Using cardiac motion for beat-to-beat optimisation of varying and constant fractions of cardiac cycles in segmented k-space mri acquisitions
AssigneesSiemens Healthcare GmbH, Guy's and St. Thomas' NHS Foundation Trust
InventorsPeter SPEIER, Peter GATEHOUSE
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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.
Claims21
A computer-implemented method, comprising:
- receiving a first time series of data values associated with a first cardiac cycle of a plurality of cardiac cycles;
- scaling the first time series to a reference time length of a reference cardiac cycle, wherein the scaling includes applying a model to the first time series to generate a first scaled time series of data values associated with the first cardiac cycle;
- and
- determining model parameters of the model based on the first scaled time series.
A medical system comprising:
- a controller including at least one processor and a memory, the memory storing control information executable by the at least one processor, wherein
- the at least one processor is 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 of a plurality of cardiac cycles,
- scale the first time series to a reference time length of a reference cardiac cycle, wherein the first time series is scaled by applying a model to the first time series to generate a first scaled time series of data values associated with the first cardiac cycle, and
- determine model parameters of the model based on the first scaled time series.
Dependencies are inferred from the claim text.