Open Access
3 March 2020 Small-animal 360-deg fluorescence diffuse optical tomography using structural prior information from ultrasound imaging
Pei-An Lo, Shih-Po Su, Huihua Kenny Chiang
Author Affiliations +
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.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Pei-An Lo, Shih-Po Su, and Huihua Kenny Chiang "Small-animal 360-deg fluorescence diffuse optical tomography using structural prior information from ultrasound imaging," Journal of Biomedical Optics 25(3), 036001 (3 March 2020). https://doi.org/10.1117/1.JBO.25.3.036001
Received: 11 June 2019; Accepted: 23 January 2020; Published: 3 March 2020
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Image segmentation

Optical coherence tomography

Tissues

Image analysis

Image processing

Imaging systems

Statistical analysis

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