Abstract: Systems and methods provide accelerated MR thermometry utilizing prior knowledge about the images to be reconstructed from incomplete k-space data, thereby facilitating accurate reconstruction. In various embodiments, missing data is computationally estimated using a machine learning algorithm such as a neural network, and an image is generated based on iteratively updated estimated missing information.

Abstract: A biopsy system includes a handle for receiving a removable biopsy device which includes an inner needle having a distal tip configured for piercing tissue, a tissue sensing unit for characterizing tissue properties, a recess formed longitudinally in the inner needle proximal to the distal tip for receiving a tissue portion from a region of interest, an outer sheath configured to move relatively to the inner needle, and a connector element for receiving sensing signals from the tissue sensing unit. The handle includes a socket tiltable between a rest position and a tilted position, and having a sliding channel, and a connection board. The connector element includes a coupling matrix while the connection board has a receiving matrix. Fixation pins in one matrix cooperate with holes in a second matrix to facilitate alignment of the connector element with the connection board.

Abstract: The present invention relates to the field of phenotyping, particularly to systems and methods for collecting, retrieval and processing of data for accurate and sensitive analysis and prediction of a phenotype of an object, particularly of a plant.

Abstract: System and method for presentation of tissue sensing data being collected from a tissue being measured are presented and configured for on-line as well as for off-line presentation of the tissue sensing data, the system comprising a device configured and operable to display a graphical user interface, the graphical user interface comprises at least one observation field and is configured to be responsive to the tissue sensing data comprising one or more sensing datum of measured tissue property value, to transform each measured tissue property value into virtual representation in the at least one observation field in the form of a parametric space of two different characteristic parameters of tissue corresponding to the measured tissue property value.