Improving image reconstruction of bioluminescence imaging using a priori information from ultrasound imaging (Conference Presentation)

Baptiste Jayet; Junaid Ahmad; Shelley L. Taylor; Philip J. Hill; Hamid Dehghani; Stephen P. Morgan

doi:10.1117/12.2251918

24 April 2017 Improving image reconstruction of bioluminescence imaging using a priori information from ultrasound imaging (Conference Presentation)

Baptiste Jayet, Junaid Ahmad, Shelley L. Taylor, Philip J. Hill, Hamid Dehghani, Stephen P. Morgan

Author Affiliations +

Proceedings Volume 10064, Photons Plus Ultrasound: Imaging and Sensing 2017; 100642J (2017) https://doi.org/10.1117/12.2251918
Event: SPIE BiOS, 2017, San Francisco, California, United States

Abstract

Bioluminescence imaging (BLI) is a commonly used imaging modality in biology to study cancer in vivo in small animals. Images are generated using a camera to map the optical fluence emerging from the studied animal, then a numerical reconstruction algorithm is used to locate the sources and estimate their sizes. However, due to the strong light scattering properties of biological tissues, the resolution is very limited (around a few millimetres). Therefore obtaining accurate information about the pathology is complicated. We propose a combined ultrasound/optics approach to improve accuracy of these techniques. In addition to the BLI data, an ultrasound probe driven by a scanner is used for two main objectives. First, to obtain a pure acoustic image, which provides structural information of the sample. And second, to alter the light emission by the bioluminescent sources embedded inside the sample, which is monitored using a high speed optical detector (e.g. photomultiplier tube). We will show that this last measurement, used in conjunction with the ultrasound data, can provide accurate localisation of the bioluminescent sources. This can be used as a priori information by the numerical reconstruction algorithm, greatly increasing the accuracy of the BLI image reconstruction as compared to the image generated using only BLI data.

Conference Presentation

Citation Download Citation

Baptiste Jayet, Junaid Ahmad, Shelley L. Taylor, Philip J. Hill, Hamid Dehghani, and Stephen P. Morgan "Improving image reconstruction of bioluminescence imaging using a priori information from ultrasound imaging (Conference Presentation)", Proc. SPIE 10064, Photons Plus Ultrasound: Imaging and Sensing 2017, 100642J (24 April 2017); https://doi.org/10.1117/12.2251918

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KEYWORDS

Ultrasonography

Bioluminescence

Image restoration

Reconstruction algorithms

Biological research

Biology

Cameras

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