This new NIR image reconstruction algorithm and method overcomes the existing software limitations in current NIR imaging technology and provides markedly superior spatial resolution and image location for anonymously absorbing tumor tissue. Using numerically generated test data that models both human tumors and brain hematomas, a spatial resolution in the range of 3-5 mm has been demonstrated for sample sizes up to 15cm and with a surface light source intensity of approximately 10mW. This image reconstruction algorithm will also allow differential NIR images at two wavelengths (754nm, 816nm) to measure the spatial distribution of hemoglobin oxygen saturation levels in human tissue for various medical diagnostic and monitoring applications.

Compared to existing medical imaging systems such as MRI, CAT scanning and PET scanning, NIR imaging would allow rapid and real-time imaging to be performed with markedly lower operating and equipment costs. These NIR scanners would utilize readily available solid state laser diodes, PMT photodetectors, multi-channel RF modulation and a phase-sensitive amplification/detection system under PC control. Such NIR scanners would provide a compact and portable means for generating and displaying real-time images in surgical, clinic and mobile units for monitoring and diagnostic applications. This would be of particular value in emergency medical applications such as brain hematoma/hemorrhage detection and evaluation in trauma victims.

Reference: UCLA Case No. 1995-546

US Patent Number: 5,694,938