Presentation + Paper
3 March 2017 Improving visibility in limited-view scenarios with dynamic particle-enhanced optoacoustic tomography
X. Luís Deán-Ben, Lu Ding, Daniel Razansky
Author Affiliations +
Abstract
Limited-view artefacts affect most optoacoustic (photoacoustic) imaging systems due to geometrical constraints that impede achieving full tomographic coverage as well as limited light penetration into scattering and absorbing objects. Indeed, it has been theoretically established and experimentally verified that accurate optoacoustic images can only be obtained if the imaged sample is fully enclosed (< π angular coverage) by the measuring locations. Since in many cases full angular coverage cannot be achieved, the visibility of structures along certain orientations is hampered. These effects are of particular relevance in the case of hand-held scanners with the imaged volume only accessible from one side. Herein, a new approach termed dynamic particle-enhanced optoacoustic tomography (DPOT) is described for accurate structural imaging in limited-view scenarios. The method is based on the non-linear combination of a sequence of tomographic reconstructions representing sparsely distributed moving particles. Good performance of the method is demonstrated in experiments consisting of dynamic visualization of flow of suspended microspheres in three-dimensions. The method is expected to be applicable for improving accuracy of angiographic optoacoustic imaging in living organisms.
Conference Presentation
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
X. Luís Deán-Ben, Lu Ding, and Daniel Razansky "Improving visibility in limited-view scenarios with dynamic particle-enhanced optoacoustic tomography", Proc. SPIE 10064, Photons Plus Ultrasound: Imaging and Sensing 2017, 100641I (3 March 2017); https://doi.org/10.1117/12.2252621
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KEYWORDS
Particles

Tomography

Visibility

Absorption

Imaging systems

Light scattering

Model-based design

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