US 2022/0035489 A1 · MACHINE LEARNING METHODS FOR MONITORING A USER'S INTERACTION WITH 3D MEDICAL IMAGES

Abstract

There is provided a method for monitoring interaction with 3D medical images, comprising: dividing the 3D image into a sequence of a 2D images, arranging the sequence into slabs each including at least one 2D image, computing, for each respective slab, a minimal amount of viewing time a user is predicted to spend viewing the respective slab, monitoring, while the 3D medical image is presented on a display, an amount of time a user actually spent viewing portions of the 3D medical image corresponding to each of the of slabs, in response to the amount of time spent viewing a certain portion of the 3D medical image being less than the computed minimal amount of viewing time of a certain slab corresponding to the certain portion, generating instructions for implementation by a user interface indicative of the amount of time spent being less than the computed minimal amount of time.

Claims20

Dependent claims

A computer implemented method for monitoring a user's interaction with 3D medical images, comprising:

receiving a 3D medical image;
dividing the 3D medical image into a sequence of a plurality 2D images;
arranging the sequence into a plurality of slabs each including at least one 2D image;
computing, for each respective slab, a minimal amount of viewing time a user is predicted to spend viewing the respective slab;
monitoring, while the 3D medical image is presented on a display, an amount of time a user actually spent viewing portions of the 3D medical image corresponding to each of the plurality of slabs;
in response to the amount of time spent viewing a certain portion of the 3D medical image being less than the computed minimal amount of viewing time of a certain slab corresponding to the certain portion, generating instructions for implementation by a user interface indicative of the amount of time spent being less than the computed minimal amount of time.

3 more elements

A computer implemented method for monitoring a user's interaction with real time 2D medical images, comprising:

in a plurality of iterations:
receiving a 2D medical image captured in real time;
analyzing the 2D medical image to determine whether the 2D medical image represents an end of a slab including at least one of a previously obtained sequence of 2D images;
computing a minimal amount of viewing time a user should spend viewing the slab;
monitoring, while the 2D medical image and the previously obtained sequence of 2D images are presented on a display, an amount of time a user actually spent viewing portions of the 2D medical image and the previously obtained sequence of 2D images corresponding to the slab;
in response to the amount of time spent actually spent being less than the computed minimal amount of viewing time, presenting instructions on the display to spend additional time viewing additional 2D images captured from an anatomical region of a subject corresponding to the slab.

3 more elements

Dependencies are inferred from the claim text.

Machine learning methods for monitoring a user's interaction with 3d medical images

Life of this patent

Machine learning methods for monitoring a user's interaction with 3d medical images

Life of this patent

Abstract

Claims20