System, method and computer-accessible medium for diffusion imaging acquisition and analysis

A method for determining at least one difference between at least two sets of subjects, comprising:

• receiving first imaging information related to at least one first set of subjects of the at least two sets of subjects;
• receiving second imaging information related to at least one second set of subjects of the at least two sets of subjects;
• generating at least one first matrix based on the first imaging information and at least one second matrix based on the second imaging information, wherein columns of the at least one first matrix correspond to particular first subjects in the at least one first set of subjects, and rows of the at least one first matrix correspond to features of the particular first subjects, and wherein columns of the at least one second matrix correspond to particular second subjects in the at least one second set of subjects, and rows of the at least one second matrix correspond to features of the particular second subjects;
• generating third information by performing at least one low rank plus sparse (L+S) decomposition procedure on the at least one first matrix and the at least one second matrix;
• and
• using a specifically configured computer hardware arrangement, determining the at least one difference based on the third information.

A system for determining at least one difference between at least two sets of subjects, comprising:

• a computer hardware arrangement specifically configured to:
• receive first imaging information related to at least one first set of subjects of the at least two sets of subjects;
• receive second imaging information related to at least one second set of subjects of the at least two sets of subjects;
• generate at least one first matrix based on the first imaging information and at least one second matrix based on the second imaging information, wherein columns of the at least one first matrix correspond to particular first subjects in the at least one first set of subjects, and rows of the at least one first matrix correspond to features of the particular first subjects, and wherein columns of the at least one second matrix correspond to particular second subjects in the at least one second set of subjects, and rows of the at least one second matrix correspond to features of the particular second subjects;
• generate third information by performing at least one low rank plus sparse (L+S) decomposition procedure on the at least one first matrix and the at least one second matrix;
• and
• determine the at least one difference based on the third information.