In the application of nondestructive testing and evaluation, this paper mainly deals with the problem of improving the
image reconstruction speed in cone beam computed tomography (CBCT). FDK algorithm is a time costing method for
CBCT image reconstruction, due to the voluminous data and long operating process. With the help of data organization
and task distribution, we improved the SIMD instructions in Z-line data first reconstruction algorithm, which is an
improved method based on the FDK algorithm. And then, we run it parallelized with multi-core technology and a certain
divide-and-conquer strategy to get a fast reconstruction speed in CBCT. Finally, we evaluate the effectiveness of our
method from a numerical test of a blade model on an 8-core computer with four channel memory. Our method has got a
considerable speedup ratio of 217.22 to the FDK algorithm, and implemented the back-projection process of
reconstructing the inscribed cylinder of 5123 reconstruction space in about 30 seconds. It has got the same image quality
with the Z-line data first method, which retains the computational precision with FDK algorithm. Basically, our method
has met the requirement of real-time reconstruction.
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