System, method and computer-accessible medium for detecting functional disorder(s) or aging progression in magnetic resonance imaging

A non-transitory computer-accessible medium having stored thereon computer executable instructions for detecting at least one functional neurological disorder or cognitive aging progression of at least one patient, wherein, when a computing arrangement executes the instructions, the computing arrangement is configured to perform procedures comprising:

• receiving magnetic resonance imaging (MRI) information of:
• a. only one gadolinium (Gd)-free pre-contrast T1W structural MRI scan of at least one portion of the at least one patient, or
• b. only gadolinium (Gd)-free pre-contrast T1W structural MRI scans of at least one portion of the at least one patient;
• generating at least one Gd enhanced cerebral blood volume map of the at least one portion based on the MRI information using at least one machine learning procedure;
• and
• detecting the at least one functional neurological disorder or cognitive aging progression of the at least one patient based on the at least one Gd enhanced cerebral blood volume map, wherein the at least one machine learning procedure includes at least five encoding layers and at least five decoding layers.

A method for detecting at least one functional neurological disorder or cognitive aging progression of at least one patient, comprising:

• receiving magnetic resonance imaging (MRI) information of:
• a. only one gadolinium (Gd)-free pre-contrast T1W structural MRI scan of at least one portion of the at least one patient, or
• b. only gadolinium (Gd)-free pre-contrast T1W structural MRI scans of at least one portion of the at least one patient;
• using a computer hardware arrangement, generating at least one Gd enhanced cerebral blood volume map of the at least one portion based on the MRI information using at least one machine learning procedure, wherein the at least one machine learning procedure includes at least one attention unit;
• and
• using the computer hardware arrangement, detecting the at least one functional neurological disorder or cognitive aging progression of the at least one patient based on the at least one Gd enhanced cerebral blood volume map.

A system for detecting at least one functional neurological disorder or cognitive aging progression of at least one patient, comprising:

• a computer hardware arrangement configured to:
• receive magnetic resonance imaging (MRI) information of:
• a. only one gadolinium (Gd)-free pre-contrast T1W structural MRI scan of at least one portion of the at least one patient, or
• b. only gadolinium (Gd)-free pre-contrast T1W structural MRI scans of at least one portion of the at least one patient,
• generate at least one Gd enhanced cerebral blood volume map of the at least one portion based on the MRI information using at least one machine learning procedure, wherein the at least one machine learning procedure includes at least one attention unit, and
• detect the at least one functional neurological disorder or cognitive aging progression of the at least one patient based on the at least one Gd enhanced cerebral blood volume map.