Continuous- wave parallel interferometric near-infrared spectroscopy (CW pi NIRS) with a fast two-dimensional camera

Interferometric near-infrared spectroscopy (iNIRS) is an optical method that noninvasively measures the optical and dynamic properties of the human brain in vivo. However, the original iNIRS technique uses single-mode fibers for light collection, which reduces the detected light throughput. The reduced light throughput is compensated by the relatively long measurement or integration times (similar to 1 sec), which preclude monitoring of rapid blood flow changes that could be linked to neural activation. Here, we propose parallel interferometric near-infrared spectroscopy (pNIRS) to overcome this limitation. In pNIRS we use multi-mode fibers for light collection and a high-speed, two-dimensional camera for light detection. Each camera pixel acts effectively as a single iNIRS channel. So, the processed signals from each pixel are spatially averaged to reduce the overall integration time. Moreover, interferometric detection provides us with the unique capability of accessing complex information (amplitude and phase) about the light remitted from the sample, which with more than 8000 parallel channels, enabled us to sense the cerebral blood flow with only a 10 msec integration time (similar to 100x faster than conventional iNIRS). In this report, we have described the theoretical foundations and possible ways to implement pNIRS. Then, we developed a prototype continuous wave (CW) pNIRS system and validated it in liquid phantoms. We used our CW pNIRS to monitor the pulsatile blood flow in a human forearm in vivo. Finally, we demonstrated that CW pNIRS could monitor activation of the prefrontal cortex by recording the change in blood flow in the forehead of the subject while he was reading an unknown text.