse optical tomography and spectroscopy applications

INV-22102 Background Diffuse optical tomography (DOT) is a non-invasive optical imaging technique that is capable of imaging deep (>1 cm) tissue physiology, such as angiogenesis and metabolism, using only non-ionizing near-infrared light. When modulating the DOT light source intensity at a radio-frequency (RF), a frequency-domain DOT (FD-DOT) can...

Published: 1/27/2025 | Updated: 3/21/2024 | Inventor(s): Qianqian Fang, Miguel Mireles Nunez, Edward Xu

Keywords(s): Cancer, Diffuse Optical Tomography, Spatial Frequency Domain Imaging (SFDI), Speckle Contrast Optical Spectroscopy (SCOS), Speckle Contrast Optical Tomography (SCOT), Wide-field

Category(s): Technology Classifications > 1. Life Science

Optically monitoring brain activities using 3D-aware head-probe

INV-18119 Background The field of brain imaging research presents an opportunity to develop one of the most advanced, target‑specific and accurate diagnostic methods for fully understanding disease mechanisms and pathways, including providing actionable information for tackling diseases such as Alzheimer's and Parkinson's. However, state‑of‑the‑art...

Published: 1/27/2025 | Updated: 3/21/2024 | Inventor(s): Morris Vanegas, Qianqian Fang

Keywords(s):

Category(s): Diagnostics, Technology Classifications > 3. Computer Science > Imaging

A method to localize small and high contrast inclusions in ill-posed model-based imaging modalities

INV-18109 Background The proposed invention describes a unique image reconstruction technique that was specifically developed to image small, high-contrast objects, such as a tumor inside tissue. With this image reconstruction technique, Northeastern researchers have been able to dramatically enhance the property contrast of tumors and abnormal...

Published: 1/27/2025 | Updated: 3/21/2024 | Inventor(s): Qianqian Fang

Keywords(s):

Category(s): Diagnostics, Technology Classifications > 3. Computer Science > Imaging