Tomographic image analysis using artificial intelligence (AI) engines

A non-transitory computer-readable storage medium that includes a set of instructions which, in response to execution by a processor of a computer system, cause the processor to perform a method of tomographic data analysis, wherein the method comprises:

• obtaining two-dimensional (2D) projection data associated with a target object and acquired using an imaging system;
• and
• generating analysis output data by processing the 2D projection data using an integrated AI engine that includes (a) a first AI engine and (b) a second AI engine by performing the following:
• based on the 2D projection data, generating first 2D feature data using multiple first processing layers of the first AI engine that operate in a 2D projection space;
• based on the first 2D feature data, generating first 3D feature volume data using multiple second processing layers of the first AI engine that operate in a 3D volume space;
• based on the first 3D feature volume data, generating second 3D feature volume data using multiple third processing layers of the second AI engine that operate in the 3D volume space;
• and
• based on the second 3D feature volume data, generating the analysis output data using multiple fourth processing layers of the second AI engine that operate in the 2D projection space.

A computer system configured to perform tomographic data analysis, wherein the computer system comprises:

• a processor and a non-transitory computer-readable medium having stored thereon instructions that, when executed by the processor, cause the processor to:
• obtain two-dimensional (2D) projection data associated with a target object and acquired using an imaging system;
• and
• generate analysis output data by processing the 2D projection data using an integrated AI engine that includes (a) a first AI engine and (b) a second AI engine by performing the following:
• based on the 2D projection data, generate first 2D feature data using multiple first processing layers of the first AI engine that operate in a 2D projection space;
• based on the first 2D feature data, generate first 3D feature volume data using multiple second processing layers of the first AI engine that operate in a 3D volume space;
• based on the first 3D feature volume data, generate second 3D feature volume data using multiple third processing layers of the second AI engine that operate in the 3D volume space;
• and
• based on the second 3D feature volume data, generate the analysis output data using multiple fourth processing layers of the second AI engine that operate in the 2D projection space.