Blocked scan rebuilding and space assembly method of large object image-forming with cone-beam CT
A block scanning, large object technology, applied in the field of medical equipment
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specific Embodiment 1
[0070] Specific embodiment 1: the block local reconstruction of Shepp-Logan mold, as Figure 10 Shown:
[0071] Step 1. Divide the Shepp-Logan mold into 5 blocks, such as Figure 5 shown;
[0072] Step 2. Place each segmented area of the Shepp-Logan mold in the scanning field of view of the cone beam CT, that is, in the rotation of the turntable
[0073] In the heart area, each block area is sequentially placed in the scanning field of view of cone beam CT by using the method of spatial translation;
[0074] Step 3: Cone beam scanning is performed on each partition of the Shepp-Logan mold to obtain cone beam projection images. A full scan acquires about 300 projection images. Half scans acquire about 160 images.
[0075] Step 4, filling the truncated area of the projected image, such as figure 2 shown;
[0076] Step 5, adopt FDK method or convolution back projection method to carry out three-dimensional volume reconstruction, adopt the method of convolution back pro...
specific Embodiment 2
[0079] Specific embodiment 2: filling the data of the projected truncated image of the breast mold;
[0080] Figure 8 (a) Cone beam projection image of the breast cast without transverse truncation; Figure 8 (b) Transversely truncated projected images caused by adjusting the ray collimator; Figure 8 (c) Transversely truncated projected image after boundary extension filling.
[0081] Figure 9 is the partially reconstructed image of the breast mold; the first row shows the case of transverse truncated projection without padding (see Figure 8 Partial reconstruction of (b)), you can see the Gibbs effect caused by boundary truncation, which is manifested as a very bright edge in the reconstructed image; the second line shows that after the horizontal truncated projection is filled (see Figure 8 Local reconstruction of (c)), where the Gibbs effect is reduced and the reconstruction performance is improved in the region near the boundary.
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