Literature DB >> 32325448

245 ps-TOF brain-dedicated PET prototype with a hemispherical detector arrangement.

Eiji Yoshida1, Hideaki Tashima, Go Akamatsu, Yuma Iwao, Miwako Takahashi, Taichi Yamashita, Taiga Yamaya.   

Abstract

Brain PET, which has led research in molecular imaging and diagnosis of brain cancer, epilepsy and neurodegenerative disorders, is being spotlighted again to promote earlier diagnosis of dementia with the advent of amyloid and tau tracers. To meet this demand, in this paper, we developed a brain-dedicated PET imaging device with a hemispherical detector arrangement, which provides comparable sensitivity with fewer detectors than conventional cylindrical geometries. The introduction of the time-of-flight (TOF) measurement capability was a key point for the development to get a gain in the image signal-to-noise ratio. Currently, whole-body PET scanners with around 200-400 ps coincidence resolving time (CRT) are commercially available. In order to obtain the same TOF gain which can be obtained with 400 ps CRT for a 30 cm diameter object, 267 ps CRT will be required for a 20 cm diameter object such as the human head. In this work, therefore, we aimed at developing a TOF brain-dedicated PET prototype with the hemisphere detector arrangement and the CRT faster than 267 ps. The detector was composed of a 12 × 12 lutetium fine silicate (LFS) array coupled with a 12 × 12 multi-pixel photon counter (MPPC) array. Each LFS crystal with a size of 4.14 × 4.14 × 10 mm3 was individually coupled to a separate MPPC. Singles list-mode data from each detector were stored, and coincidences were identified using a coincidence-detection software algorithm. The CRT of 245 ps was finally achieved as the system average after a fine timing correction. For image reconstruction, we implemented the list-mode TOF-OSEM. For a small rod phantom, rods of 3 mm diameter were clearly separated. Also, images of the 3D Hoffman brain phantom, which demonstrated clear contrast between gray and white matter, supported the effect of TOF information.

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Year:  2020        PMID: 32325448     DOI: 10.1088/1361-6560/ab8c91

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  4 in total

1.  Deep-TOF-PET: Deep learning-guided generation of time-of-flight from non-TOF brain PET images in the image and projection domains.

Authors:  Amirhossein Sanaat; Azadeh Akhavanalaf; Isaac Shiri; Yazdan Salimi; Hossein Arabi; Habib Zaidi
Journal:  Hum Brain Mapp       Date:  2022-09-10       Impact factor: 5.399

2.  Performance evaluation of dedicated brain PET scanner with motion correction system.

Authors:  Yuya Onishi; Takashi Isobe; Masanori Ito; Fumio Hashimoto; Tomohide Omura; Etsuji Yoshikawa
Journal:  Ann Nucl Med       Date:  2022-06-13       Impact factor: 2.258

3.  Brain PET motion correction using 3D face-shape model: the first clinical study.

Authors:  Yuma Iwao; Go Akamatsu; Hideaki Tashima; Miwako Takahashi; Taiga Yamaya
Journal:  Ann Nucl Med       Date:  2022-07-19       Impact factor: 2.258

4.  Small nuclei identification with a hemispherical brain PET.

Authors:  Miwako Takahashi; Go Akamatsu; Yuma Iwao; Hideaki Tashima; Eiji Yoshida; Taiga Yamaya
Journal:  EJNMMI Phys       Date:  2022-10-08
  4 in total

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