Iterative reconstruction of a region of interest for transmission tomography

Andy Ziegler; Tim Nielsen; Michael Grass

doi:10.1117/12.650666

2 March 2006 Iterative reconstruction of a region of interest for transmission tomography

Andy Ziegler, Tim Nielsen, Michael Grass

Proceedings Volume 6142, Medical Imaging 2006: Physics of Medical Imaging; 614223 (2006) https://doi.org/10.1117/12.650666
Event: Medical Imaging, 2006, San Diego, California, United States

Abstract

Images reconstructed for transmission tomography with iterative Ordered Subsets Maximum Likelihood (OSML) algorithms have a higher signal-to-noise ratio than images reconstructed with filtered back-projection type algorithms. However, a drawback of OSML reconstruction is the requirement that a field-of-view (FOV) has to be reconstructed that covers the whole volume, which contributed to the absorption. In the case of a high resolution reconstruction, this demands a huge number of voxels. This paper presents a solution, how an iterative OSML reconstruction can be limited to a region of interest without loosing the advantages of a OSML reconstruction. Compared with a full FOV OSML reconstruction, the reconstruction speed mainly increases by the number of voxels, which are saved. In addition, less iterations are needed to achieve the same result.

Citation Download Citation

Andy Ziegler, Tim Nielsen, and Michael Grass "Iterative reconstruction of a region of interest for transmission tomography", Proc. SPIE 6142, Medical Imaging 2006: Physics of Medical Imaging, 614223 (2 March 2006); https://doi.org/10.1117/12.650666

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