Standard collimators have the disadvantage of providing limited resolution and sensitivity for gamma detection. Coded-aperture tomography is a method that can help to improve these characteristics: the standard LEUHR parallel collimator is replaced by a multi-pinhole mask that increases the spatial resolution and sensitivity and provides the possibility of obtaining dynamic and multi-spectral tomographic images. Reconstruction is obtained via a planar projection of a single object through the mask, thereby permitting contiguous sections parallel to the detector to be obtained. This reconstruction was based on an itérative Maximum Likelihood-Expectation Maximization (ML-EM) algorithm that takes into account this particular acquisition geometry. The acquisition sensitivity of this method was estimated to be ten times higher than that of a Low Energy-High Resolution (LEUHR) collimator, and allowed reconstruction of the following volume: 133.30 × 176.70 × 130.33 mm 3, (l × w × h) divided into nineteen sections of 19 × 25 pixels, corresponding to 7.0 voxels. Reconstructions of numerical and physical simulations of a single object were made. The resolution in the section and in depth was measured at 7 mm, i.e., the same size as one voxel. The uniformity was still not satisfactory. Scattering and attenuation correction still had to be carried out to obtain quantitative values.
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