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US 12,076,111 B2Granted
Using cardiac motion for beat-to-beat optimisation of varying and constant fractions of cardiac cycles in segmented k-space MRI acquisitions
AssigneesSiemens Healthineers AG, Guy's and St. Thomas' NHS Foundation Trust
InventorsPeter Speier, Peter Gatehouse
Life of this patent
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Abstract
A method for adapting, per cardiac cycle, the parameters governing interpolation of varying and non-interpolation of fixed fractions of each individual cardiac cycle is provided. A time series of data values associated with a cardiac cycle is received, and the time series is scaled to a reference cardiac cycle, wherein the scaling includes applying a model to the time series to generate a scaled time series of data values associated with the first cardiac cycle. The model is trained using the scaled time series.
Claims22
A computer-implemented method, comprising:
- receiving a first time series of data values associated with a first cardiac cycle;
- scaling the first time series of data values to a reference time length of a reference cardiac cycle, the scaling including applying a model to the first time series of data values to generate a first scaled time series of data values associated with the first cardiac cycle;
- receiving a second time series of data values associated with a second cardiac cycle, at least one of the first time series of data values or the second time series of data values includes a Magnetohydrodynamic effect a patient;
- scaling the second time series of data values to the reference time length of the reference cardiac cycle, the scaling the second time series including applying the model to the second time series of data values to generate a second scaled time series of data values associated with the second cardiac cycle;
- and
- determining model parameters of the model based on a difference between the first scaled time series of data values and the second scaled time series of data values.
3 more elements
A medical system comprising:
- a memory storing control information;
- and
- at least one processor
- configured to execute the control information to cause the medical system to
- receive a first time series of data values associated with a first cardiac cycle,
- scale the first time series of data values to a reference time length of a reference cardiac cycle, the first time series being scaled by applying a model to the first time series of data values to generate a first scaled time series of data values associated with the first cardiac cycle,
- receive a second time series of data values associated with a second cardiac cycle, at least one of the first time series of data values or the second time series of data values includes a Magnetohydrodynamic effect in a patient,
- scale the second time series of data values to the reference time length of the reference cardiac cycle, the second time series being scaled by applying the model to the second time series of data values to generate a second scaled time series of data values associated with the second cardiac cycle, and
- determine model parameters of the model based on a difference between the first scaled time series of data values and the second scaled time series of data values.
6 more elements
A computer-implemented method, comprising:
- receiving a first time series of data values associated with a first cardiac cycle;
- scaling the first time series of data values to a reference time length of a reference cardiac cycle, the scaling including applying a model to the first time series of data values to generate a first scaled time series of data values associated with the first cardiac cycle;
- receiving a second time series of data values associated with a second cardiac cycle, at least one of the first time series of data values or the second time series of data values including data values of a measurement signal, and the measurement signal being an Electrocardiography measurement signal including signal characteristics caused by a cardiac movement of a patient;
- scaling the second time series of data values to the reference time length of the reference cardiac cycle, the scaling the second time series including applying the model to the second time series of data values to generate a second scaled time series of data values associated with the second cardiac cycle;
- and
- determining model parameters of the model based on a difference between the first scaled time series of data values and the second scaled time series of data values.
3 more elements
A medical system comprising:
- a memory storing control information;
- and
- at least one processor configured to execute the control information to cause the medical system to
- receive a first time series of data values associated with a first cardiac cycle,
- scale the first time series of data values to a reference time length of a reference cardiac cycle, the first time series being scaled by applying a model to the first time series of data values to generate a first scaled time series of data values associated with the first cardiac cycle,
- receive a second time series of data values associated with a second cardiac cycle, at least one of the first time series of data values or the second time series of data values including data values of a measurement signal, and the measurement signal being an Electrocardiography measurement signal including signal characteristics caused by a cardiac movement of a patient,
- scale the second time series of data values to the reference time length of the reference cardiac cycle, the second time series being scaled by applying the model to the second time series of data values to generate a second scaled time series of data values associated with the second cardiac cycle, and
- determine model parameters of the model based on a difference between the first scaled time series of data values and the second scaled time series of data values.
5 more elements
Dependencies are inferred from the claim text.