Literature DB >> 25574058

Modeling of Pixelated Detector in SPECT Pinhole Reconstruction.

Bing Feng1, Gengsheng L Zeng2.   

Abstract

A challenge for the pixelated detector is that the detector response of a gamma-ray photon varies with the incident angle and the incident location within a crystal. The normalization map obtained by measuring the flood of a point-source at a large distance can lead to artifacts in reconstructed images. In this work, we investigated a method of generating normalization maps by ray-tracing through the pixelated detector based on the imaging geometry and the photo-peak energy for the specific isotope. The normalization is defined for each pinhole as the normalized detector response for a point-source placed at the focal point of the pinhole. Ray-tracing is used to generate the ideal flood image for a point-source. Each crystal pitch area on the back of the detector is divided into 60 × 60 sub-pixels. Lines are obtained by connecting between a point-source and the centers of sub-pixels inside each crystal pitch area. For each line ray-tracing starts from the entrance point at the detector face and ends at the center of a sub-pixel on the back of the detector. Only the attenuation by NaI(Tl) crystals along each ray is assumed to contribute directly to the flood image. The attenuation by the silica (SiO2) reflector is also included in the ray-tracing. To calculate the normalization for a pinhole, we need to calculate the ideal flood for a point-source at 360 mm distance (where the point-source was placed for the regular flood measurement) and the ideal flood image for the point-source at the pinhole focal point, together with the flood measurement at 360 mm distance. The normalizations are incorporated in the iterative OSEM reconstruction as a component of the projection matrix. Applications to single-pinhole and multi-pinhole imaging showed that this method greatly reduced the reconstruction artifacts.

Entities:  

Year:  2014        PMID: 25574058      PMCID: PMC4285383          DOI: 10.1109/TNS.2014.2304887

Source DB:  PubMed          Journal:  IEEE Trans Nucl Sci        ISSN: 0018-9499            Impact factor:   1.679


  2 in total

1.  A slice-by-slice blurring model and kernel evaluation using the Klein-Nishina formula for 3D scatter compensation in parallel and converging beam SPECT.

Authors:  C Bai; G L Zeng; G T Gullberg
Journal:  Phys Med Biol       Date:  2000-05       Impact factor: 3.609

2.  Development and validation of a complete GATE model of the Siemens Inveon trimodal imaging platform.

Authors:  Sanghyeb Lee; Jens Gregor; Dustin Osborne
Journal:  Mol Imaging       Date:  2013-10       Impact factor: 4.488

  2 in total

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