Co-registered photoacoustic, thermoacoustic, and ultrasound mouse imaging

Daniel R. Reinecke; Robert A. Kruger; Richard B. Lam; Stephen P. DelRio

doi:10.1117/12.841147

23 February 2010 Co-registered photoacoustic, thermoacoustic, and ultrasound mouse imaging

Daniel R. Reinecke, Robert A. Kruger, Richard B. Lam, Stephen P. DelRio

Proceedings Volume 7564, Photons Plus Ultrasound: Imaging and Sensing 2010; 756420 (2010) https://doi.org/10.1117/12.841147
Event: SPIE BiOS, 2010, San Francisco, California, United States

Abstract

We have constructed and tested a prototype test bed that allows us to form 3D photoacoustic CT images using near-infrared (NIR) irradiation (700 - 900 nm), 3D thermoacoustic CT images using microwave irradiation (434 MHz), and 3D ultrasound images from a commercial ultrasound scanner. The device utilizes a vertically oriented, curved array to capture the photoacoustic and thermoacoustic data. In addition, an 8-MHz linear array fixed in a horizontal position provides the ultrasound data. The photoacoustic and thermoacoustic data sets are co-registered exactly because they use the same detector. The ultrasound data set requires only simple corrections to co-register its images. The photoacoustic, thermoacoustic, and ultrasound images of mouse anatomy reveal complementary anatomic information as they exploit different contrast mechanisms. The thermoacoustic images differentiate between muscle, fat and bone. The photoacoustic images reveal the hemoglobin distribution, which is localized predominantly in the vascular space. The ultrasound images provide detailed information about the bony structures. Superposition of all three images onto a co-registered hybrid image shows the potential of a trimodal photoacoustic-thermoacoustic-ultrasound small-animal imaging system.

Citation Download Citation

Daniel R. Reinecke, Robert A. Kruger, Richard B. Lam, and Stephen P. DelRio "Co-registered photoacoustic, thermoacoustic, and ultrasound mouse imaging", Proc. SPIE 7564, Photons Plus Ultrasound: Imaging and Sensing 2010, 756420 (23 February 2010); https://doi.org/10.1117/12.841147

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