Abstract
Recent progress in additive manufacturing (AM) technology has made it possible to form objects with fine and complex internal structures. X-ray computed tomography (CT) is widely used for inspecting AM objects because it can scan objects’ internal structures nondestructively. Although conventional X-ray CT scanning scans static objects to obtain their three-dimensional geometry, recently, attention has been paid to scanning deforming objects in real time and obtaining time-varying fourdimensional (4D) data. This technology, called 4-dimensional computed tomography, is also used to conduct load-bearing tests of AM products and observation of the deformation of the internal structure of objects. However, dynamic deformation of an object to be scanned while rotating 360° yields a series (one frame) of projection images necessary to reconstruct a CT volume, causing blurs in the reconstructed data. Therefore, we propose an algorithm to generate a frame of projection images of an arbitrary time point by interpolating the projection images from the previous and next frames of continuous scanning. Specifically, we generate the projection images from given frames using optical flow, which adopts the vector field of the gradient of projection values. This algorithm was applied to dynamically changing projection images to experimentally show its robustness against dynamical changes.
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