Method and system for computer-aided aneurysm triage
A system for computer-aided triage includes and/or interfaces with a computing system. A method for computer-aided triage includes receiving a data packet including a set of images; and processing the set of images to determine a suspected condition and/or associated features. Additionally or alternatively, the method can include any or all of: preprocessing the set of images; triggering an action based on the suspected condition and/or associated features; determining a recipient based on the suspected condition; preparing a data packet for transfer; transmitting information to a device associated with the recipient; receiving an input from the recipient and triggering an action based on the input; aggregating data; and/or any other suitable processes.
1 . A method for computer-aided detection and decision-making associated with a suspected pathology, the method comprising:
receiving a set of images associated with a patient;
processing the set of images with a set of trained models to automatically identify a set of suspected aneurysms; and
for each suspected aneurysm in the set of suspected aneurysms:
determining a set of measurements for the suspected aneurysm; and
annotating the set of images, comprising coloring a region of the set of images based on a size threshold, the set of measurements, and a location of the suspected aneurysm.
2 . The method of claim 1 , wherein, for each suspected aneurysm, the region of the set of images is further colored based on a second size threshold.
3 . The method of claim 1 , wherein, for each suspected aneurysm, the size threshold comprises at least one of a diameter threshold or a volume threshold.
4 . The method of claim 1 , wherein, for each suspected aneurysm, annotating the set of images further comprises annotating the set of images with the set of measurements.
5 . The method of claim 4 , wherein, for each suspected aneurysm, the set of measurements comprises a volume of the suspected aneurysm.
6 . The method of claim 5 , wherein, for each suspected aneurysm, the volume is determined based on a probability score associated with each voxel corresponding to the suspected aneurysm.
7 . The method of claim 1 , further comprising predicting a feature of a suspected aneurysm in the set of suspected aneurysms, the feature corresponding to a future time.
8 . The method of claim 1 , wherein the first set of images are associated with a first time, the method further comprising:
receiving a second set of images associated with a patient, the second set of images associated with a second time, wherein the set of suspected aneurysms have progressed between the first time and the second time; and
determining a comparison based on the first set of images and the second set of images.