Automated determination of pediatric lower limb alignment
AssigneeThe University of British Columbia
InventorsAnthony Cooper, Yousif Murad
Life of this patent
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Abstract
Systems and methods for performing a pediatric lower limb alignment assessment by: receiving a pediatric lower limb radiographic image; identifying a plurality of regions of interest in the radiographic image using a first artificial intelligence model such that each one of the plurality of regions of interest contains at least one of a plurality of anatomical features of interest; determining a plurality of landmark locations for each one of the plurality of identified regions of interest in the radiographic image using a second AI model; and calculating one or more parameter values representative of the pediatric lower limb alignment based on a geometric relationship between the plurality of landmark locations.
Claims20
A pediatric lower limb alignment assessment method, the method comprising:
- receiving a pediatric lower limb radiographic image;
- identifying a plurality of regions of interest (ROIs) in the radiographic image using a first artificial intelligence (AI) model, each one of the plurality of ROIs containing at least one of a plurality of anatomical features of interest, each anatomical feature of interest comprising a respective portion of a bone;
- determining a plurality of landmark locations for each one of the plurality of identified ROIs in the radiographic image using a second AI model, each landmark location corresponding to a position within a respective anatomical feature of interest;
- and
- calculating at least one parameter value representative of the pediatric lower limb alignment based on a geometric relationship between the plurality of landmark locations.
A system for determining a parameter value of lower limb alignment, the system comprising one or more processing units configured to perform pediatric lower limb alignment assessment method, the method comprising:
- receiving a pediatric lower limb radiographic image;
- identifying a plurality of regions of interest (ROIs) in the radiographic image using a first artificial intelligence (AI) model, each one of the plurality of ROIs containing at least one of a plurality of anatomical features of interest, each anatomical feature of interest comprising a respective portion of a bone;
- determining a plurality of landmark locations for each one of the plurality of identified ROIs in the radiographic image using a second AI model, each landmark location corresponding to a position within a respective anatomical feature of interest;
- and
- calculating at least one parameter value representative of the pediatric lower limb alignment based on a geometric relationship between the plurality of landmark locations.
A non-transitory computer-readable medium having computer readable instructions stored thereon, which, when executed by one or more processing units, causes the one or more processing units to perform a pediatric lower limb alignment assessment method, the method comprising:
- receiving a pediatric lower limb radiographic image;
- identifying a plurality of regions of interest (ROIs) in the radiographic image using a first artificial intelligence (AI) model, each one of the plurality of ROIs containing at least one of a plurality of anatomical features of interest, each anatomical feature of interest comprising a respective portion of a bone;
- determining a plurality of landmark locations for each one of the plurality of identified ROIs in the radiographic image using a second AI model, each landmark location corresponding to a position within a respective anatomical feature of interest;
- and
- calculating at least one parameter value representative of the pediatric lower limb alignment based on a geometric relationship between the plurality of landmark locations.
Dependencies are inferred from the claim text.