3 March 2017 Non-invasive volumetric optoacoustic imaging of cardiac cycles in acute myocardial infarction model in real-time
Author Affiliations +
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.
Conference Presentation
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hasiao-Chun Amy Lin, Hasiao-Chun Amy Lin, Xosé Luís Déan-Ben, Xosé Luís Déan-Ben, Melanie Kimm, Melanie Kimm, Katja Kosanke, Katja Kosanke, Helena Haas, Helena Haas, Reinhard Meier, Reinhard Meier, Fabian Lohöfer, Fabian Lohöfer, Moritz Wildgruber, Moritz Wildgruber, Daniel Razansky, Daniel Razansky, } "Non-invasive volumetric optoacoustic imaging of cardiac cycles in acute myocardial infarction model in real-time", Proc. SPIE 10064, Photons Plus Ultrasound: Imaging and Sensing 2017, 100641D (3 March 2017); doi: 10.1117/12.2254818; https://doi.org/10.1117/12.2254818
PROCEEDINGS
7 PAGES + PRESENTATION

SHARE
Back to Top