Medical imaging with invalid data removal

A non-transitory computer-readable media for tangibly storing instructions for generation of an image, the computer-readable media storing instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising:

• receiving scan data generated by sensing of a subject brain as the subject brain is moved by involuntary movement of the subject;
• accessing a sequence of volumetric-images based on the scan data, each volumetric image having an associated time and comprising a plurality of voxels, each voxel having a particular address in the volumetric image;
• for at least some of the voxels in at least some of the volumetric images:
• accessing a current-intensity value for the voxel;
• accessing an adjacent-intensity value for a comparison voxel with the particular address in an adjacent volumetric-image that is temporally adjacent in the sequence of volumetric images;
• and
• determining a change value for the voxel by comparing the current-intensity value of the voxel to the adjacent-intensity value of the comparison voxel;
• for at least some of the volumetric images;
• determine a first-aggregate using at least a mean value of all change values of the volumetric image;
• determine a second-aggregate using at least a median value of all change values of the volumetric image;
• comparing the first-aggregate to a first threshold;
• comparing a second-aggregate to a second threshold;
• identifying movement based on the mean and the median values or the comparison;
• marking at least one, but not all, of the volumetric images as invalid as a result of the comparison of the first-aggregate to the first threshold and the comparison of the second-aggregate to the second threshold;
• saving in computer memory an image without the volumetric images that have been marked as invalid;
• and
• accessing the saved image as a motion-corrected image that corrects for artifacts created by operation of a magnetic resonance imager that do not correctly represent a phenomenon of the subject brain.

A system for generating volumetric images, the system comprising:

• a volumetric sensor;
• and
• an element comprising one or more processors and computer memory:
• adapted to receive scan data generated by sensing of a subject brain as the subject brain is moved by involuntary movement of the subject;
• and
• configured to perform operations comprising:
• accessing a sequence of volumetric-images based on the scan data, each volumetric image having an associated time and comprising a plurality of voxels, each voxel having a particular address in the volumetric image;
• for at least some of the voxels in at least some of the volumetric images:
• accessing a current-intensity value for the voxel;
• accessing an adjacent-intensity value for a comparison voxel with the particular address in an adjacent volumetric-image that is temporally adjacent in the sequence of volumetric images;
• and
• determining a change value for the voxel by comparing the current-intensity value of the voxel to the adjacent-intensity value of the comparison voxel;
• for at least some of the volumetric images:
• determine a first-aggregate using at least a mean value of all change values of the volumetric image;
• determine a second-aggregate using at least a median value of all change values of the volumetric image;
• comparing the first-aggregate to a first threshold;
• comparing a second-aggregate to a second threshold;
• identifying movement based on the mean and the median values or the comparison;
• marking at least one, but not all, of the volumetric images as invalid as a result of the comparison of the first-aggregate to the first threshold and the comparison of the second-aggregate to the second threshold;
• saving in computer memory an image without the volumetric images that have been marked as invalid;
• and
• accessing the saved image as a motion-corrected image that corrects for artifacts created by operation of a magnetic resonance imager that do not correctly represent a phenomenon of the subject brain.