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Emulation of X-ray Light-Field Cameras.

Nicola ViganòFelix LuckaOmbeline de La RochefoucauldSophia Bethany CobanRobert van LiereMarta FajardoPhilippe ZeitounKees Joost Batenburg
Published in: Journal of imaging (2020)
X-ray plenoptic cameras acquire multi-view X-ray transmission images in a single exposure (light-field). Their development is challenging: designs have appeared only recently, and they are still affected by important limitations. Concurrently, the lack of available real X-ray light-field data hinders dedicated algorithmic development. Here, we present a physical emulation setup for rapidly exploring the parameter space of both existing and conceptual camera designs. This will assist and accelerate the design of X-ray plenoptic imaging solutions, and provide a tool for generating unlimited real X-ray plenoptic data. We also demonstrate that X-ray light-fields allow for reconstructing sharp spatial structures in three-dimensions (3D) from single-shot data.
Keyphrases
  • high resolution
  • dual energy
  • electron microscopy
  • computed tomography
  • physical activity
  • big data
  • deep learning
  • magnetic resonance imaging
  • mental health
  • machine learning
  • artificial intelligence