Systems and methods for automated detection in magnetic resonance images

A low-field magnetic resonance imaging device configured to detect change in degree of midline shift in a brain of a patient positioned within a low-field magnetic resonance imaging (MRI) device, the low-field MRI device comprising:

• a plurality of magnetic components, including:
• a B0 magnet configured to produce, at least in part, a B0 magnetic field, wherein the low-field MRI device is portable and operates with a B0 field strength of less than 0.1 T;
• at least one gradient magnet configured to spatially encode magnetic resonance data;
• and
• at least one radio frequency coil configured to stimulate a magnetic resonance response and detect magnetic components configured to, when operated, acquire magnetic resonance image data;
• and
• at least one controller configured to operate the plurality of magnet components to, while the patient remains positioned within the low-field magnetic resonance device, acquire first magnetic resonance (MR) image data of the patient's brain, and acquire second MR image data for the portion of the patient's brain subsequent to acquiring the first MR image data,
• wherein the at least one controller further configured to perform:
• providing the first and second MR data as input to a trained statistical classifier to obtain corresponding first output and second output;
• and
• determining a degree of change in the midline shift using the first and second output.

At least one non-transitory computer-readable storage medium storing processor-executable instructions that, when executed by at least one computer hardware processor, cause the at least one computer hardware processor to perform a method of detecting change in degree of midline shift in a brain of a patient positioned within a low-field magnetic resonance imaging (MRI) device, the method comprising:

• while the patient remains positioned within the low-field MRI device, wherein the low-field MRI device is portable and operates with a B0 field strength of less than 0.1 T:
• acquiring first magnetic resonance (MR) image data of the patient's brain;
• providing the first MR data as input to a trained statistical classifier to obtain corresponding first output;
• acquiring second MR image data of the patient's brain subsequent to acquiring the first MR image data;
• providing the second MR image data as input to the trained statistical classifier to obtain corresponding second output;
• and
• determining a degree of change in the midline shift using the first and second output.

A system comprising:

• at least one computer hardware processor;
• and
• at least one non-transitory computer-readable storage medium storing processor-executable instructions that, when executed by the at least one computer hardware processor, cause the at least one computer hardware processor to perform a method of detecting change in degree of midline shift in a brain of a patient positioned within a low-field magnetic resonance imaging (MRI) device, the method comprising:
• while the patient remains positioned within the low-field MRI device, wherein the low-field MRI device is portable and operates with a B0 field strength of less than 0.1 T:
• acquiring first magnetic resonance (MR) image data of the patient's brain;
• providing the first MR data as input to a trained statistical classifier to obtain corresponding first output;
• acquiring second MR image data of the patient's brain subsequent to acquiring the first MR image data;
• providing the second MR image data as input to the trained statistical classifier to obtain corresponding second output;
• and
• determining a degree of change in the midline shift using the first and second output.