 by way of filtered back-projection. At least one embodiment is directed to a computer-implemented method of deriving 0D image data of a reconstruction volume from a plurality of 0D projections by way of filtered back-projection. At least one embodiment is directed to a computer-implemented method of deriving 0D image data of a reconstruction volume from a plurality of 0D projections by way of filtered back-projection comprises receiving a plurality of 0D projections of an imaged object, each 0D projection corresponding to a projection plane; applying a filter to each of the 0D projections to yield filtered 0D projections; and calculating a filtered back-projection density distribution from the filtered 0D projections by way of filtered back-projection. In at least one example embodiment of the computer-implemented method, calculating the at least one modified filtered back-projection density distribution that is indicative of outlier values included in the filtered 0D projections by way of filtered back-projection comprises: defining at least one look-up table that overweighs outlier values in at least a relevant domain; defining an inverted look-up table that is inverse to the look-up table; determining, for each volume position in the reconstruction volume and for each 0D projection, two-dimensional in-plane coordinates by projecting the volume positions onto the projection plane defined by the 0D projections; determining, for each volume position in the reconstruction volume and for each 0D projection, a modified weighted contribution of each of the filtered 0D projections, wherein determining the modified weighted contributions in particular includes evaluating the filtered 0D projections at the in-plane coordinates corresponding to the volume position and applying the look-up table to the filtered 0D projections evaluated at the in-plane coordinates; and accumulating, for each volume position in the reconstruction volume, the modified weighted contributions of the 0D projections corresponding to different projection planes and applying the inverted look-up table to the result to yield the modified filtered back-projection density distribution. In at least one example embodiment of the computer-implemented method, calculating the at least one modified filtered back-projection density distribution indicative of high outlier values included in the filtered 0D projections comprises: defining at least one first look-up table that overweighs high outlier values in at least a relevant domain; defining an inverted first look-up table that is inverse to the first look-up table; determining, for each volume position in the reconstruction volume and for each 0D projection, two-dimensional in-plane coordinates by projecting the volume positions onto the projection plane defined by the 0D projections; determining, for each volume position in the reconstruction volume and for each 0D projection, a first modified weighted contribution of each of the filtered 0D projections, wherein determining the first modified weighted contributions includes evaluating the filtered 0D projections at the in-plane coordinates corresponding to the volume position and applying the first look-up table to the filtered 0D projections evaluated at the in-plane coordinates; accumulating, for each volume position in the reconstruction volume, the first modified weighted contributions of the 0D projections corresponding to different projection planes and applying the inverted first look-up table to the result to yield the first modified filtered back-projection density distribution. In at least one example embodiment of the computer-implemented method, calculating the at least one modified filtered back-projection density distribution indicative of low outlier values included in the filtered 0D projections comprises: defining at least one second look-up table that overweighs high outlier values in at least a relevant domain; defining an inverted second look-up table that is inverse to the second look-up table; determining, for each volume position in the reconstruction volume and for each 0D projection, two-dimensional in-plane coordinates by projecting the volume positions onto the projection plane defined by the 0D projections; determining, for each volume position in the reconstruction volume and for each 0D projection, a second modified weighted contribution of each of the filtered 0D projections, wherein determining the second modified weighted contributions includes evaluating the filtered 0D projections at the in-plane coordinates corresponding to the volume position and applying the second look-up table to the filtered 0D projections evaluated at the in-plane coordinates; and accumulating, for each volume position in the reconstruction volume, the second modified weighted contributions of the 0D projections corresponding to different projection planes and applying the inverted second look-up table to the result to yield the second modified filtered back-projection density distribution. In at least one example embodiment of the computer-implemented method, calculating the filtered back-projection density distribution from the filtered 0D projections by way of filtered back-projection comprises: determining, for each volume position in the reconstruction volume and for each 0D projection, two-dimensional in-plane coordinates by projecting the volume positions onto the projection plane defined by each of the 0D projections; determining, for each volume position in the reconstruction volume and for each 0D projection, a weighted contribution of each of the filtered 0D projections, wherein determining the weighted contributions includes evaluating the filtered 0D projections at the in-plane coordinates corresponding to the volume position; calculating a filtered back-projection density distribution from the filtered 0D projections by accumulating the weighted contributions of the 0D projections corresponding to different projection planes. At least one example embodiment of the invention further relates to a computer readable medium comprising instructions, which, when executed on a processor, computer or computing unit, causes the processor, computer or computing unit to carry out the computer-implemented method of at least one embodiment as described herein before. A computer readable medium may in particular comprise a physical storage medium. In other embodiments, the computer readable medium may be embodied as sequence of signals that may in particular be made available via download over a network, like, for example, the internet. At least one example embodiment of the invention further relates to a computer program product comprising instructions, which, when executed on a processor, computer or computing unit, causes the processor, computer or computing unit to carry out the computer-implemented method of at least one embodiment as described herein before. At least one example embodiment of the invention further relates to an imaging system comprising at least one imaging modality configured to capture a plurality of 0D projections of an imaged object, and at least one of a computer, processor and computing unit configured to receive the 0D projections as input data. The computer, processor and computing unit executes the instructions of the aforementioned computer readable medium or computer program product or is otherwise configured to derive 0D image data of the reconstruction volume from the plurality of 0D projections by way of any of the computer-implemented methods of at least one embodiment as described herein before. 