Body motion detection device and method
US-2015379726-A1 · Dec 31, 2015 · US
US9962136B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9962136-B2 |
| Application number | US-201514711396-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 13, 2015 |
| Priority date | Jun 4, 2014 |
| Publication date | May 8, 2018 |
| Grant date | May 8, 2018 |
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A method of reconstructing time-varying position of individual radioactive point sources directly from Positron Emission Tomography (PET) measurements is provided that includes using a PET scanner to acquire list-mode coincidence events of a moving radioactive point source, using an appropriately programmed computer to model a trajectory of the moving radioactive point source as a 3D function of a temporal variable, then apply an optimization procedure to find the trajectory that minimizes a distance between the trajectory and the recorded list-mode coincidence events, and using the PET scanner to output a real time position of the radioactive point source.
Opening claim text (preview).
What is claimed: 1. A method of reconstructing time-varying positions of an individual radioactive cell, comprising: a. transplanting to a human or animal host a radioactive cell; b. acquiring a positron emission tomography (PET) scan, using a PET scanner, of said human or said animal host to obtain a list of coincidence events containing lines and corresponding timestamps; c. using a computer to: i. model a time-varying position of said radioactive cell as a 3D function of a temporal variable; ii. determining an average distance for different parameters of said 3D function, wherein said average distance is determined by computing a geometrical distance between one said line in said list of coincidence events and a 3D position given by said 3D function for said timestamp corresponding to said one line, wherein an average of all said computed geometrical distances is computed; iii. iteratively repeating said modeling step i) and said average distance determination of step ii) until said average distance converges to a minimum distance; and d. reconstructing a time-varying position of said radioactive transplanted cell, using said PET scanner, by outputting said 3D function of said temporal variable of said reconstructed time-varying position of said transplanted radioactive cell, wherein said reconstructed time-varying position provides an estimate of individual cell migration in real time inside said human or animal host. 2. The method of claim 1 , wherein said 3D function comprises a B-spline function of said temporal variable. 3. The method according to claim 1 , wherein a regularization term is added to said geometrical distance to favor desirable trajectories over undesirable trajectories, wherein if no said list of coincidence events are detected over a pre-defined time interval, a shortest trajectory is selected from available said list of coincidence events. 4. The method of claim 1 , wherein said geometrical distance comprises a mean-square distance. 5. The method according to claim 1 , wherein said computing a geometrical distance comprises assigning a constant value to events that have a geometrical distance greater than a predefined distance d max .
Emission tomography · CPC title
for non-human patients · CPC title
involving generating temporal series of image data · CPC title
due to motion · CPC title
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