Real time Method based on SVM for Depth-of-Interaction Identification in PET Scanners | ||||
| Arab Journal of Nuclear Sciences and Applications | ||||
| Article 11, Volume 55, Issue 2, April 2022, Page 104-112 PDF (933.43 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/ajnsa.2021.92418.1506 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Mahmoud Sayed Kmel   1; Hassan Ibrahim Saleh 2; Amany Abdel Aziz Arafa 3
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| 1Radiation enginerring department, national ceter fro radiation research and technology, Egyptian Atomic Energy Authority | ||||
| 2Radiation Engineering Dept., | ||||
| 3Radiation Engineering Department, National Center for Radiation Research and Technology, Cairo, Egypt | ||||
| Abstract | ||||
| Positron Emission Tomography (PET) scanners are based on a ring of scintillation detectors where each detector is comprised of an array of crystals usually coupled to a photosensor. The parallax error is the common error that degrades the spatial resolution of the reconstructed image in the PET scanners. This error resulted from the misidentification of the exact depth-of-interaction (DOI). Phoswich based detector has been used as a solution to accurately identifying the DOI. The pulses emitted from the scintillation crystal layer of this detector are discriminated based on the Pulse Shape Discrimination (PSD) method. In this paper, a high rate merged PSD method which depends on only half of the scintillation pulse is proposed to enhance the performance of PET scanners. The frequency transform (discrete cosine transform or discrete sine transform) is merged with the supportvector machine (SVM) classifier. The PSD method is verified by discriminating 100 000 scintillation pulses of both LSO and LuYAP crystal. The event rate was 24.5 M events/sec. Therefore, the proposed method realizes a high real-time event rate which nominates it for a ClearPET small animal PET scanner. The discrimination efficiency was kept as 91.36% by merging DST4 with the linear kernel of SVM. | ||||
| Keywords | ||||
| Pulse Shape Discrimination; DCT; DST; SVM. | ||||
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