Paper
6 June 2000 Iterative list mode reconstruction for coincidence data of gamma camera
Stefaan Vandenberghe, Yves D'Asseler, Michel Koole, Luc Bouwens, Rik Van de Walle, Ignace L. Lemahieu, Rudi A. Dierckx
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Abstract
The 3D acquisition data from positron coincidence detection on a gamma camera, can be stored in list-mode or histogram format. The standard processing of the list mode-data is Single Slice Rebinning (with a maximum acceptance angle) to 2D histogrammed projections followed by Ordered Subsets Expectation Maximization reconstruction. This method has several disadvantages: sampling accuracy is lost by histogramming events, axial resolution degrades with increasing distance from the center of rotation and useful events, with angle bigger than the acceptance angle, are not included in the reconstruction. Therefore an iterative reconstruction algorithm, operating directly on list-mode data, has been implemented. The 2D and 3D version of this iterative list-mode algorithm have been compared with the aforementioned standard reconstruction method. A higher number of events is used in the reconstruction, which results in a lower standard deviation. Resolution is fairly constant over the Field of View. The use of a fast projector and backprojector reduces the reconstruction time to clinical acceptable times.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stefaan Vandenberghe, Yves D'Asseler, Michel Koole, Luc Bouwens, Rik Van de Walle, Ignace L. Lemahieu, and Rudi A. Dierckx "Iterative list mode reconstruction for coincidence data of gamma camera", Proc. SPIE 3979, Medical Imaging 2000: Image Processing, (6 June 2000); https://doi.org/10.1117/12.387667
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Cited by 20 scholarly publications.
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KEYWORDS
Reconstruction algorithms

Cameras

Data acquisition

3D acquisition

Expectation maximization algorithms

Sensors

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