Automatic measurement of morphometric and motion parameters of the coronary tree from a rotational X-ray sequence

A non-transitory computer readable medium embodying instructions executable by a processor to perform a method for automatic measurement of morphometric and motion parameters of a coronary target, the method comprising:

• receiving input data corresponding to the coronary target;
• extracting reference frames from the input data corresponding to different phases of a cardiac cycle;
• extracting a three-dimensional centerline model for each phase of the cardiac cycle based on the references frames and projection matrices of the coronary target;
• tracking a motion of the coronary target through the phases based on the three-dimensional centerline models;
• and
• determining a measurement of morphologic and motion parameters of the coronary target based on the motion,
• wherein tracking of the motion of the coronary target further comprises:
• computing a gradient vector flow (GVF) using intermediate images computed from a vesselness filter;
• formulating a cost function that ensures fidelity to image observations and smooth and cyclic motion priors;
• and
• updating, iteratively, tracking parameters and/or deformation models using a first order approximation to a cost function, utilizing a set of linear approximations to a nonlinear cost function.

A system for automatic measurement of morphometric and motion parameters of a coronary target comprising:

• a memory device storing a plurality of instructions;
• a processor for receiving input data corresponding to the coronary target and executing the plurality of instructions to perform a method comprising:
• extracting reference frames from the input data corresponding to different phases of a cardiac cycle;
• extracting a three-dimensional centerline model for each phase of the cardiac cycle based on the references frames and projection matrices of the coronary target;
• tracking a motion of the coronary target through the phases based on the three-dimensional centerline models;
• and
• determining a measurement of morphologic and motion parameters of the coronary target based on the motion,
• wherein tracking of the motion of the coronary target further comprises:
• computing a gradient vector flow (GVF) using intermediate images computed from a vesselness filter;
• formulating a cost function that ensures fidelity to image observations and smooth and cyclic motion priors;
• and
• updating, iteratively, tracking parameters and/or deformation models using a first order approximation to a cost function, utilizing a set of linear approximations to a nonlinear cost function.