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THE PRINCIPLES OF X-RAY COMPUTED TOMOGRAPHY  275
























                                                      3
                                                                                                3
                                  photon energy (units keV × 10 )          photon energy (units keV × 10 )
                          FIGURE 10.7  Linear attenuation coefficients for  FIGURE 10.8  Region of dominant attenua-
                          H O.                                        tion process.
                           2
                                                  Φ =  Φ exp ( ∫  ∫  μ ( , ) dl d λ )
                                                                   λ
                                                           −
                                                                 r
                                                       0     λ l                            (10.23)
                          The presence of water in biological substances, such as soft tissue, has lead to the creation of a unit
                          of attenuation coefficient for tomographic imaging. This is the Hounsfield unit (HU), defined as
                                                     μ( substance − μ)  ( water)
                                                HU =                  ×1000                 (10.24)
                                                          μ( water)
                          The usefulness of this unit for biological imaging is evident by comparing the values in HU for the
                          widely disparate attenuating substances, such as air and bone. Here, air has a value of about
                          −1000 HU and bone about +1000 HU.


              10.3 THE MATHEMATICAL MODEL

              10.3.1 Linear Systems and the Point-Spread Function

                          In dealing with the processes that are involved in tomographic reconstruction, the fundamental
                          assumption is made that the individual systems perform linear operations. This ensures that sim-
                          ple relations exist between the input signals and the
                          responding outputs.  These systems may be treated
                          schematically as black boxes, with an input g (u), pro-
                                                            in
                          ducing a corresponding output g (u), where the inde-
                                                  out
                          pendent variable u may be a one-dimensional time t, or
                          displacement x, a two-dimensional position upon an x,
                          y plane, or a three-dimensional position within an x, y,  FIGURE 10.9  Black box representation of a
                          z volume (Fig. 10.9).                      linear system.
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