Optical coherence tomography (OCT) is a label-free, high resolution, and minimally invasive imaging technique that can produce depth-resolved cross-sectional and 3D images. We sought to examine non-vascular depth-dependent optical changes directly related to neural activity in the brain using OCT. Results of this study show a significant temporal correlation between non-vascular decrease in attenuation in ex vivo and in vivo seizure models and increased electrical activity during seizure. This study allows for a more thorough and biologically relevant analysis of the optical signature of seizure activity ex vivo and in vivo using OCT.
Optical coherence tomography (OCT) is a label-free, high resolution, and minimally invasive imaging technique that can produce depth-resolved cross-sectional and 3D images. We sought to examine non-vascular depth-dependent optical changes directly related to neural activity in the brain using OCT. Results of this study show a significant temporal correlation between non-vascular decrease in attenuation in ex vivo and in vivo seizure models and increased electrical activity during seizure. This study allows for a more thorough and biologically relevant analysis of the optical signature of seizure activity ex vivo and in vivo using OCT.
Atrial fibrillation (AF) occurs following myocardial infarction (MI) and is associated with left ventricular dysfunction, which promotes the development of atrial remodeling and permanent atrial fibrosis. The purpose of this study was determining the effects of MI on left atrial (LA) remodeling with and without therapy with an angiotensin converting enzyme inhibition (ACEi) utilizing optical coherence tomography (OCT). As the composition of the myocardial tissue changes during LA remodeling the optical attenuation of the light will also change providing a metric to quantify the structural remodeling process. Lewis rats (240-275 g) underwent either surgical ligation of left coronary artery creating chronic MI, or SHAM surgery. 13 weeks post-surgery, ex vivo OCT imaging was performed of the LA appendage. Depth-resolved, attenuation coefficient volumes were calculated and the resulting atrial wall attenuation values were analyzed for four experimental groups: SHAM, SHAM with ACEi, MI no ACEi, and MI with ACEi. Quantification of tissue attenuation was performed and shown to significantly increase with MI in association with increases in collagen as verified with corresponding histological sectioning. Fractal analysis of the LA wall trabeculation patterns, 100 µm below the surface, was performed to quantify wall thickening associated with LA remodeling. A significant increase in fractal dimension was determined post MI compared to SHAM corresponding to a loss of the trabeculation pattern and wall thickening. The results from this study demonstrate OCT as an imaging technique capable of investigate LA remodeling with high resolution and label-free optical contrast processing.
Speckle tracking is a common method for non-rigid tissue motion analysis in 3D echocardiography, where unique texture patterns are tracked through the cardiac cycle. However, poor tracking often occurs due to inherent ultrasound issues, such as image artifacts and speckle decorrelation; thus regularization is required. Various methods, such as optical flow, elastic registration, and block matching techniques have been proposed to track speckle motion. Such methods typically apply spatial and temporal regularization in a separate manner. In this paper, we propose a joint spatiotemporal regularization method based on an adaptive dictionary representation of the dense 3D+time Lagrangian motion field. Sparse dictionaries have good signal adaptive and noise-reduction properties; however, they are prone to quantization errors. Our method takes advantage of the desirable noise suppression, while avoiding the undesirable quantization error. The idea is to enforce regularization only on the poorly tracked trajectories. Specifically, our method 1.) builds data-driven 4-dimensional dictionary of Lagrangian displacements using sparse learning, 2.) automatically identifies poorly tracked trajectories (outliers) based on sparse reconstruction errors, and 3.) performs sparse reconstruction of the outliers only. Our approach can be applied on dense Lagrangian motion fields calculated by any method. We demonstrate the effectiveness of our approach on a baseline block matching speckle tracking and evaluate performance of the proposed algorithm using tracking and strain accuracy analysis.
Cerebral edema develops in response to a variety of conditions, including traumatic brain injury and stroke, and contributes to the poor prognosis associated with these injuries. This study examines the use of optical coherence tomography (OCT) for detecting cerebral edema in vivo. Three-dimensional imaging of an in vivo water intoxication model in mice was performed using a spectral-domain OCT system centered at 1300 nm. The change in attenuation coefficient was calculated and cerebral blood flow was analyzed using Doppler OCT techniques. We found that the average attenuation coefficient in the cerebral cortex decreased over time as edema progressed. The initial decrease began within minutes of inducing cerebral edema and a maximum decrease of 8% was observed by the end of the experiment. Additionally, cerebral blood flow slowed during late-stage edema. Analysis of local regions revealed the same trend at various locations in the brain, consistent with the global nature of the cerebral edema model used in this study. These results demonstrate that OCT is capable of detecting in vivo optical changes occurring due to cerebral edema and highlights the potential of OCT for precise spatiotemporal detection of cerebral edema.
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