Abstract: A computer-implemented method for sequencing magnetic resonance imaging waveforms uses a multistage sequencing hardware. A method comprises creating, with the aid of a computer processor, an active memory region that includes waveforms and schedules being played, and creating one or more buffer memory regions that contain waveforms and schedules not currently being played. Next, the waveforms and schedules in the one or more buffer memory regions may be updated while waveforms may be played in the active memory region. Upon completion of the waveform playback in the active memory region, the active and buffer memory regions may be swapped so that the former buffer memory region becomes the active memory region, and the former active memory region becomes the buffer memory region. The method may be repeated as needed until the imaging process is completed or otherwise halted.

Abstract: This disclosure provides a computer-implemented method for sequencing magnetic resonance imaging waveforms using a multistage sequencing hardware. The method comprises creating, with the aid of a computer processor, an active memory region that includes waveforms and schedules being played, and creating one or more buffer memory regions that contain waveforms and schedules not currently being played. Next, the waveforms and schedules in the one or more buffer memory regions may be updated while waveforms may be played in the active memory region. Upon completion of the waveform playback in the active memory region, the active and buffer memory regions may be swapped so that the former buffer memory region becomes the active memory region, and the former active memory region becomes the buffer memory region. The method may be repeated as needed until the imaging process is completed or otherwise halted.

Abstract: Systems and methods are provided for the imaging of a subject (e.g., patient). A pipeline architecture is presented that facilitates the development of high-quality, application-specific data reconstructions. A plurality of processing nodes is provided, each node comprising one or more processing tasks for data transformation. Two or more processing nodes are linked together to form a functional pipeline, each pipeline configured to generate image data from a raw image data set, such as raw magnetic resonance imaging data. The generated image data is used to generate the image of the subject. The processing nodes and the functional pipeline can be dynamically reconfigured to optimize the computing resources used. The processing nodes and the pipeline may be visualized and queried to facilitate debugging and the configuration of an image processing procedure.