# US 11,026,636 B2 · Method for generating a medical data set of a moving body part > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 11,026,636 B2 - Document ID: US11026636B2 - Status: Granted - Kind: B2 - Application number: 16/001,649 - Filed: 2018-06-06 - Published: 2018-12-13 - Granted: 2021-06-08 - Earliest claimed: 2017-06-08 - Assignees: Siemens Healthcare GmbH - Applicants: Siemens Healthcare GmbH - Inventors: Peter Speier; Mario Bacher; Michaela Schmidt - Web page: https://patentgrep.com/patent/US11026636B2 ## CPC - A61B 5/7285: {for synchronizing or triggering a physiological measurement or image acquisition with a physiological event or waveform, e.g. an ECG signal} - A61B 5/02444: {Details of sensor (A61B5/02427 takes precedence)} - A61B 5/055: involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging - A61B 5/1107: {Measuring contraction of parts of the body, e.g. organ or muscle} - A61B 5/7246: {using correlation, e.g. template matching or determination of similarity} - A61B 5/725: {using specific filters therefor, e.g. Kalman or adaptive filters (specific diagnostics methods using using bioelectric or biomagnetic signals A61B5/316)} - A61B 5/7292: {Prospective gating, i.e. predicting the occurrence of a physiological event for use as a synchronisation signal} - G01R 33/56341: {Diffusion imaging} - G01R 33/5676: {Gating or triggering based on an MR signal, e.g. involving one or more navigator echoes for motion monitoring and correction} - A61B 5/0044: {for the heart} - A61B 5/352: Detecting R peaks, e.g. for synchronising diagnostic apparatus; Estimating R-R interval - G01R 33/56509: {due to motion, displacement or flow, e.g. gradient moment nulling (G01R33/567 takes precedence)} - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) - G01R: MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES (indicating correct tuning of resonant circuits H03J3/12) ## Abstract A method is provided for generating a medical data set of a moving part of the human or animal body undergoing a cyclical movement such as cardiac movement. A raw data signal acquired by a magnetic resonance receiver coil arrangement is received. A magnetic resonance signal and a movement signal are separated from the raw data signal. At least two physiological phases of the moving body part are automatically assigned to the movement signal. The automatic assignment does not introduce a delay between the movement signal and the magnetic resonance signal. Time points used for triggering an acquisition of the magnetic resonance signal and/or for data post-processing of the magnetic resonance signal are determined or set. ## Claims ### Claim 1 A method for generating a magnetic resonance image of a moving body part that is undergoing a movement cycle, the method comprising: receiving a raw data signal acquired by a magnetic resonance receiver coil arrangement; separating a magnetic resonance signal and a movement signal from the raw data signal, wherein the movement signal is derived from, describes, or is derived from and describes a mechanical activity of the moving body part within the movement cycle, wherein the movement signal is a cardiac component of a Pilot Tone signal; automatically assigning at least two physiological phases of the moving body part to the movement signal, wherein the automatic assignment does not introduce a delay between the movement signal and the magnetic resonance signal; and automatically determining, setting, or determining and setting one or more time points for triggering an acquisition of the magnetic resonance signal, for processing of an acquired magnetic resonance signal, or for triggering the acquisition of the magnetic resonance signal and for processing of the acquired magnetic resonance signal; generating the magnetic resonance image using the one or more time points and the acquired magnetic resonance signal, the processed acquired magnetic resonance signal, or the acquired magnetic resonance signal and the processed acquired magnetic resonance signal. ### Claim 2 (depends on 1) The method of claim 1, wherein the automatic determination is based on template-based feature detection, model-based feature detection, or template-based feature detection and model-based feature detection within the movement signal. ### Claim 3 (depends on 1) The method of claim 1, wherein a first derivative, a second derivative, or the first derivative and second derivative of the movement signal are provided and used in the automatic determining, setting, or determining and setting of the one or more time points. ### Claim 4 (depends on 1) The method of claim 1, further comprising: defining, prior to the automatic determining, a physiological phase or a point of interest at which the one or more time points are to be set in the movement signal. ### Claim 5 (depends on 1) The method of claim 1, wherein the one or more time points are determined at any arbitrary physiological phase or point of interest in the movement signal. ### Claim 6 (depends on 1) The method of claim 1, wherein at least one time point for triggering of the one or more time points is automatically set in an R-R interval preceding a cardiac cycle during which a corresponding magnetic resonance signal is acquired. ### Claim 7 (depends on 6) The method of claim 6, wherein the acquisition of the magnetic resonance signal requires a long preparation period, and at least one time point for triggering a preparation pulse is automatically set during a diastolic phase preceding a systolic state. ### Claim 8 (depends on 7) The method of claim 7, wherein the at least one time point for triggering a preparation pulse is moved along the cardiac cycle for different repetitions of magnetic resonance sequence, or for an acquisition of different sub-sections of k-Space. ### Claim 9 (depends on 1) The method of claim 1, wherein the one or more time points for processing are set at an end-systolic point, or an end-diastolic time point, or the end-systolic point and the end-diastolic time point. ### Claim 10 (depends on 1) The method of claim 1, wherein the one or more time points are set at time points of average strain in order to place strain sensitive measurements at the time points of average strain. ### Claim 11 (depends on 10) The method of claim 10, wherein the strain sensitive measurements are diffusion measurements. ### Claim 12 (depends on 1) The method of claim 1, wherein the one or more time points are set at optimal time points for motion sensitive dark blood preparation. ### Claim 13 (depends on 12) The method of claim 12, wherein the optimal time points for motion sensitive dark blood preparation are time points of maximum slope in the movement signal or of maximum second order derivative of the movement signal. ### Claim 14 (depends on 1) The method of claim 1, wherein the one or more time points for processing are used for matching a time resolution of retro-gated cinematic or cine images such that underestimation of cardiac activity is avoided. ### Claim 15 (depends on 1) The method of claim 1, wherein the one or more time points for triggering or processing of magnetic resonance signal acquired across multiple heart beats are set according to features of the movement signal. ### Claim 16 A non-transitory computer-readable storage medium storing instructions executable by a controller to generate an image of a moving part of a human undergoing a cardiac movement, the instructions comprising: receiving a raw data signal acquired by a magnetic resonance receiver coil arrangement; separating a magnetic resonance signal and a movement signal from the raw data signal, wherein the movement signal is derived from and describes a mechanical activity of the moving part within a movement cycle, wherein the movement signal is a cardiac component of a Pilot Tone signal; automatically assigning at least two physiological phases of the moving part to the movement signal, wherein the automatic assignment does not introduce a delay between the movement signal and the magnetic resonance signal; automatically determining time points for triggering an acquisition of the magnetic resonance signal for processing of the magnetic resonance signal, or for triggering the acquisition and processing of the magnetic resonance signal; and automatically generating the image using the time points and the acquired magnetic resonance signal, the processed acquired magnetic resonance signal, or the acquired magnetic resonance signal and the processed acquired magnetic resonance signal. ### Claim 17 (depends on 16) The non-transitory computer-readable storage medium of claim 16, wherein the automatic determination is based on template-based feature detection, model-based feature detection, or template-based feature detection and model-based feature detection within the movement signal. ### Claim 18 (depends on 16) The non-transitory computer-readable storage medium of claim 16, wherein a first derivative, a second derivative, or the first derivative and the second derivative of the movement signal is provided and used in the automatic determination of the one or more time points. ### Claim 19 (depends on 16) The non-transitory computer-readable storage medium of claim 16, wherein at least one time point for triggering of the one or more time points is automatically set in an R-R interval preceding a cardiac cycle during which a corresponding magnetic resonance signal is acquired. ### Claim 20 An apparatus for generating an image of a moving part of a human undergoing a cardiac movement, the apparatus comprising: a magnetic resonance scanner configured to acquire a raw data signal; a computer device associated with the magnetic resonance scanner, the computer device configured to: separate a magnetic resonance signal and a movement signal from the raw data signal, wherein the movement signal is derived from and describes a mechanical activity of the moving part within a movement cycle, and wherein the movement signal is a cardiac component of a Pilot Tone signal; automatically assign at least two physiological phases of the moving part to the movement signal, wherein the automatic assignment does not introduce a delay between the movement signal and the magnetic resonance signal; automatically determine, set, or determine and set one or more time points for triggering an acquisition of the magnetic resonance signal, for processing of the magnetic resonance signal, or for triggering the acquisition of the magnetic resonance signal and for processing of the magnetic resonance signal; and automatically generate the image using the one or more time points and the acquired magnetic resonance signal or the processed acquired magnetic resonance signal.