COMPUTERIZED CHARACTERIZATION OF CARDIAC MOTION IN MEDICAL DIAGNOSTIC ULTRASOUND
First Claim
1. A method for computerized characterization of cardiac motion from ultrasound data in an automatic manner, the method comprising:
- obtaining a sequence of frames of ultrasound data, the frames representing a volume of a patient at different times;
identifying, with a processor, a myocardium in a first frame;
estimating, with the processor, non-rigid deformation of a myocardium through the sequence, the estimating being a function of a machine-learned model of the intensity, speckle patterns, or intensity and speckle patterns specific to the left ventricle myocardium using discriminative classifiers, the machine-learned model comprising a motion prior, and being a function of volumetric tracking of the myocardium from the first frame to a second frame of the sequence of the frames; and
calculating, with the processor, a first myocardial mechanical quantity as a function of the non-rigid deformation, the first myocardial mechanical quantity projected to a Cartesian coordinate system and a local heart coordinate system.
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Abstract
Computerized characterization of cardiac wall motion is provided. Quantities for cardiac wall motion are determined from a four-dimensional (i.e., 3D+time) sequence of ultrasound data. A processor automatically processes the volume data to locate the cardiac wall through the sequence and calculate the quantity from the cardiac wall position or motion. Various machine learning is used for locating and tracking the cardiac wall, such as using a motion prior learned from training data for initially locating the cardiac wall and the motion prior, speckle tracking, boundary detection, and mass conservation cues for tracking with another machine learned classifier. Where the sequence extends over multiple cycles, the cycles are automatically divided for independent tracking of the cardiac wall. The cardiac wall from one cycle may be used to propagate to another cycle for initializing the tracking. Independent tracking in each cycle may reduce or avoid inaccuracies due to drift.
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Citations
20 Claims
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1. A method for computerized characterization of cardiac motion from ultrasound data in an automatic manner, the method comprising:
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obtaining a sequence of frames of ultrasound data, the frames representing a volume of a patient at different times; identifying, with a processor, a myocardium in a first frame; estimating, with the processor, non-rigid deformation of a myocardium through the sequence, the estimating being a function of a machine-learned model of the intensity, speckle patterns, or intensity and speckle patterns specific to the left ventricle myocardium using discriminative classifiers, the machine-learned model comprising a motion prior, and being a function of volumetric tracking of the myocardium from the first frame to a second frame of the sequence of the frames; and calculating, with the processor, a first myocardial mechanical quantity as a function of the non-rigid deformation, the first myocardial mechanical quantity projected to a Cartesian coordinate system and a local heart coordinate system. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. In a non-transitory computer readable storage media having stored therein data representing instructions executable by a programmed processor for characterizing cardiac motion from ultrasound information, the storage media comprising instructions for:
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obtaining a sequence of frames of ultrasound data, the frames representing a volume of a patient at different times; identifying first and second cycles of the heart from the sequence of the frames of the ultrasound data; propagating a first location of a myocardium from a first frame of the frames of the first cycle to a second location of the myocardium in a second frame of the frames of the second cycle, the second location being an initial location of the myocardium used in volumetric tracking of the myocardium through the frames of the second cycle. - View Dependent Claims (12, 13, 14, 15)
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16. In a non-transitory computer readable storage media having stored therein data representing instructions executable by a programmed processor for characterizing cardiac motion from ultrasound information in an automatic manner, the storage media comprising instructions for:
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locating a heart wall from a first frame of ultrasound data in a sequence representing the heart wall in three dimensions, the locating being a function of a first machine-learned knowledge of the heart wall represented in training data; tracking the heart wall automatically through the sequence, the tracking being a function of a second machine-learned knowledge of a plurality of cues, the plurality of cues including the first machine-learned knowledge with speckle tracking, boundary detection, mass conservation, a motion prior; and calculating a cardiac parameter, statistical index of the cardiac motion, or both the cardiac parameter and the statistical index of the cardiac motion as a function of the tracking. - View Dependent Claims (17, 18, 19, 20)
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Specification