Motion-Based Structure Separation for Label-Free, High-Speed, 

3D Cardiac Microscopy

Sandeep Bhat, Jungho Ohn, Michael Liebling

IEEE Transactions on Image Processing Vol. 21, Issue 8, August, 2012.

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Capturing the dynamics of individual structures in the embryonic heart is an essential step for studying its function and development. Label-free brightfield (BF) microscopy allows for higher acquisition frame-rates than techniques requiring molecular labeling, without interfering with embryo viability or increasing equipment complexity. However, since different structures contribute similarly to image contrast, label-free microscopy lacks specificity. Here we mitigate this problem by separating a single-channel image series into multiple channels specific to the cardio-vascular structures, based only on their motion patterns. The technique is based on non-uniform temporal synchronizing, selecting, and combining images from multiple cardiac cycles and z-sections to produce 3D+time image volumes of one full cardiac cycle. The resulting data is highly suitable for velocity analysis and 3D-visualization. We characterize the separating capabilities of our technique on a synthetic cardiac dataset and demonstrate its practical applicability, by reconstructing a three-channel, 3D+time volumetric view of the heart in zebrafish embryos with an effective frame rate of 1000 volumes (256 x 256 x 20 voxels each) per second. This technique enables quantitative characterization of dynamic heart function during cardiogenesis.


author={Sandeep Bhat and Jungho Ohn and Michael Liebling},
journal={Image Processing, IEEE Transactions on}, 
title={Motion-Based Structure Separation for Label-Free High-Speed 3-D Cardiac Microscopy},
month={aug. },
pages={3638 -3647}

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