Spatially variant image deformation
View Patent ↗Disclosed are systems for and methods of registering (i.e., aligning) a deformable image with a reference image subject to a spatially variant flexibility model and/or a non-Gaussian smoothing model. These systems and methods allow for the consideration of differences between the ways in which structures of interest may move within a patient. The registration includes modifying the deformable image to match similar features in the reference image. The systems include a deformation engine configured for performing a deformation algorithm subject to the spatially variant flexibility and/or smoothing models.
1. An image registration system comprising:
a deformation engine comprising:
first logic configured to compute a flexibility model comprising a first set of spatially variant constraints or spatially variant scalars and to apply the computed flexibility model to a medical deformable image to generate a set of displacement vectors, the set of displacement vectors being configured to apply a first force to the medical deformable image;
second logic configured to compute a non-Gaussian smoothing function and to apply the computed non-Gaussian smoothing function to the set of displacement vectors to create a smoothed set of displacement vectors;
third logic configured to compute a transform, the transform being configured to apply a second force to the medical deformable image, the second force opposing the first force; and
fourth logic configured to apply the smoothed set of displacement vectors and the transform to the medical deformable image to deform the medical deformable image to match a reference image.
2. The image registration system of claim 1 , wherein the non-Gaussian smoothing function is spatially variant.
3. The image registration system of claim 1 , further comprising an image generation apparatus configured to produce the medical deformable image.
4. The image registration system of claim 1 , wherein the first set of spatially variant constraints or spatially variant scalars includes a first subset of constraints associated with a first direction of displacement between the reference image and the medical deformable image, and a second subset of constraints associated with a second direction of the displacement between the reference image and the medical deformable image.
5. The image registration system of claim 1 , wherein the first set of spatially variant constraints or spatially variant scalars includes a plurality of constraints each associated with a different direction of displacement between the reference image and the medical deformable image.
6. The image registration system of claim 1 , wherein the non-Gaussian smoothing function is an exponential function.
7. The image registration system of claim 1 , wherein the exponential function includes a set of spatially variant decay parameters.
8. The image registration system of claim 1 , wherein the non-Gaussian smoothing function is configured to be applied using a multidimensional matrix.
9. An image registration system comprising:
a deformation engine comprising:
first logic configured to compute a flexibility model comprising a set of spatially variant constraints or spatially variant scalars and to apply the computed flexibility model to a medical deformable image to generate a set of displacement vectors, the set of displacement vectors being configured to apply a first force to the medical deformable image;
second logic configured to compute a Gaussian smoothing function and to apply the computed Gaussian smoothing function to the set of displacement vectors to create a smoothed set of displacement vectors;
third logic configured to compute a transform, the transform being configured to apply a second force to the medical deformable image, the second force opposing the first force; and
fourth logic configured to apply the smoothed set of displacement vectors and the transform to the medical deformable image to deform the medical deformable image to match a reference image.
10. The image registration system of claim 9 , wherein the set of spatially variant constraints includes a first subset of constraints associated with one direction and a second subset of constraints associated with a second direction.
11. An image registration system comprising:
a deformation engine comprising:
first logic configured to compute a flexibility model and to apply the computed flexibility model to a medical deformable image to generate a set of displacement vectors, the set of displacement vectors being configured to apply a first force to the medical deformable image;
second logic configured to compute a spatially variant smoothing function and to apply the computed spatially variant smoothing function to the set of displacement vectors to create a smoothed set of displacement vectors;
third logic configured to compute a transform, the transform being configured to apply a second force to the medical deformable image, the second force opposing the first force; and
fourth logic configured to apply the set of displacement vectors and the transform to the medical deformable image to deforming the medical deformable image to match a reference image.
12. The image registration system of claim 11 , wherein the spatially variant smoothing function includes an exponential function.
13. The image registration system of claim 12 , wherein the exponential function is dependent on a set of directionally dependent decay parameters.
14. The image registration system of claim 12 , wherein the spatially variant smoothing function is configured to be applied using a multi-dimensional matrix.
15. A method comprising:
computing a set of displacement vectors according to a flexibility model comprising a first set of spatially variant constraints or spatially variant scalars, the set of displacement vectors being configured to apply a first force to a medical deformable image;
applying a non-Gaussian smoothing function to the set of displacement vectors to create a smoothed set of displacement vectors;
computing a transform configured to apply a second force to the medical deformable image, the second force opposing the first force; and
applying the transform and the smoothed set of displacement vectors to the medical deformable image to match the medical deformable image to a reference image.
16. The method of claim 15 , wherein the non-Gaussian smoothing function is spatially variant.
17. The method of claim 15 , wherein the first set of spatially variant constraints or spatially variant scalars includes a first subset of constraints or scalars associated with a first direction of displacement between the reference image and the medical deformable image, and a second subset of constraints or scalars associated with a second direction of the displacement between the reference image and the medical deformable image.
18. The method of claim 15 , wherein the first set of spatially variant constraints or spatially variant scalars includes a plurality of constraints or scalars each associated with a different direction of displacement between the reference image and the medical deformable image.
19. The method of claim 15 , wherein the non-Gaussian smoothing function includes an exponential function.
20. The method of claim 19 , wherein the exponential function includes a set of spatially variant decay parameters.
21. The method of claim 15 , wherein the computing of the non-Gaussian smoothing function includes using a multidimensional matrix.
22. The method of claim 15 , wherein the first set of spatially variant constraints or spatially variant scalars includes a plurality of spatially variant multi-dimensional constraints.
23. A method comprising:
computing a set of displacement vectors according to a flexibility model comprising a set of spatially variant constraints or spatially variant scalars, the set of displacement vectors being configured to apply a first force to a medical deformable image;
applying a Gaussian smoothing function to the set of displacement vectors to create a smoothed set of displacement vectors;
computing a transform configured to apply a second force to the medical deformable image, the second force opposing the first force; and
applying the computed transform and the smoothed set of displacement vectors to the medical deformable image to match the medical deformable image to a reference image.
24. The method of claim 23 , wherein the set of spatially variant constraints includes a first subset of constraints associated with one direction and a second subset of constraints associated with a second direction.
25. A method comprising:
computing a set of displacement vectors according to a flexibility model and applying the set of displacement vectors to a medical deformable image, the set of displacement vectors being configured to apply a first force to the medical deformable image;
applying a spatially variant smoothing function to the medical deformable image;
computing a transform configured to apply a second force to the medical deformable image, the second force opposing the first force; and
applying the transform to the medical deformable image to match the medical deformable image to a reference image.
26. The method of claim 25 , wherein the spatially variant smoothing function includes an exponential function.
27. The method of claim 25 , wherein the spatially variant smoothing function is applied using a multi-dimensional matrix.