34 results about "Spatiotemporal encoding" patented technology

The invention discloses a single scan space-time coding imaging reconstruction method based on the residual network, which relates to a magnetic resonance imaging reconstruction technique based on a deep learning network. The invention provides a single scan space-time coding imaging reconstruction method based on a residual network for obtaining a two-dimensional image in a single scan and reconstructing by a deep learning method. The excitation pulse is replaced by a linear sweep pulse, which effectively resists image distortion caused by the nonuniform magnetic field and chemical shift, andat the same time obtains imaging speed, resolution and signal-to-noise ratio similar to EPI. The SPEN imaging is undersampled along the phase encoding direction. Although the space-time coding imaging signal itself can reflect the contour of the imaged object without reconstruction, the inherent resolution of the contour is typically very low. The single scan space-time coding imaging reconstruction method based on residual network utilizes deep learning to reconstruct SPEN images from low-resolution signal space, greatly improves image resolution, exhibits proton density distribution, and obtains high signal-to-noise ratio while obtaining a resolution similar to conventional deconvolution reconstruction methods.

Described here are systems and methods for volumetric excitation in magnetic resonance imaging (“MRI”) using frequency modulated radio frequency (“RF”) pulses. In general, quadratic phase modulation along the slice encoding direction is implemented for additional spatiotemporal encoding, which better distributes signal content in the slice direction and enables higher acceleration rates that are robust to slice-undersampling.

The invention discloses a transceiving method and a realization device thereof used for single frequency network signals in the technical field of digital television networks, which comprise the steps as follows: a PN frame header after PN frame header time coding processing and transmitting signal combined processing is inserted in front of a data section at a transmitting end; moreover, relevant PN processing and channel estimation processing are implemented at a receiving end. Aiming at solving a problem that received signals can not be effectively resolved due to multipath interferences caused by the single frequency network in overlapping areas, coding processing is implemented on the PN frame header before modulation, and then data jointing and demodulating transmitting are implemented; during receiving, a transmitting signal is obtained through relevant processing and channel estimation on the received and coded PN frame header as well as known PN frame header. The invention greatly improves the signal-to-noise of the channels, and can obtain an effective signal from the interfered signals more easily.

The invention discloses a video prediction method based on a time-space propagation hierarchical codec. The method of the present invention first samples the given original video to obtain the frame sequence and inputs it to the low-level visual memory encoder to obtain the low-level visual coding features and low-level memory state features; features, and extract high-level semantic features through a high-level semantic encoder; then fuse the obtained low-level visual coding features, low-level memory state features, and high-level semantic coding features through a hierarchical feature decoder to output predicted video frames. The method of the present invention can not only integrate the low-level visual memory features and high-level semantic features, but also make the low-level visual information spread along the time sequence direction through the spatio-temporal propagation module, and can also use the prior knowledge of the first frame of the video to solve the video frame blur problem to a certain extent, Improve overall clarity and visual quality of predicted video frames.