Real-time estimation of local cardiac tissue properties and uncertainties based on imaging and electro-anatomical maps

An apparatus comprising:

• means for receiving input medical images;
• means for computing a plurality of metrics for a disease for each of the input medical images;
• and
• means for clustering the input medical images into a plurality of clusters based on one or more of the plurality of metrics to classify the input medical images, the plurality of clusters comprising:
• a cluster of one or more of the input medical images associated with the disease, and
• one or more clusters of one or more of the input medical images not associated with the disease.

A non-transitory computer readable medium storing computer program instructions, the computer program instructions when executed by a processor cause the processor to perform operations comprising:

• receiving input medical images;
• computing a plurality of metrics for a disease for each of the input medical images;
• and
• clustering the input medical images into a plurality of clusters based on one or more of the plurality of metrics to classify the input medical images, the plurality of clusters comprising:
• a cluster of one or more of the input medical images associated with the disease, and
• one or more clusters of one or more of the input medical images not associated with the disease.

A computer implemented method comprising:

• receiving an input medical image of lungs of a patient;
• segmenting the lungs from the input medical image;
• generating a probability map for abnormality patterns associated with a disease from the input medical image;
• and
• determining a classification of the input medical image based on the segmented lungs and the probability map, the classification representing whether the input medical image is associated with the disease.

As apparatus comprising:

• means for receiving an input medical image of lungs of a patient;
• means for segmenting the lungs from the input medical image;
• means for generating a probability map for abnormality patterns associated with a disease from the input medical image;
• and
• means for determining a classification of the input medical image based on the segmented lungs and the probability map, the classification representing whether the input medical image is associated with the disease.

A non-transitory computer readable medium storing computer program instructions, the computer program instructions when executed by a processor cause the processor to perform operations comprising:

• receiving an input medical image of lungs of a patient;
• segmenting the lungs from the input medical image;
• generating a probability map for abnormality patterns associated with a disease from the input medical image;
• and
• determining a classification of the input medical image based on the segmented lungs and the probability map, the classification representing whether the input medical image is associated with the disease.