Image Reconstruction

  • Gopal B. Saha


Projection data acquired in two-dimensional (2D) mode or three-dimensional (3D) mode are stored in sinograms that consist of rows and columns representing angular and radial samplings, respectively. Acquired data in each row are compressed (summed) along the depth of the object and must be unfolded to provide information along this direction. Such unfolding is performed by reconstruction of images using acquired data. The 3D data are somewhat more complex than the 2D data and usually rebinned into 2D format for reconstruction. After correction for the factors discussed in Chap. 3, the data are used to reconstruct transaxial (transverse) images from which vertical long axis (coronal) and horizontal long axis (sagittal) images are formed. Reconstruction of images is made by two methods: filtered backprojection and iterative methods. Both methods are described below.


Count Density Nyquist Frequency Recovery Coefficient Reconstruction Matrix Detector Pair 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • Gopal B. Saha
    • 1
  1. 1.Department of Nuclear MedicineThe Cleveland Clinic FoundationClevelandUSA

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