Method, system and/or computer readable medium for characterizing motion of tissue based on acquired pet data

A computing system, comprising:

• a computer readable medium memory that includes instructions for characterizing motion of moving tissue of interest in PET data;
• and
• a processor configured to execute the instructions, wherein the instructions cause the processor to:
• obtain PET data of the moving tissue of interest acquired over a plurality of motion cycles of the tissue of interest;
• generate a set of short PET frames from the PET data based on a predetermined time duration, which is less than a period of the plurality of motion cycles;
• identify the tissue of interest in each short PET frames in the set of short PET frames;
• identify a position value of the identified tissue of interest in each short PET frame in the set of short PET frames;
• identify each of the plurality of motion cycles based on the position of the identified tissue of interest in each short PET frame in the set of short PET frames;
• segment each identified cycle of the plurality of motion cycles into a predetermined number of segments, where a length of each segment corresponds to a predetermined displacement value;
• re-sample the position values of the plurality of motion cycles into bins corresponding to the segments;
• determine statistics for each bin and therefore of the position values for each of the segments;
• and
• characterize the motion of the tissue of interest over the plurality of motion cycles based on the statistics.

A non-statutory computer readable storage medium encoded with computer executable instructions, which when executed by a processor, causes the processor to:

• obtain PET data of moving tissue of interest acquired over a plurality of motion cycles of the tissue of interest;
• generate a set of short PET frames from the PET data based on a predetermined time duration, which is less than a period of the plurality of motion cycles;
• identify the tissue of interest in each short PET frame in the set of short PET frames;
• identify a position value of the identified tissue of interest in each short PET frame in the set of short PET frames;
• identify each of the plurality of motion cycles based on the position of the identified tissue of interest in each short PET frame in the set of short PET frames;
• segment each identified cycle of the plurality of motion cycles into a predetermined number of segments, where a length of each segment corresponds to a predetermined displacement value;
• re-sample the position values of the plurality of motion cycles into bins corresponding to the segments;
• determine statistics for each bin and therefore of the position values for each of the segments;
• and
• characterize the motion of the statistics.