Stationary multi-source AI-powered tomography (SMART) image reconstruction method and apparatus

A method for dynamic multi-source image reconstruction, the dynamic multi-source image corresponding to dynamic computed tomography (CT) imaging captured by using a plurality of source-detector pairs configured to capture projection data, the method comprising:

• receiving, by a first reconstruction stage, an input data set comprising a group of data frames, each data frame within the group of data frames corresponding to a respective time step, each data frame within the group of data frames comprising a number of projection data sets, each projection data set within the number of projection data sets corresponding to a respective source-detector pair of a stationary multi-source tomography system;
• reconstructing, by the first reconstruction stage, a first intermediate image based, at least in part, on the group of data frames;
• receiving, by a second reconstruction stage, a selected data frame;
• reconstructing, by the second reconstruction stage, a second intermediate image with a constraint of the first intermediate image as prior;
• and
• refining, by a refinement stage, the second intermediate image to produce a three-dimensional output image that corresponds to the dynamic multi-source image.

A system for dynamic multi-source image reconstruction, wherein the dynamic multi-source image corresponds to dynamic computed tomography (CT) imaging captured by using a plurality of source-detector pairs configured to capture projection data, the system comprising:

• a computing device comprising a processor, a memory, an input/output circuitry, and a data store;
• a first reconstruction stage configured to receive an input data set comprising a group of data frames, each data frame within the group of data frames corresponding to a respective time step, each data frame within the group of data frames comprising a number of projection data sets, each projection data set within the number of projection data sets corresponding to a respective source-detector pair of a stationary multi-source tomography system, the first reconstruction stage further configured to reconstruct a first intermediate image based, at least in part, on the group of data frames;
• a second reconstruction stage configured to receive a selected data frame from the group of data frames and to reconstruct a second intermediate image based on the selected data frame with a constraint in an image space of the first intermediate image as prior;
• and
• a refinement stage configured to refine the second intermediate image to produce a three-dimensional output image that corresponds to the dynamic multi-source image.