Abstract

.We demonstrate dual modality of free-space fluorescence diffuse optical tomography (FDOT) and handheld ultrasound (US) imaging to reveal both functional and structural information in small animals. FDOT is a noninvasive method for examining the fluorophore inside an object from the light distribution of the surface. In FDOT, a 660-nm continuous wave diode laser was used as an excitation source and an electron-multiplying charge-coupled device (EMCCD) was used for fluorescence data acquisition. Both the laser and EMCCD were mounted on a 360-deg rotation gantry for the transmission optical data collection. The structural information is obtained from a 6- to 17-MHz handheld US linear transducer by single-side access and conducts in the reconstruction as soft priors. The rotation ranges from 0 deg to 360 deg; different rotation degrees, object positions, and parameters were determined for comparison. Both phantom and tissue phantom results demonstrate that fluorophore distribution can be recovered accurately and quantitatively using this imaging system. Finally, an animal study confirms that the system can extract a dual-modality image, validating its feasibility for further in vivo experiments. In all experiments, the error and standard deviation decrease as the rotation degree is increased and the error was reduced to 10% when the rotation degree was increased over 135 deg.

Highlights

  • The data analysis indicates that full width at half maximum (FWHM) is 7.5 mm, which is 10% lower than that in the real situation

  • The Fluorescence diffuse optical tomography (FDOT) shows that the location of the fluorescence was accurately reconstructed

  • The results showed that the error and standard deviation are lower when the rotation degree increases, confirming that the use of 360 deg improves fluorescence image reconstruction

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Summary

Introduction

Researchers have developed hybrid imaging systems by combining anatomical and FDOT imaging systems.[11,12,13,14,15] Magnetic resonance imaging (MRI) provides high-quality structural information about soft tissues.[16,17,18] Davis et al.[17] used MRI information to reconstruct small-animal-brain FDOT images. Some researchers have adopted small-animal computed tomography (CT) imaging to extract prior information for FDOT reconstruction in small-animal tumor models.[4,7,19,20,21] Ale et al.[22] used a free-space projection view of charge-coupled device (CCD)based fluorescence data and structural information from CT to reconstruct FDOT for both simulation and a lung inflammation animal study

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