Automated breast density assessment for full-field digital mammography and digital breast tomosynthesis
OwnerShu Jiang, Graham Colditzinventors
Life of this patent
Estimating the term…
Abstract
A computer implemented method of estimating tissue density of a body part of a subject from a medical image of tissue of the body part of the subject includes receiving at least one medical image of tissue of the body part of the subject, the received medical image being from a first imaging modality or a second imaging modality, estimating tissue density of the body part from the at least one medical image using a deep-learning model pretrained using images from the first imaging modality and images from the second imaging modality, and outputting an estimate of tissue density of the body part of the subject based on the tissue density estimated by the deep-learning model.
Claims20
A computer implemented method of estimating tissue density of a body part of a subject from a medical image of tissue of the body part of the subject, the method comprising:
- receiving at least one medical image of tissue of the body part of the subject, the received medical image being from a first imaging modality or a second imaging modality;
- estimating tissue density of the body part from the at least one medical image using a deep-learning model pretrained using images from the first imaging modality and images from the second imaging modality;
- and
- outputting an estimate of tissue density of the body part of the subject based on the tissue density estimated by the deep-learning model.
A system for estimating breast tissue density of a subject from a medical image of tissue of a breast of the subject, the system comprising a computing device having a processor and a memory, the memory storing instructions that cause the processor to:
- receive at least one medical image of tissue of the breast of the subject, the received medical image being an image from a first imaging modality or a second imaging modality;
- estimate breast tissue density from the at least one medical image using a deep-learning model pretrained using images from the first imaging modality and images from the second imaging modality;
- and
- output an estimate of the breast tissue density of the subject.
A method of estimating breast tissue density of a subject from at least one medical image of tissue of a breast of the subject, the method comprising:
- receiving a plurality of first images acquired using a first imaging modality, the plurality of first images including at least one image of breast tissue for each first subject of a plurality of first subjects and a breast tissue density of each first subject having been previously determined;
- training a deep-learning model on the first plurality of images and the previously determined breast tissue density for each first subject;
- receiving a plurality of second images acquired using a second imaging modality, the plurality of second images including at least one image of breast tissue for each second subject of a plurality of second subjects and a breast tissue density of each second subject having been previously determined;
- further training the deep-learning model on the second plurality of images and the previously determined breast tissue density for each second subject;
- receiving at least one medical image of tissue of the breast of the subject;
- inputting the at least one medical image of tissue of the breast of the subject into the further trained deep-learning model;
- and
- receiving an estimated breast tissue density for the subject output by the further trained deep-learning model.
Dependencies are inferred from the claim text.