US 11,232,859 B2 · Artificial intelligence for basal and apical slice identification in cardiac MRI short axis acquisitions

Abstract

The application relates to a computer implemented method for determining a basal and an apex plane in a set of Magnetic Resonance, MR, image slices of a heart, wherein the set of MR image slices comprises short axis views of the heart obtained over the heartbeat. The set of MR image slices is applied to a multitask deep learning artificial intelligence Model which is configured to identify a basal plane slice and an apex plane slice on the applied set of image slices, wherein the multitask deep learning artificial intelligence model is further configured to determine at least one further parameter of cardiac anatomy or of a cardiac function. A first output of the multitask deep learning artificial intelligence Model is determined as the apex plane slice and a second output as the basal plane slice. At least one further output of the multitask deep learning artificial intelligence Model is determined as the at least one further parameter of the cardiac anatomy or of the cardiac function.

Claims16

Dependent claims

A computer implemented method for determining a basal and an apex plane in a set of Magnetic Resonance, MR, image slices of a heart, the method comprising:

obtaining the set of MR image slices of the heart, wherein the set of MR image slices comprises short axis views of the heart obtained over the heartbeat,
applying the set of MR image slices to a multitask deep learning artificial intelligence Model which is configured to identify a basal plane slice and an apex plane slice on the applied set of image slices, wherein the multitask deep learning artificial intelligence model is further configured to determine at least one further parameter of cardiac anatomy or of a cardiac function,
determining a first output of the multitask deep learning artificial intelligence Model as the apex plane slice and a second output as the basal plane slice,
determining at least one further output of the multitask deep learning artificial intelligence Model as the at least one further parameter of the cardiac anatomy or of the cardiac function.

1 more element

A device comprising:

a memory configured to store a multitask deep learning artificial intelligence Model,
circuitry operatively coupled to the memory configured to perform operations comprising:
obtain a set of MR image slices of the heart, wherein the set of MR image slices comprises short axis views of the heart obtained over the heartbeat,
apply the set of MR image slices to the multitask deep learning artificial intelligence Model which is configured to identify a basal plane slice and an apex plane slice on the applied set of image slices, wherein the multitask deep learning artificial intelligence model is further configured to determine at least one further parameter of cardiac anatomy or of a cardiac function,
determine a first output of the multitask deep learning artificial intelligence Model as an apex plane slice and a second output as a basal plane slice,
determine at least one further output of the multitask deep learning artificial intelligence Model as the at least one further parameter of the cardiac anatomy or of the cardiac function.

3 more elements

Dependencies are inferred from the claim text.

Artificial intelligence for basal and apical slice identification in cardiac MRI short axis acquisitions

Life of this patent

Artificial intelligence for basal and apical slice identification in cardiac MRI short axis acquisitions

Life of this patent

Abstract

Claims16