Method and system for enhanced frame rate upconversion in ultrasound imaging

US9384568B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9384568-B2
Application numberUS-201414476179-A
CountryUS
Kind codeB2
Filing dateSep 3, 2014
Priority dateSep 3, 2014
Publication dateJul 5, 2016
Grant dateJul 5, 2016

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Abstract

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Various embodiments include systems and methods for providing motion blur reduction to one or more three-dimensional (3D) images, and/or for improving accuracy of motion-compensated frame up-interpolations. The motion blur reduction may comprise application of iterative motion estimation, starting with an initial block size and with reduced block size in each iteration, with a final velocity vector being determined by summing displacement vectors from all iterations. Accuracy of motion-compensated frame up-interpolations may be improved by use of lower resolution frames (or portions of frames), which may be used in generating information used in enhancing motion related features or characteristics of motion-compensated frames.

First claim

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What is claimed is: 1. A method, comprising: applying by a processor of an ultrasound system, motion blur reduction to one or more three-dimensional (3D) images, the motion blur reduction comprising: applying motion estimation based on an initial block size; iteratively applying motion estimation for one or more other iterations, wherein block size associated with each iteration is reduced in relation to block size of a previous iteration; and determining a final velocity vector by summing displacement vectors from all iterations; and applying by the processor of the ultrasound system, improvement to motion-compensated frames, by: obtaining for motion-compensated frames or portions thereof, corresponding lower resolution frames or portions of a frame; and processing the motion-compensated frames or the portions thereof, to enhance motion related characteristics in the motion-compensated frames, based on information obtained from the obtained lower resolution frames or the portion of a frames. 2. The method according to claim 1 , comprising applying the motion blur reduction during frame rate upconversion. 3. The method according to claim 2 , comprising applying the motion blur reduction to interpolated frames during the frame rate upconversion. 4. The method according to claim 1 , comprising applying the motion estimation based on dual motion estimation (DME). 5. The method according to claim 1 , comprising applying vector median filtering to velocity vectors obtained during motion blur reduction. 6. The method according to claim 1 , comprising applying a vector field corresponding to velocity vectors obtained during motion blur reduction as an input in an optical flow processing. 7. The method according to claim 1 , comprising applying overlapped block motion compensation interpolation to each image to which motion blur reduction is applied, to remove blockiness artifacts. 8. The method according to claim 1 , comprising processing the motion-compensated frames or portions thereof based on information obtained from tracking of motion of structures between motion-compensated frames or portions thereof and lower resolution frames or the portions of a frame. 9. The method according to claim 8 , comprising obtaining the lower resolution frames or portions of a frame on per-frame or per-beam interleaved acquisition scheme. 10. A system, comprising: an ultrasound device comprising a processor operable to: apply motion blur reduction to one or more three-dimensional (3D) images, the motion blur reduction comprising: applying motion estimation based on an initial block size; iteratively applying motion estimation for one or more other iterations, wherein block size associated with each iteration is reduced in relation to block size of a previous iteration; and determining a final velocity vector by summing displacement vectors from all iterations; and apply improvement to motion-compensated frames, by: obtaining for motion-compensated frames or portions thereof, corresponding lower resolution frames or portions of a frame; and processing the motion-compensated frames or the portions thereof, to enhance motion related characteristics in the motion-compensated frames, based on information obtained from the obtained lower resolution frames or the portion of a frames. 11. The system according to claim 10 , wherein the processor is operable to apply the motion blur reduction during frame rate upconversion. 12. The system according to claim 11 , wherein the processor is operable to apply the motion blur reduction to interpolated frames during the frame rate upconversion. 13. The system according to claim 10 , wherein the processor is operable to apply the motion estimation based on dual motion estimation (DME). 14. The system according to claim 10 , wherein the processor is operable to apply vector median filtering to velocity vectors obtained during motion blur reduction. 15. The system according to claim 10 , wherein the processor is operable to apply a vector field corresponding to velocity vectors obtained during motion blur reduction as an input in an optical flow processing. 16. The system according to claim 10 , wherein the processor is operable to apply overlapped block motion compensation interpolation to each image to which motion blur reduction is applied, to remove blockiness artifacts. 17. The system according to claim 10 , comprising processing the motion-compensated frames or portions thereof based on information obtained from tracking of motion of structures between motion-compensated frames or portions thereof and lower resolution frames or the portions of a frame. 18. The system according to claim 17 , comprising obtaining the lower resolution frames or portions of a frame on per-frame or per-beam interleaved acquisition scheme. 19. A non-transitory computer readable medium having stored thereon, a computer program having at least one code section, the at least one code section being executable by a machine for causing the machine to perform steps comprising: applying motion blur reduction to one or more three-dimensional (3D) images, the motion blur reduction comprising: applying motion estimation based on an initial block size; iteratively applying motion estimation for one or more other iterations, wherein block size associated with each iteration is reduced in relation to block size of a previous iteration; and determining a final velocity vector by summing displacement vectors from all iterations; and applying improvement to motion-compensated frames, by: obtaining for motion-compensated frames or portions thereof, corresponding lower resolution frames or portions of a frame; and processing the motion-compensated frames or the portions thereof, to enhance motion related characteristics in the motion-compensated frames, based on information obtained from the obtained lower resolution frames or the portion of a frames.

Assignees

Inventors

Classifications

  • G06T12/30Primary

    Image post-processing, e.g. metal artefact correction · CPC title

  • Motion blur correction · CPC title

  • 3D ultrasound image · CPC title

  • G06T11/008Primary

    Physics · mapped topic

  • particularly adapted to short-range imaging (G01S7/53 takes precedence) · CPC title

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What does patent US9384568B2 cover?
Various embodiments include systems and methods for providing motion blur reduction to one or more three-dimensional (3D) images, and/or for improving accuracy of motion-compensated frame up-interpolations. The motion blur reduction may comprise application of iterative motion estimation, starting with an initial block size and with reduced block size in each iteration, with a final velocity ve…
Who is the assignee on this patent?
Gen Electric
What technology area does this patent fall under?
Primary CPC classification G06T12/30. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Jul 05 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).