Abstract
The Voxel Imaging PET (VIP) Pathfinder project presents a new approach for the design of nuclear medicine imaging diagnostic devices by using highly segmented pixel CdTe sensors. State-of-the-art PET devices are made from scintillator crystals which have an energy resolution of about 10 %. Because of their limited energy resolution, the scatter fraction is relatively large. Their limited spatial resolution will introduce a parallax error and deficiency in the depth of interaction (DOI) determination (> 5 mm FWHM) and therefore a wrong line of response (LOR). In this study, we present a design for a breast dedicated PET based on CdTe detectors which have an energy resolution of about 1 % and can be easily segmented into small voxels for optimal spatial resolution to provide a solution for these setbacks. This simulation study will assess the advantages of this design for breast imaging purposes.
Keywords
- Unit Module
- Scatter Fraction
- Positron Emission Mammograph
- Parallax Error
- Coincidence Window
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Notes
- 1.
Note that this only affects the triggering pixel. All other pixels in the detector are still ready to measure new events.
- 2.
Note that the NEMA NU 4-2008 standard to measure the SF is different from the previously described standard to measure sensitivity.
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Acknowledgements
This work has received funding from the European Research Council under the European Union’s Seventh Framework Programme (ERC Grant Agreement 250207, “VIP”). We also acknowledge the support from the Spanish MINECO under the Severo Ochoa excellence program (grant SO-2012-0234).
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Kolstein, M., Chmeissani, M. (2016). Simulation of Positron Emission Mammography Imaging with Pixelated CdTe. . In: Tingberg, A., Lång, K., Timberg, P. (eds) Breast Imaging. IWDM 2016. Lecture Notes in Computer Science(), vol 9699. Springer, Cham. https://doi.org/10.1007/978-3-319-41546-8_16
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DOI: https://doi.org/10.1007/978-3-319-41546-8_16
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