Develop a cancer specimen imaging system to provide immediate feedback to head and
neck surgeons on the likelihood of residual cancer, allowing for extended excisions if
necessary.
Imaging Technology Development
The continuous development and enhancement of imaging technologies to improve the
accuracy and efficiency of cancer detection and treatment.
Clinical Applications
Practical implementation of advanced imaging systems in clinical settings to provide
real-time feedback during surgical procedures, enhancing patient outcomes.
Clinically test an intraoperative dual-aperture fluorescence ratio (dAFR)
imaging system and automated data analysis (ADA) approach that can accurately locate
inadequate (positive and close) surgical margins on the entire basal surface of
resected-tissue specimens in <1 min during head and neck squamous cell cancer (HNSCC)
surgery.
ADEPT: imaging technology
The overall objective of this proposal is to, refine, build, deploy, and
evaluate an “agent-dependent enhanced fluorescence projection tomographic” (ADEPT)
imaging technology/protocol for detection of cancer spread to sentinel lymph nodes
(SLN)—first tumor draining lymph nodes.
Photon Counting System
Development of a software system to control and test phantoms using photon
counting techniques. This facilitates the calibration and validation of imaging systems
used in biomedical applications, ensuring accurate real-time feedback during cancer
surgeries.