Abstract: In accordance with some embodiments, systems, methods, and media for estimating a mechanical property based on a transformation of magnetic resonance elastography (MRE) data using a trained artificial neural network are provided. In some embodiments, a system is provided, the system comprising: a hardware processor programmed to: receive displacement data of tissue in vivo; provide the displacement data to a trained ANN that was trained using noisy input datasets as training data, and derivative datasets corresponding to the noisy input datasets to evaluate performance during training, such that the trained ANN provides an output dataset corresponding to an analytical solution to a derivative of a function represented in an unlabeled input dataset thereby transforming the unlabeled input dataset into its derivative; receive, from the trained ANN, an output dataset indicative of a derivative of the displacement data; and estimate stiffness of the tissue based on the derivative.

Abstract: In accordance with some embodiments, systems, methods, and media for estimating a mechanical property based on a transformation of magnetic resonance elastography (MRE) data using a trained artificial neural network are provided. In some embodiments, a system is provided, the system comprising: a hardware processor programmed to: receive displacement data of tissue in vivo; provide the displacement data to a trained ANN that was trained using noisy input datasets as training data, and derivative datasets corresponding to the noisy input datasets to evaluate performance during training, such that the trained ANN provides an output dataset corresponding to an analytical solution to a derivative of a function represented in an unlabeled input dataset thereby transforming the unlabeled input dataset into its derivative; receive, from the trained ANN, an output dataset indicative of a derivative of the displacement data; and estimate stiffness of the tissue based on the derivative.

Abstract: Magnetic resonance elastography (“MRE”), or other imaging-based elastography techniques, generate estimates of the mechanical properties, such as stiffness and damping ratio, of tissues in a subject. A machine learning approach, such as an artificial neural network, is implemented to perform an inversion of displacement data in order to generate the estimates of the mechanical properties.

Abstract: Described here are systems and methods for magnetic resonance elastography (“MRE”), or other imaging-based elastography techniques, in which a machine learning approach, such as an artificial neural network, is implemented to perform an inversion of displacement data in order to generate estimates of the mechanical properties, such as stiffness and damping ratio, of tissues in a subject.

Abstract: A rifle holder hinge mechanism comprising a support block with rifle hook attached thereto, the support block having a sleeve for receiving a hinge pin, and a hinge block, the hinge block having a hinge block sleeve, with a hinge pin rotatable within the hinge block sleeve. The support block further comprises a projection or detent, and the hinge block further comprise a cutaway or recess configured to receive the detent and limit rotation of the detent of the support block relative to the hinge block. Rotation may be limited 90 degrees such that the rifle holder hinge mechanism has a first position for receiving a weapon and a second position when it is not in use.

Abstract: A rifle holder hinge mechanism comprising a support block with rifle hook attached thereto, the support block having a sleeve for receiving a hinge pin, and a hinge block, the hinge block having a hinge block sleeve, with a hinge pin rotatable within the hinge block sleeve. The support block further comprises a projection or detent, and the hinge block further comprise a cutaway or recess configured to receive the detent and limit rotation of the detent of the support block relative to the hinge block. Rotation may be limited 90 degrees such that the rifle holder hinge mechanism has a first position for receiving a weapon and a second position when it is not in use.

Abstract: A rifle holder hinge mechanism comprising a rifle hook attached to a hinge block, the hinge block having a hinge block sleeve, with a hinge pin rotatable within the hinge block sleeve. A cam is provided connected to the hinge pin and configured to arrest rotation of the hinge pin, such that the hinge pin is rotatable from a first position to an approximately 90-degree second position. In some configurations, a retaining collar with a first detent and a second detent functions as the rotation limiting cam.