62/247,778 January 2016 X. Ni
U.S. Pat. No. 8,406,848 B2 March 2013 Wu et al.
U.S. Pat. No. 8,553,956 B2 August 2013 Wu et al.
A magnetocardiography (MCG) motion picture is derived by measuring the magnetic fields at 6×6 locations on a same plane above the heart by very sensitive sensors of the MCG.
The measured magnetic field data are used to reconstruct the current dipole sources of interest. The space positions and orientations of the current dipoles can be determined in certain precision related to the fixed sensors plane of the MCG above the heart.
An echocardiography (ECOCG) motion picture is derived by an ECOCG using ultrasonic scanning. The beating heart images can be seen very clearly frame by frame during a cardiac circle. To locate the current dipole sources from the MCG onto the heart images of the ECOCG will be useful for the doctors.
The difficulty is that the space locations and orientations of the heart images from the ECOCG are uncertain due to the operation.
To locate the current dipole sources from a MCG onto a simultaneously beating heart images from an ECOCG, it needs to calibrate the space locations and orientations for the two motion pictures.
A method of calibration of two motion pictures from MCG and ECOCG is accomplished here.
To combine the two motion pictures of MCG and ECOCG it needs to locate the current dipole sources from a MCG onto a simultaneously beating heart images from an ECOCG. For this purpose, it needs to calibrate the space locations and orientations of the two motion pictures.
In embodiments, the calibration of the spaces and orientation is accomplished by choosing two specific events during a cardiac cycle when the space locations and the orientations of the events for both the MCG and the ECOCG are relatively easy to be determined. Then the two pairs of corresponding space points can be lined up by a coordinate transformation.
A method of calibration of two synchronized motion pictures of MCG and ECOCG is accomplished here.
To combine the two motion pictures of MCG and ECOCG it needs to locate the current dipole sources from a MCG onto a simultaneously beating heart images from an ECOCG. For this purpose, it needs to calibrate the space locations and orientations for the two motion pictures.
In embodiments, the calibration of the spaces and orientation is accomplished by choosing two specific events during a cardiac cycle when the space locations and the orientations of the events for both the MCG and the ECOCG are relatively easy to be determined. Then the two pairs of corresponding space points can be lined up by a coordinate transformation.
The MCG motion picture is derived by measuring the magnetic fields at 6×6 locations on a same plane above the heart by very sensitive sensors of the MCG.
The magnetic field data are used to reconstruct the current dipole sources of interest. The space positions and orientations of the current dipoles vectors can be determined in certain precision related to the fixed sensors plane of the MCG above the heart.
An ECOCG motion picture is derived by an ECOCG by ultrasonic scanning. The beating heart images can be seen frame by frame clearly during a cardiac circle. But the space position and orientation of the heart images from the echocardiography are uncertain due to the operation. In order to locate the current dipole vectors it needs to calibrate the two motion pictures.
From a normal Electrocardiography picture as in
Now we take a look of the t1 frame and t2 frame from the ECOCG motion pictures as shown in
Correspondingly we take a look of the t1 frame and t2 frame from the MCG motion pictures as shown in
Here it needs to calibration the coordinate system of ECOCG with that of MCG by letting the pair points (R1, R1′) be the same physical point, same as the pair (R2, R2′).
The coordinate transformation from MCG to ECOCG is as following;
(R−R2)x=k(cos α(R′−R2′)x+sin α(R′−R2′)y)
(R−R2)y=k(−sin α(R′−R2′)x+cos α(R′−R2′)y)
Here, α=tg−1((R1−R2)y/(R1−R2)x)−tg−1((R1′−R2′)y/(R1′−R2′)x) is the angle of rotation, and k=(|R1−R2|)/(|R1′−R2′|) is the scaling factor.
This is a non-provisional patent application based on the provisional patent application Ser. No. 62/379,622, filed on Aug. 25, 2016.