2012
DOI: 10.1109/tsp.2012.2208636
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Forward-Projection Architecture for Fast Iterative Image Reconstruction in X-Ray CT

Abstract: Iterative image reconstruction can dramatically improve the image quality in X-ray computed tomography (CT), but the computation involves iterative steps of 3D forward-and backprojection, which impedes routine clinical use. To accelerate forward-projection, we analyze the CT geometry to identify the intrinsic parallelism and data access sequence for a highly parallel hardware architecture. To improve the efficiency of this architecture, we propose a water-filling buffer to remove pipeline stalls, and an out-of… Show more

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Cited by 25 publications
(15 citation statements)
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“…Usually, it uses inferred cameras and X-ray technology for imaging a metal fill profile during the casting [24]. The X-ray tomography has many disadvantages, such as the hazard radiation, the big size, the fixed structure, and a high cost.…”
Section: Lost Foam Casting (Lfc)mentioning
confidence: 99%
“…Usually, it uses inferred cameras and X-ray technology for imaging a metal fill profile during the casting [24]. The X-ray tomography has many disadvantages, such as the hazard radiation, the big size, the fixed structure, and a high cost.…”
Section: Lost Foam Casting (Lfc)mentioning
confidence: 99%
“…Intrinsic to the development of all algorithms is the need for a fast implementation, using either CPU or GPU depending on the specifics of the algorithm. [34][35][36][37][38][39][40][41] Two other directions where progress is being made is reconstruction from limited data using total variation minimization and reconstruction from dual energy scans. Total variation has been shown to enable robust reconstructions from few projections (see, e.g., Ref.…”
Section: Introductionmentioning
confidence: 99%
“…Even though these iterative algorithms require much more computation than the analytic algorithms [6], their importance and the demand for them in the fields are dramatically increasing since the iterative algorithms can reconstruct a high-quality 3D image with the same, or a smaller, number of X-ray images. This implies that the Xray dose for a patient can be reduced, and scanning time can also be shortened [9].…”
Section: Introductionmentioning
confidence: 99%
“…To meet the huge computational demands of iterative image reconstruction, many researchers have tried to take advantage of hardware accelerators for image reconstruction: FPGAs were used [9,10], and GPUs [11][12][13].…”
Section: Introductionmentioning
confidence: 99%