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Increasing the sensitivity of the OCT system and using better motion correction, signal quality can be improved and it is expected that pure thermal expansion can be visualized, as it was already successfully done in silicone phantoms (data not shown).
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Validation was performed using synthetic phantom data and publicly available clinical 4D CT lung data sets.
Comparisons were performed using data from typical human studies as well as phantom data.
We then present classification validation results using real and phantom data.
"A comprehensive diffusion MRI dataset acquired on the MGH Connectome scanner in a biomimetic brain phantom". Data in Brief 18 (18: 334-339.
The efficacy of the proposed algorithm is also tested for the experimental phantom data and in vivo breast data.
The 4D CTS reconstructions of both the phantom data and the patient data show clear reduction of motion-induced blur.
In addition, a series of simulated phantom data sets were created with known activation locations, magnitudes, and realistic motion.
We evaluated our implementation on ten clinical data sets and one phantom data set to observe if differences occur between CPU and GPU-based reconstructions.
The tests on simulated and phantom data demonstrate that the method is capable of making a small, but significant, improvement to image quality.
The method was evaluated on phantom data sets and the accuracy of the MCUSA and side branch access was found to be 95%and91%1%, respectively.
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