The mechanical components of the heart, especially the valves, are enormously stressed during lifetime and undergo different pathophysiological tissue transformations, which affect cardiac output and in consequence living comfort of affected patients. Calcific aortic valve stenosis (AVS) is the most common valve disease in modern industrial countries but the pathogenesis and progression of this disease is still unknown. Therefore, animal models, especially mouse models, are a powerfull tool to investigate this disease in more detail with high resolution imaging techniques like optical coherence tomography and video microscopy.
A custom-made pump was used for artificial stimulation of aortic valves ex vivo of 17-week-old wildtype and 12-month-old ApoE knockout mice. Image acquisition and viszualization of tissue dynamics was perfomed by using a multimodal imaging system for time-resolved 3D OCT and high-speed microscopy.
Exemplary findings will be presented showing the differences in tissue behaviour and dynamics of the aortic valves, which were visualized under same conditions of artificial stimulation with 4D OCT and high speed mi-croscopy. Furthermore, clinically relevant parameters like maximum opening area and slope time of the valve movement can be measured from these time-resolved image data.
The presented results show that optical coherence tomography and high-speed video microscopy are prom-ising tools for the investigation of dynamic behavior and its changes in calcific aortic valve stenosis disease models in mice. OCT offers an easy access to the morphology in 3D and the measurement of tissue parameters like tissue thickness without any sample preparation like staining or cutting.
Christian Schnabel, Anett Jannasch, Saskia Faak, and Edmund Koch, "4D optical coherence tomography for imaging aortic valve dynamics ex vivo (Conference Presentation)," Proc. SPIE 10471, Diagnostic and Therapeutic Applications of Light in Cardiology 2018, 1047108 (Presented at SPIE BiOS: January 27, 2018; Published: 14 March 2018); https://doi.org/10.1117/12.2288259.5751470592001.
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