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Proceedings Paper

Non-invasive volumetric optoacoustic imaging of cardiac cycles in acute myocardial infarction model in real-time
Author(s): Hasiao-Chun Amy Lin; Xosé Luís Déan-Ben; Melanie Kimm; Katja Kosanke; Helena Haas; Reinhard Meier; Fabian Lohöfer; Moritz Wildgruber; Daniel Razansky
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Paper Abstract

Extraction of murine cardiac functional parameters on a beat-by-beat basis remains challenging with the existing imaging modalities. Novel methods enabling in vivo characterization of functional parameters at a high temporal resolution are poised to advance cardiovascular research and provide a better understanding of the mechanisms underlying cardiac diseases. We present a new approach based on analyzing contrast-enhanced optoacoustic (OA) images acquired at high volumetric frame rate without using cardiac gating or other approaches for motion correction. Acute myocardial infarction was surgically induced in murine models, and the method was modified to optimize for acquisition of artifact-free optoacoustic data. Infarcted hearts could be differentiated from healthy controls based on a significantly higher pulmonary transit time (PTT: infarct 2.07 s vs. healthy 1.34 s), while no statistically significant difference was observed in the heart rate (318 bpm vs. 309 bpm). In combination with the proven ability of optoacoustics to track targeted probes within the injured myocardium, our method is capable of depicting cardiac anatomy, function, and molecular signatures on a beat-by-beat basis, both with high spatial and temporal resolution, thus providing new insights into the study of myocardial ischemia.

Paper Details

Date Published: 3 March 2017
PDF: 7 pages
Proc. SPIE 10064, Photons Plus Ultrasound: Imaging and Sensing 2017, 100641D (3 March 2017);
Show Author Affiliations
Hasiao-Chun Amy Lin, Helmholtz Zentrum München GmbH (Germany)
Technische Univ. München (Germany)
Xosé Luís Déan-Ben, Helmholtz Zentrum München GmbH (Germany)
Melanie Kimm, Technische Univ. München (Germany)
Katja Kosanke, Technische Univ. München (Germany)
Helena Haas, Technische Univ. München (Germany)
Reinhard Meier, Technische Univ. München (Germany)
Fabian Lohöfer, Technische Univ. München (Germany)
Moritz Wildgruber, Technische Univ. München (Germany)
Univ. Münster (Germany)
Daniel Razansky, Helmholtz Zentrum München GmbH (Germany)
Technische Univ. München (Germany)


Published in SPIE Proceedings Vol. 10064:
Photons Plus Ultrasound: Imaging and Sensing 2017
Alexander A. Oraevsky; Lihong V. Wang, Editor(s)

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