Automated wall motion quantification in aortic dissections
AssigneeThe Methodist Hospital
InventorsChristof Karmonik, Alan B. Lumsden
Life of this patent
Estimating the term…
Abstract
A method of processing MRI images to determine one or more attributes of an anatomical feature.
Claims56
A computer implemented method of processing MRI images to determine one or more characteristics of an anatomical feature, comprising:
- obtaining one or more first MRI images of the anatomical feature;
- identifying a boundary of an anatomical feature in the MRI images;
- and
- using the identified boundary to mask one or more corresponding second MRI images of the anatomical feature to isolate the anatomical feature within the second MRI images.
A computer program for processing MRI images to determine one or more characteristics of an anatomical feature, comprising instructions for:
- obtaining one or more first MRI images of the anatomical feature;
- identifying a boundary of an anatomical feature in the MRI images;
- and
- using the identified boundary to mask one or more corresponding second MRI images of the anatomical feature to isolate the anatomical feature within the second MRI images.
A graphical user interface for a computer display, comprising:
- an MRI image including an anatomical feature;
- and
- a graphical display of a boundary of the anatomical feature overlayed on the MRI image.
A computer implemented method for processing MRI images, comprising:
- displaying an MRI image including an anatomical feature;
- calculating a boundary of the anatomical feature using the MRI image;
- and
- displaying the calculated boundary of the anatomical feature overlayed onto the MRI image.
A computer program for processing MRI images, comprising instructions for:
- displaying an MRI image including an anatomical feature;
- calculating a boundary of the anatomical feature using the MRI image;
- and
- displaying the calculated boundary of the anatomical feature overlayed onto the MRI image.
A computer implemented method for processing MRI images to diagnose an acute aortic dissection in a patient, comprising:
- obtaining an MRI image of the aorta of the patient;
- calculating a boundary of the lumen of the aorta MRI image;
- and
- determining a degree of displacement of the lumen boundary of the MRI image of the aorta during a cardiac cycle;
- and
- if the degree of displacement is greater than a threshold value, then diagnosing that the patient has an acute aortic dissection.
A computer program for processing MRI images to diagnose an acute aortic dissection in a patient, comprising instructions for:
- obtaining an MRI image of the aorta of the patient;
- calculating a boundary of the lumen of the aorta MRI image during the cardiac cycle;
- and
- determining a degree of displacement of the lumen boundary of the MRI image of the aorta during the cardiac cycle;
- and
- if the degree of displacement is greater than a threshold value, then diagnosing that the patient has an acute aortic dissection.
A computer implemented method for processing MRI images to diagnose a cerebral aneurysm in a patient, comprising:
- obtaining an MRI image of the cerebral aneurysm of the patient;
- calculating a boundary of the lumen of the cerebral aneurysm MRI image;
- and
- determining a degree of displacement of the lumen boundary of the MRI image of the cerebral aneurysm during a cardiac cycle;
- and
- if the degree of displacement is greater than a threshold value, then diagnosing that the patient has an cerebral aneurysm.
A computer program for processing MRI images to diagnose an cerebral aneurysm in a patient, comprising instructions for:
- obtaining an MRI image of the cerebral aneurysm of the patient;
- calculating a boundary of the lumen of the cerebral aneurysm MRI image during the cardiac cycle;
- and
- determining a degree of displacement of the lumen boundary of the MRI image of the cerebral aneurysm during the cardiac cycle;
- and
- if the degree of displacement is greater than a threshold value, then diagnosing that the patient has a cerebral aneurysm.
Dependencies are inferred from the claim text.