Methods, systems, apparatuses, and computer program products for extending the field of view of a sensor and obtaining a synthetic radiagraph
A method, apparatus, system, and computer program product for using an invalidity matrix, iterative reconstruction and reprojection to generate a two-dimensional image. The method includes acquiring projections through an a dental anatomy, calibrating the acquired projected images, estimating a geometry of the tomosynthesis system, determining an invalidity matrix for each acquired projection image, removing contributions of marker particles to the acquired projection images, constructing a starting volume for reconstruction, performing an iteration process for iteratively updating the starting volume, and reprojecting a final reconstructed volume to obtain a final two-dimensional image.
1. A method for generating a two-dimensional image from a three-dimensional reconstructed volume based on a plurality of projection images, the method comprising:
acquiring the plurality of projection images of a dental anatomy on a detector;
determining an invalidity matrix for each projection image of the plurality of projection images;
constructing a starting volume for reconstruction;
performing an iteration process to iteratively update the starting volume to obtain a reconstructed volume; and
reprojecting the reconstructed volume to obtain said two-dimensional image when a termination criteria is met,
wherein the iteration process includes selecting a projection image of the plurality of projection images, and
wherein the iteration process further includes a deweighting process driven by the invalidity matrix to remove the contributions of potentially problematic pixels of the selected image projection to the reconstructed volume.
2. The method according to claim 1 , further comprising removing contributions of marker particles to the plurality of projection images.
3. The method according to claim 1 , wherein the number of the plurality of projection images is 41.
4. The method according to claim 1 , wherein the determining step further includes identifying any invalid regions in a binary mask, calculating the distances of each pixel from its nearest valid and invalid pixels and combining said distances to obtain a value for each pixel.
5. The method according to claim 1 , wherein the starting volume is a blank volume.
6. The method according to claim 1 , wherein the reprojecting step further includes using dimensions of a reprojection surface and size of the starting volume to control at least one characteristic of the two dimensional image.
7. The method according to claim 6 , wherein the reprojection surface is a semi-circular surface.
8. The method according to claim 6 , further comprising using a virtual focus at negative depth that is matched to an opening angle of a scan angle of a tomosynthesis scan to reproject the reconstructed dental anatomy onto the reprojection surface to obtain said two-dimensional image wherein said two-dimensional image has a larger field of view than the field of view of the detector.
9. The method according to claim 6 , wherein the reprojection surface is dynamically constructed to match the geometry of the dental anatomy.
10. The method according to claim 6 , wherein the reprojection surface is a flat plane.
11. A system for generating a two-dimensional image from a three-dimensional reconstructed volume based on a plurality of projection images, the system comprising:
at least one processor operable to:
acquire the plurality of projection images of a dental anatomy on a detector;
determine an invalidity matrix for each projection image of the plurality of projection images;
construct a starting volume for reconstruction;
perform an iteration process to iteratively update the starting volume to obtain a reconstructed volume; and
reproject the reconstructed volume to obtain said two-dimensional image when a termination criteria is met,
wherein the iteration process includes selecting a projection image of the plurality of projection images, and
wherein the iteration process further includes a deweighting process driven by the invalidity matrix to remove the contributions of potentially problematic pixels of the selected image projection to the reconstructed volume.
12. The system according to claim 11 , wherein the processor is operable to remove contributions of marker particles to the plurality of projection images.
13. The system according to claim 11 , wherein the number of the plurality of projection images is 41.
14. The system according to claim 11 , wherein the processor is operable to determine the invalidity matrix by identifying any invalid regions in a binary mask, calculating the distances of each pixel from its nearest valid and invalid pixels and combining said distances to obtain a value for each pixel.
15. The system according to claim 11 , wherein the starting volume is a blank volume.
16. The system according to claim 11 , wherein the processor is operable to reproject by using dimensions of a reprojection surface and size of the starting volume to control at least one characteristic of the two dimensional image.
17. The system according to claim 16 , wherein the reprojection surface is a semi-circular surface.
18. The system according to claim 16 , wherein the processor is operable to use a virtual focus at negative depth that is matched to an opening angle of a scan angle of a tomosynthesis scan to reproject the reconstructed dental anatomy onto the reprojection surface to obtain said two-dimensional image wherein said two-dimensional image has a larger field of view than the field of view of the detector.
19. The system according to claim 16 , wherein the reprojection surface is dynamically constructed to match the geometry of the dental anatomy.
20. The system according to claim 16 , wherein the reprojection surface is a flat plane.
21. A non-transitory computer-readable storage medium storing a program which, when executed by a computer system, causes the computer system to perform a procedure comprising:
acquiring a plurality of projection images of a dental anatomy on a detector;
determining an invalidity matrix for each projection image of the plurality of projection images;
constructing a starting volume for reconstruction;
performing an iteration process to iteratively update the starting volume to obtain a reconstructed volume; and
reprojecting the reconstructed volume to obtain said two-dimensional image when a termination criteria is met,
wherein the iteration process includes selecting a projection image of the plurality of projection images, and
wherein the iteration process further includes a deweighting process driven by the invalidity matrix to remove the contributions of potentially problematic pixels of the selected image projection to the reconstructed volume.