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High Resolution, Deep Imaging Using Confocal Time-of-Flight Diffuse Optical Tomography | IEEE Journals & Magazine | IEEE Xplore

High Resolution, Deep Imaging Using Confocal Time-of-Flight Diffuse Optical Tomography


Abstract:

Light scattering by tissue severely limits how deep beneath the surface one can image, and the spatial resolution one can obtain from these images. Diffuse optical tomogr...Show More
Notes: IEEE Xplore ® Notice to Reader: “High Resolution, Deep Imaging Using Confocal Time-of-flight Diffuse Optical Tomography” by Yongyi Zhao, Ankit Raghuram, Hyun K. Kim, Andreas H. Hielscher, Jacob T. Robinson, and Ashok Veeraraghavan published in IEEE Transactions on Pattern Analysis and Machine Intelligence (Early Access) Digital Object Identifier: 10.1109/TPAMI.2021.3075366. This article was posted to Xplore in error before the requested date of May 21, 2021. We regret any inconvenience this may have caused. Sven Dickenson Editor-in-Chief IEEE Transactions on Pattern Analysis and Machine Intelligence

Abstract:

Light scattering by tissue severely limits how deep beneath the surface one can image, and the spatial resolution one can obtain from these images. Diffuse optical tomography (DOT) is one of the most powerful techniques for imaging deep within tissue – well beyond the conventional \sim10-15 mean scattering lengths tolerated by ballistic imaging techniques such as confocal and two-photon microscopy. Unfortunately, existing DOT systems are limited, achieving only centimeter-scale resolution. Furthermore, they suffer from slow acquisition times and slow reconstruction speeds making real-time imaging infeasible. We show that time-of-flight diffuse optical tomography (ToF-DOT) and its confocal variant (CToF-DOT), by exploiting the photon travel time information, allow us to achieve millimeter spatial resolution in the highly scattered diffusion regime (> \!\!50 mean free paths). In addition, we demonstrate two additional innovations: focusing on confocal measurements, and multiplexing the illumination sources allow us to significantly reduce the measurement acquisition time. Finally, we rely on a novel convolutional approximation that allows us to develop a fast reconstruction algorithm, achieving a 100× speedup in reconstruction time compared to traditional DOT reconstruction techniques. Together, we believe that these technical advances serve as the first step towards real-time, millimeter resolution, deep tissue imaging using DOT.
Notes: IEEE Xplore ® Notice to Reader: “High Resolution, Deep Imaging Using Confocal Time-of-flight Diffuse Optical Tomography” by Yongyi Zhao, Ankit Raghuram, Hyun K. Kim, Andreas H. Hielscher, Jacob T. Robinson, and Ashok Veeraraghavan published in IEEE Transactions on Pattern Analysis and Machine Intelligence (Early Access) Digital Object Identifier: 10.1109/TPAMI.2021.3075366. This article was posted to Xplore in error before the requested date of May 21, 2021. We regret any inconvenience this may have caused. Sven Dickenson Editor-in-Chief IEEE Transactions on Pattern Analysis and Machine Intelligence
Page(s): 2206 - 2219
Date of Publication: 23 April 2021

ISSN Information:

PubMed ID: 33891548

Funding Agency:


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