Sentence examples for motion contrast methods from inspiring English sources

To study different motion contrast methods, four B-scans were acquired across the foveal centralis (2 mm).

To improve upon these methods, we described logarithmic intensity-based motion contrast methods and demonstrated their superiority for in vivo human parafoveal microvasculature visualization.

To compare retinal visualization using the proposed intensity-based motion contrast methods with the phase contrast method, the DPV en face image (Fig. 7(h)) is generated by summing DPVs over the same regions in the inner retina.

Compared to the differential phase contrast method [ 12], these logarithmic intensity-based motion contrast methods are simpler, have similar performance, and do not require extra software and hardware [ 19].

To show the capillary meshwork of the inner retina through depth using logarithmic intensity-based motion contrast methods, the LOGIV and DLOGIV en face views are generated by integrating their values through different depths.

Intensity-based Doppler variance algorithm [ 30], amplitude speckle [ 31], intensity threshold binarization-based method [ 32], split-spectrum amplitude-decorrelation angiography method [ 33], logarithmic intensity-based motion contrast methods [ 34] and amplitude autocorrelation (AAC) method [ 35] are among the intensity-based methods.

We present in vivo volumetric images of human retinal micro-circulation using Fourier-domain optical coherence tomography (Fd-OCT) with the phase-variance based motion contrast method.

Further improvements to the logarithmic intensity-based motion contrast imaging methods might enhance vascular visualization, reduce the effects of inherent laser source intensity variation, and increase the scanning angle of the retina.

Logarithmic intensity-based motion and speckle-based contrast methods are validated and compared for in vivo human retinal vasculature visualization using high-speed swept-source optical coherence tomography (SS-OCT) at 1060 nm.

Thus, the simplicity and motion sensitivity of LOGIV and DLOGIV may make these two contrast methods more attractive than other proposed phase- and intensity-based methods [ 12, 15– 17, 20– 23] for capturing motion and microvasculature.

Motion contrast enhancement is depicted in Figs. 7(f) and 7 g) using LOGIV and DLOGIV methods.