Data processing of group imaging studies

A method of processing multi-subject volumes, comprising:

• receiving an input volume image dataset comprising multiple patients scanned simultaneously;
• receiving metadata relating to individual ones of the multiple patients;
• identifying a plurality of portions of the input volume image dataset, each portion comprising one of the multiple patients;
• generating a plurality of separate volume image datasets, each separate volume image dataset comprising one of the portions of the input volume image dataset;
• and
• associating the metadata relating to one of the multiple patients with the separate volume image dataset comprising the portion comprising the subject.

A system for processing volume images of multiple laboratory animals, comprising:

• one or more processors programmed to:
• receive a volume image dataset including image data of multiple individual laboratory animals scanned simultaneously;
• identify portions of the received volume image dataset corresponding to each of the individual multiple laboratory animals;
• receive metadata corresponding to each of the individual multiple laboratory animals;
• generate a plurality of separate volume image datasets, each separate volume image dataset corresponding to one of the individual laboratory animals and associated with the received metadata corresponding to the same individual subject laboratory animal;
• and
• one or more databases configured to receive and store the associated separate volume image datasets with the associated metadata in a searchable format.