Key result
Integrated DTI refinements boost diffusion-weighted SNR ~85%, enabling high-resolution 3D mapping of fine cardiac architecture.
Why the study?
Technical challenges in ex vivo diffusion tensor imaging limited extraction of fine anatomical details of cardiac architecture in rat hearts.
An integrated set of ex vivo DTI methods significantly improves spatial resolution and SNR, allowing for detailed visualization of fine cardiac structures in rat models.
May advance preclinical cardiac microstructure studies; leaves open clinical translation of refined DTI methods.
Cardiac architecture is fundamental to cardiac function and can be assessed non-invasively with diffusion tensor imaging (DTI). Here, we aimed to overcome technical challenges in ex vivo DTI in order to extract fine anatomical details and to provide novel insights in the 3D structure of the heart. An integrated set of methods was implemented in ex vivo rat hearts, including dynamic receiver gain adjustment, gradient system scaling calibration, prospective adjustment of diffusion gradients, and interleaving of diffusion-weighted and non-diffusion-weighted scans. Together, these methods enhanced SNR and spatial resolution, minimised orientation bias in diffusion-weighting, and reduced temperature variation, enabling detection of tissue structures such as cell alignment in atria, valves and vessels at an unprecedented level of detail. Improved confidence in eigenvector reproducibility enabled tracking of myolaminar structures as a basis for segmentation of functional groups of cardiomyocytes. Ex vivo DTI facilitates acquisition of high quality structural data that complements readily available in vivo cardiac functional and anatomical MRI. The improvements presented here will facilitate next generation virtual models integrating micro-structural and electro-mechanical properties of the heart.
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Teh et al. (2016) studied Healthy ex vivo rat hearts (n=5). Technical refinements in DTI (dynamic receiver gain, gradient calibration, prospective adjustment, interleaving) vs. Standard/uncorrected DTI methods was evaluated on Signal-to-noise ratio (SNR) and 95% cone-of-uncertainty (COU) in diffusion-weighted scans. An integrated set of DTI refinements enhanced diffusion-weighted SNR by 85% and reduced 95% cone-of-uncertainty by 41%, enabling high-resolution 3D structural mapping of fine cardiac architecture.
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