Lines of response in a PET dataset have differing sensitivity for a variety of reasons including variations in detector efficiency, solid angle subtended and summation of neighbouring data elements. Information on these variations is required for the reconstruction of quantitative and artefact-free images - indeed, most algorithms require that these variations be removed prior to reconstruction. The process of correcting for these effects is known as normalisation, and the individual correction factors for each LOR are referred to as normalisation coefficients.

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