A new simultaneous whole-body PET/CT imaging geometry based on the OpenPET imaging structure has been
proposed. In this geometry, multiple x-ray sources are adopted to implement the same field of view at the exactly same
time for the simultaneous PET and CT imaging process. In this paper, we conducted further quantitative analysis to the
new geometry by computer simulation. Then we examined and compared the iterative and analytical algorithms in terms
of image quality, regarding the features of the geometry. Results indicated better images were acquired with the iterative
algorithms under this geometry for the whole-body range rather than the analytical method. Improved reconstruction
images were still expected with generalization of modified algorithm for the proposed geometry. Technical
implementation of the geometry in clinical application should also be further considered.
The simultaneous imaging system of PET and Fluorescent CT is being developed in the National Institute of
Radiological Science in Japan. For the simultaneous system, we are considering using the DOI-PET detectors as
simultaneous detectors of the gamma ray for PET and NIR light for fluorescence by changing the upper reflectors to the
dichroic mirrors. Here, DOI-PET detector has very low spatial resolution to the NIR light compared to basically used
CCD cameras. However, since the NIR light is scattered by biological tissues, it can be possible to reconstruct valuable
image from the data which acquired from low resolution devices. In this study, we show feasibility for the Fluorescent
CT imaging using the DOI-PET detector by computer simulations. In the simulations, we used a cubic phantom and
square shaped detector geometry and a diffusion equation to approximate the light propagation. The system matrices of
the Fluorescent CT geometries having different detector resolutions are calculated and we evaluated the singular values
of the matrices. Using the system matrices, we simulated the image reconstruction from observed data which is
generated by simulation and noise added. As a result, it is confirmed the reconstructed image from low resolution
detectors is as same level as one from higher resolution detectors.
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