Methods and systems to facilitate reducing banding artifacts in images

1. A computer programmed to generate computed tomographic (CT) images from scan data acquired during different biological cycles, said computer programmed to:

receive scan data acquired during a gated acquisition window of each of a plurality of biological cycles;

generate blended redundant projection data by combining the scan data using view dependent blending, z-axis dependent blending, and cardiac segment view weighting, wherein a segment weight is based on data acquired in an angular range at least equal to a halfscan;

construct a first image from a first of the plurality of biological cycles;

construct a second image from a second of the plurality of biological cycles, wherein the second image comprises a region of overlap with the first image to define a transition region; and

construct a final image comprising the first image and the second image, wherein the transition region is defined using adaptive blending of the blended redundant projection data constructed from the first image and the second image using weighting factors that vary from pixel to pixel.

2. A computer in accordance with claim 1 further programmed to:

receive a first plurality of images acquired during the gated acquisition window of the first of the plurality of biological cycles; and

receive a second plurality of images acquired during the gated acquisition window of the second of the plurality of biological cycles such that the first plurality of images includes the first image and the second plurality of images includes the second image.

3. A computer in accordance with claim 1 further programmed to:

receive first scan data acquired during a portion of a first heartbeat; and

receive second scan data acquired during a portion of a second heartbeat.

4. A computer in accordance with claim 1 further programmed to:

acquire first scan data during a portion of a first heartbeat; and

acquire second scan data during a portion of a second heartbeat.

5. A computer in accordance with claim 1 further programmed to apply fan to parallel rebinning and filtering to the weighted data.

6. A computer in accordance with claim 5 further programmed to backproject the rebinned data into a generated image.

7. A computer in accordance with claim- 1 further programmed to apply fan to parallel rebinning to the blended scan data.

8. A computer in accordance with claim 7 further programmed to backproject the rebinned data to generate the final image.

9. A method of reconstructing images from scan data acquired during different biological cycles, said method comprising:

receiving scan data acquired during a gated acquisition window of each of a plurality of biological cycles;

generating blended redundant projection data by combining the scan data using view dependent blending, z-axis dependent blending, and cardiac segment view weighting, wherein a segment weight is based on data acquired in an angular range at least equal to a halfscan;

constructing a first image from the first of the plurality of biological cycles;

constructing a second image from the second of the plurality of biological cycles, wherein the second image comprises a region of overlap with the first image to define a transition region; and

constructing a final image including the first image and the second image, wherein the transition region is defined comprising adaptively blending the blended redundant projection data acquired from the first image and the second image using weighting factors that vary from pixel to pixel.

10. A method in accordance with claim 9 wherein receiving scan data comprises:

receiving first image data acquired during the gated acquisition window of the first of the plurality of biological cycles; and

receiving second image data acquired during the gated acquisition window of the second of the plurality of biological cycles such that the first image data is indicative of a plurality of first images and the second image data is indicative of a plurality of second images, the plurality of first images including the first image and the plurality of second images including the second image.

11. A method in accordance with claim 9 wherein receiving scan data acquired during a gated acquisition window of each of a plurality of biological cycles comprises:

acquiring first scan data during a portion of a first heartbeat; and

acquiring second scan data during a portion of a second heartbeat.

12. A method in accordance with claim 9 further comprising applying fan to parallel rebinning and filtering to the weighted data.

13. A method in accordance with claim 12 further comprising backprojecting the rebinned data into a generated image.

14. A method in accordance with claim 9 further comprising applying fan to parallel rebinning to the blended scan data.

15. A method in accordance with claim 14 further comprising backprojecting the rebinned data to generate the final image.

16. A method of reconstructing an image of an object from scan data acquired during different biological cycles using a computed tomographic imaging system, said method comprising:

generating a first image from first scan data acquired during a first biological cycle;

generating a second image from second scan data acquired during a second biological cycle, wherein at least a portion of each of the second scan data and the first scan data is redundant scan data, and wherein the second image comprises a region of overlap with the first image to define a transition region;

generating blended redundant projection data by combining the scan data using view dependent blending, z-axis dependent blending, and cardiac segment view weighting, wherein a segment weight is based on data acquired in an angular range at least equal to a halfscan; and

constructing a final image including the first image and the second image, wherein the transition region is defined comprising adaptively blending the blended redundant projection data acquired from the first image and the second image using weighting factors that vary from pixel to pixel.

17. A computed tomographic (CT) imaging system for reconstructing an image of an object, said imaging system comprising:

a detector array;

at least one radiation source; and

a computer coupled to said detector array and said radiation source, said computer configured to:

receive scan data acquired during a gated acquisition window of each of a plurality of biological cycles;

generate blended redundant data by combining the scan data using view dependent blending, z-axis dependent blending, and cardiac segment view weighting, wherein a segment weight is based on data acquired in an angular range at least equal to a halfscan;

construct a first image from a first of the plurality of biological cycles;

construct a second image from a second of the plurality of biological cycles, wherein the second image comprises a region of overlap with the first image to define a transition region; and

construct a final image comprising the first image and the second image, wherein the transition region is defined using adaptive blending of the blended redundant projection data constructed from the first image and the second image using weighting factors that vary from pixel to pixel.

18. A computer programmed to generate computed tomographic (CT) images from scan data acquired during different biological cycles, said computer programmed to:

receive scan data acquired during a gated acquisition window of each of a plurality of biological cycles;

generate reconstructed image pixels from scan data of each of the plurality of biological cycles by combining the scan data using view dependent blending, z-axis dependent blending, and cardiac segment view weighting; and

construct a final image based on a cardiac phase and pixel values comprising adaptive blending of redundant scan data using first image data acquired during a first of the plurality of biological cycles and second image data acquired during a second of the plurality of biological cycles using weighting factors that vary from pixel to pixel, wherein the second image overlaps the first image to define a transition region.