@article{oai:repo.qst.go.jp:00048679,
 author = {Ahmed, Abdella and Tashima, Hideaki and Yamaya, Taiga and Ａｈｍｅｄ Ａｂｄｅｌｌａ Ｍｏｈａｍｍｅｄｎｕｒ and 田島 英朗 and 山谷 泰賀},
 issue = {1},
 journal = {Radiological Physics and Technology},
 month = {Oct},
 note = {The dominant factor limiting the intrinsic spatial resolution of a positron emission tomography (PET) system is the size of the crystal elements in the detector. To increase sensitivity and achieve high spatial resolution, it is essential to use advanced depth-of-interaction (DOI) detectors and arrange them close to the subject. The DOI detectors help maintain high spatial resolution by mitigating the parallax error caused by the thickness of the scintillator near the peripheral regions of the field-of-view. As an optimal geometry for a brain PET scanner, with high sensitivity and spatial resolution, we proposed and developed the helmet–chin PET scanner using 54 four-layered DOI detectors consisting of a 16 × 16 × 4 array of GSOZ scintillator crystals with dimensions of 2.8 × 2.8 × 7.5 mm3. All the detectors used in the helmet–chin PET scanner had the same spatial resolution. In this study, we conducted a feasibility study of a new add-on detector arrangement for the helmet PET scanner by replacing the chin detector with a segmented crystal cube, having high spatial resolution in all directions, which can be placed inside the mouth. The crystal cube (which we have named the mouth-insert detector) has an array of 20 × 20 × 20 LYSO crystal segments with dimensions of 1 × 1 × 1 mm3. Thus, the scanner is formed by the combination of the helmet and mouth-insert detectors, and is referred to as the helmet–mouth-insert PET scanner. The results show that the helmet–mouth-insert PET scanner has comparable sensitivity and improved spatial resolution near the center of the hemisphere, compared to the helmet–chin PET scanner.},
 pages = {7--12},
 title = {Investigation of spatial resolution improvement by use of a mouth-insert detector in the helmet PET scanner},
 volume = {11},
 year = {2017}
}