Method for evaluating modulus of repulsion elasticity, hardness and energy loss of polymer material
US-9528950-B2 · Dec 27, 2016 · US
US9761021B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9761021-B2 |
| Application number | US-201314397878-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 13, 2013 |
| Priority date | May 14, 2012 |
| Publication date | Sep 12, 2017 |
| Grant date | Sep 12, 2017 |
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A method includes obtaining a dark-field signal generated from a dark-field CT scan of an object, wherein the dark-field CT scan is at least a 360 degree scan. The method further includes weighting the dark-field signal. The method further includes performing a cone beam reconstruction of the weighted dark-field signal over the 360 degree scan, thereby generating volumetric image data. For an axial cone-beam CT scan, in one non-limiting instance, the cone-beam reconstruction is a full scan FDK cone beam reconstruction. For a helical cone-beam CT scan, in one non-limiting instance, the dark-field signal is rebinned to wedge geometry and the cone-beam reconstruction is a full scan aperture weighted wedge reconstruction. For a helical cone-beam CT scan, in another non-limiting instance, the dark-field signal is rebinned to wedge geometry and the cone-beam reconstruction is a full scan angular weighted wedge reconstruction.
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The invention claimed is: 1. A method, comprising: obtaining a dark-field signal generated from a dark-field CT scan of an object, wherein the dark-field CT scan is at least a 360 degree scan; weighting the dark-field signal; and performing a cone beam reconstruction of the weighted dark-field signal over the 360 degree scan, thereby generating volumetric image data. 2. The method of claim 1 , wherein the cone beam reconstruction does not require a complementary dark-field signal for the scanned object, which is a signal acquired one hundred and eighty degrees apart from the dark-field signal. 3. The method of claim 1 , wherein the cone beam reconstruction is an extension of a 2D filtered back-projection reconstruction over the 360 degree scan. 4. The method of claim 3 , wherein the 2D filtered back-projection reconstruction includes a term that is a function of the complementary dark-field signal, and further comprising: approximating the complementary dark-field signal in the term with the dark-field signal. 5. The method of claim 3 , wherein the 2D filtered back-projection reconstruction includes applying a filtered back-projection to the weighted dark-field signal and multiplying a result of the filtered back-projection by a value of two. 6. The method of claim 1 , wherein the dark-field CT scan is an axial cone-beam CT scan, and the cone-beam reconstruction is a 360 degree FDK cone beam reconstruction. 7. The method of claim 1 , wherein the dark-field CT scan is a helical cone-beam CT scan. 8. The method of claim 7 , further comprising: rebinning the dark-field signal to a wedge geometry, and wherein the cone-beam reconstruction is an aperture weighted wedge reconstruction. 9. The method of claim 7 , further comprising: rebinning the dark-field signal to a wedge geometry, and wherein the cone-beam reconstruction is an angular weighted wedge reconstruction. 10. The method of any claim 9 , wherein the weights of all views with distance 2πadd to ½ independently. 11. An imaging system, comprising: a source that emits radiation at a focal spot that traverses an examination region; an interferometer that filters the emitted radiation for a dark-field imaging scan of an object; and a detector array that detects the filtered radiation traversing the examination region and produces a dark-field signal indicative thereof; and a reconstructor that weights the dark-field signal and reconstructs the weighted dark-field signal over 360 degrees using a cone beam reconstruction, generating volumetric image data, wherein the cone beam reconstruction does not require a complementary dark-field signal for the scanned object, which is a signal acquired one hundred and eighty degrees apart from the dark-field signal. 12. The imaging system of claim 11 , wherein the reconstructor applies a cone beam reconstruction that is an extension of a 2D filtered back-projection reconstruction over the 360 degrees. 13. The imaging system of claim 12 , wherein the 2D filtered back-projection reconstruction includes a term that is a function of the complementary dark-field signal, which approximated with the dark-field signal. 14. The imaging system of claim 12 , wherein the 2D filtered back-projection reconstruction includes applying a filtered back-projection to the dark-field signal and multiplying a result of the filtered back-projection by a value of two. 15. The imaging system of claim 11 , wherein the dark-field CT scan is an axial cone-beam CT scan, and the reconstructor applies a 360 degree FDK cone beam reconstruction. 16. The imaging system of claim 11 , wherein the dark-field CT scan is a helical cone-beam CT scan. 17. The imaging system of claim 16 , wherein the reconstructor rebins the dark-field signal to a wedge geometry and applies an aperture weighted wedge reconstruction. 18. The imaging system of claim 16 , wherein the reconstructor rebins the dark-field signal to a wedge geometry and applies an angular weighted wedge reconstruction. 19. A computer readable storage medium encoded with computer readable instructions, which, when executed by a processor, cause the processor to: obtain a dark-field signal generated from at least a 360 degree dark-field CT scan of an object; weight the dark-field signal; and perform a cone beam reconstruction on the weighted dark-field signal over 360 degrees, thereby generating volumetric image data. 20. The computer readable storage medium of claim 19 , wherein the dark-field CT scan is an axial cone-beam CT scan, and the cone-beam reconstruction is a full scan FDK cone beam reconstruction. 21. The computer readable storage medium of claim 20 , wherein the dark-field CT scan is a helical cone-beam CT scan, and the computer readable instructions, which, when executed by the processer, further cause the processor to: rebin the dark-field signal to a wedge geometry; and apply at least one of a 360 degree aperture or angular weighted wedge reconstruction to the rebinned dark-field signal. 22. The computer readable storage medium of claim 19 , wherein the cone-beam reconstruction is based on a fan-beam reconstruction. 23. The computer readable storage medium of claim 19 , wherein the cone-beam reconstruction is based on a parallel-beam reconstruction.
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