IP Library Patent Application 16292316
Patent Application
App. No. 16/292,316

Computer Apparatus For Analyzing Multiparametric MRI Maps For Pathologies and Generating Prescriptions

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Quick Facts
Patent No.
US None
App. No.
16/292,316
Abstract

Image processing and analysis technique includes using a computer apparatus to assess a patient's magnetic resonance images or derived multiparametric maps for pathology and then automatically generate a prescription based at least in part on that assessment. The parametric maps are derived from an MRI sequence from which multiparametric maps are derivable.

Claims (56)

1 . A computer apparatus to analyze a patient's multiparametric magnetic resonance imaging (“MRI”) maps for pathology and generate a prescription comprising:

(a) a non-transitory memory storing one or more parametric maps of a patient; the one or more maps derived from an MRI sequence from which multiparametric maps are derivable;

(b) a program stored in the non-transitory memory and operatively configured to analyze the one or more parametric maps for a region including a pathology; and

(c) a computer processor in communication with the non-transitory memory and configured to perform the program by executing computer executable instructions, wherein the program is operatively configured to automatically generate a prescription based at least in part on the analysis of the one or more parametric maps.

2 . The computer apparatus of claim 1 , wherein the one or more parametric maps is derived at least in part from a water-fat separation sequence.

3 . The computer apparatus of claim 1 , wherein the one or more parametric maps are derived from a water-fat separation sequence that uses the iterative decomposition of water and fat with echo asymmetry and least-squares estimation (“IDEAL”) technique and/or the Dixon technique.

4 . The computer apparatus of claim 1 , wherein the one or more parametric maps is derived at least in part from an MRI sequence that uses the gradient and spin echo (“GRASE”) technique.

5 . The computer apparatus of claim 1 , wherein the one or more parametric maps is derived from diffusion-weighted sequencing.

6 . The computer apparatus of claim 1 , wherein the analysis includes a search for at least one pathology selected from the list consisting of:

a) fractures,

b) osteoporosis,

c) metastatic disease,

d) degenerative disease,

e) infarcts, and

f) combinations thereof.

7 . The computer apparatus of claim 1 , wherein the one or more parametric maps include a map selected from the list consisting of:

a) a T2 map describing transverse signal relaxation time affecting image contrast;

b) a T2* map describing signal relaxation caused by magnetic field abnormalities;

c) a T2† map describing cancellous bone-induced intravoxel dephasing;

d) a fat map; and

e) a water map.

8 . The computer apparatus of claim 1 , wherein color-encoding is utilized to encode information from at least two of the MRI maps at once.

9 . The computer apparatus of claim 1 , wherein the prescription directs further imaging.

10 . The computer apparatus of claim 1 , wherein the prescription directs therapy.

11 . The computer apparatus of claim 1 , wherein the prescription directs a notification.

12 . The computer apparatus of claim 1 , wherein the parametric map is derived at least in part from MRI signal changes reflecting administration of a contrast agent to the patient.

13 . A computer system configured to analyze a patient's magnetic resonance images for pathology and generate a prescription, the computer system comprising:

one or more processors; and

one or more hardware storage devices having stored thereon computer-executable instructions which are executable by the one or more processors to cause the computer system to at least:

(a) receive magnetic resonance images of a patient;

(b) derive one or more MRI parametric maps from the magnetic resonance images;

(c) analyze one or more derived parametric maps for a region including a pathology; and

(d) automatically generate a prescription based at least in part on the analysis of the one or more derived parametric maps.

14 . The computer system of claim 13 , wherein at least a portion of the magnetic resonance images received are contrast enhanced images associated with the administration of a contrast agent and the parametric map is derived at least in part based on MRI signal changes reflecting administration of the contrast agent.

15 . The computer system of claim 13 , wherein the one or more parametric maps is derived at least in part from a water-fat separation sequence that uses the IDEAL technique or the Dixon technique.

16 . The computer system of claim 13 , wherein the one or more parametric maps is derived at least in part from an MRI sequence that uses the gradient and spin echo (“GRASE”) technique.

17 . The computer system of claim 13 , wherein the one or more parametric maps is derived from diffusion-weighted sequencing.

18 . The computer system of claim 13 , wherein the analysis includes a search for at least one pathology selected from the list consisting of:

a) fractures,

b) osteoporosis,

c) metastatic disease,

d) degenerative disease,

e) infarcts, and

f) combinations thereof.

19 . The computer system of claim 13 , wherein the one or more parametric maps include a map selected from the list consisting of:

a) a T2 map including transverse signal relaxation time affecting image contrast;

b) a T2* map including signal relaxation caused by magnetic field abnormalities;

c) a T2† map including cancellous bone-induced intravoxel dephasing;

d) a fat map; and

e) a water map.

20 . The computer system of claim 13 , wherein color-encoding is utilized to encode information from at least two of the MRI maps at once.

21 . The computer system of claim 13 , wherein the prescription directs further imaging.

22 . The computer system of claim 13 , wherein the prescription directs therapy.

23 . The computer system of claim 13 , wherein the prescription directs a notification.

24 . The computer system of claim 13 , wherein the prescription is generated while patient is still on the MRI scan table.

25 . The computer system of claim 13 , wherein the computer-executable instructions are derived at least in part utilizing machine learning.