Recent progress of MPPC-based scintillation detectors in high precision X-ray and gamma-ray imaging

Kataoka, J.; Kishimoto, A.; Fujita, Takuya; Nishiyama, T.; Kurei, Y.; Tsujikawa, Takayuki; Oshima, T.; Taya, T.; Iwamoto, Yasuhiro; Ogata, Hiroaki; Okochi, Hiroshi; Ohsuka, Shinji; Ikeda, Hayato; Yamamoto, Seiichi

doi:10.1016/j.nima.2014.11.004

Cited by 57 publications

(35 citation statements)

References 22 publications

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“…In the meantime, the scintillator thickness makes the position of the gamma ray interaction uncertain, especially in the depth of interaction (DOI) directions. We therefore implemented 3-D position sensitive scintillators consisting of 2 mm cubic Ce:GAGG scintillators that can measure the gamma ray interaction position within a scintillator in 3-D 33,37,48 . In short, the reflector walls (BaSO 4 of 100µm thickness) divide side-by side crystals in the 2-D (XY ) direction, while a thin layer of air divides crystals in the DOI (Z) direction.…”

Section: D-pscc For Prompt Gamma-ray Imagingmentioning

confidence: 99%

“…The camera consisted of 20×20×5 arrays of Ce:GAGG pixels as a scatterer, whereas 20×20×10 arrays of Ce:GAGG pixels were used as an absorber. Unlike other Compton cameras developed in our group 33,[48][49][50] , we used two multi-anode PMTs (MAPMTs; Hamamatsu H12700A) of 8×8 anodes to readout the scintillation light from the right/left ends of the scintillator arrays. This is because the radiation tolerance of the MPPC is uncertain, particularly for damage caused by fast neutrons in proton beam facilities.…”

Section: D-pscc For Prompt Gamma-ray Imagingmentioning

confidence: 99%

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Precision imaging of 4.4 MeV gamma rays using a 3-D position sensitive Compton camera

Koide

Kataoka

Masuda

et al. 2018

Sci Rep

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Imaging of nuclear gamma-ray lines in the 1–10 MeV range is far from being established in both medical and physical applications. In proton therapy, 4.4 MeV gamma rays are emitted from the excited nucleus of either 12C* or 11B* and are considered good indicators of dose delivery and/or range verification. Further, in gamma-ray astronomy, 4.4 MeV gamma rays are produced by cosmic ray interactions in the interstellar medium, and can thus be used to probe nucleothynthesis in the universe. In this paper, we present a high-precision image of 4.4 MeV gamma rays taken by newly developed 3-D position sensitive Compton camera (3D-PSCC). To mimic the situation in proton therapy, we first irradiated water, PMMA and Ca(OH)2 with a 70 MeV proton beam, then we identified various nuclear lines with the HPGe detector. The 4.4 MeV gamma rays constitute a broad peak, including single and double escape peaks. Thus, by setting an energy window of 3D-PSCC from 3 to 5 MeV, we show that a gamma ray image sharply concentrates near the Bragg peak, as expected from the minimum energy threshold and sharp peak profile in the cross section of 12C(p,p)12C*.

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Section: D-pscc For Prompt Gamma-ray Imagingmentioning

confidence: 99%

Section: D-pscc For Prompt Gamma-ray Imagingmentioning

confidence: 99%

Precision imaging of 4.4 MeV gamma rays using a 3-D position sensitive Compton camera

Koide

Kataoka

Masuda

et al. 2018

Sci Rep

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“…Silicon photomultipliers (SiPM) developed by Hamamatsu Photonics K.K. have replaced photomultiplier tubes (PMT) in newer PET detector systems (5). The SiPM is a solid-state photon-counting device comprising 100 -> 10,000 avalanche photodiode pixels in the Geiger-mode.…”

Section: Introductionmentioning

confidence: 99%

Direct comparison of brain [18F]FDG images acquired by SiPM-based and PMT-based PET/CT: phantom and clinical studies

Wagatsuma

Sakata

Ishibashi

et al. 2020

Preprint

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Abstract Background: The silicon photomultiplier-positron emission tomography (SiPM-PET) developed by GE Healthcare has better sensitivity, spatial resolution, and timing resolution than photomultiplier tubes (PMT)-PET. The present study aimed to clarify the advantages of SiPM-PET in 18F-fluoro-2-deoxy-D-glucose ([18F]FDG) brain imaging in a head-to-head comparison with PMT-PET in phantom and clinical studies. Methods: Image contrast was calculated from images acquired from a Hoffman 3D brain phantom and image noise and uniformity were calculated from pooled images acquired from a pool phantom using SiPM- and PMT-PET. Sequential PMT-PET and SiPM-PET [18F]FDG images were acquired over a period of 10 min from 22 controls and 10 patients. All images were separately normalized to a standard [18F]FDG PET template, then mean standardized uptake values (SUVmean) and Z-score were calculated by MIMneuro and CortexID Suite, respectively. Results: Image contrast, image noise, and uniformity in SiPM-PET changed 19.2%, 3.5%, and -40.0% from PMT-PET, respectively. These physical indices of both PET scanners satisfied the criteria for acceptable image quality published by the Japanese Society of Nuclear Medicine of > 55%, ≤ 15% and ≤ 0.0249, respectively. The contrast in SiPM-PET was slightly improved using TOF. The SUVmean using SiPM-PET was significantly higher than PMT-PET and did not correlate with a time delay. Z-scores were also significantly higher in images acquired from SiPM-PET (except for the bilateral posterior cingulate) than PMT-PET because the peak signal that was extracted by the calculation of Z-score in CortexID Suite was raised. The area of hypometabolism in statistical maps was reduced and localized by SiPM-PET compared with PMT-PET regardless of whether the images were derived from controls or patients. Conclusions: The improved spatial resolution and sensitivity of SiPM-PET contributed to better image contrast and uniformity in brain [18F]FDG images. The SiPM-PET offers better quality and more accurate quantitation of brain PET images. The SUVmean and Z-score in SiPM-PET was higher than PMT-PET due to improving the PVEs. [18F]FDG images acquired using SiPM-PET will help to improve diagnostic outcomes based on statistical image analysis becausethe SiPM-PET would localize the distribution of glucose metabolism on Z-score maps.

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“…MPPC modules have been used in different application areas in recent years and it is expected to open up new applications in the photon counting region, such as fluorescence measurement, DNA analysis, environmental chemical analysis, high energy physics experiments, and many other fields [2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

“…Tests of the different types of MPPCs were carried out by Tsujikawa et al [4]. Kataoka et al [5] have used the MPPC module in medical imaging. Pulse width measurement was made via MPPC module by Taira et al [11].…”

Section: Introductionmentioning

confidence: 99%

Revealing <sup>226</sup>Ra Alpha Peak by a Multi-Pixel Photon Counter

Ermis¹

2018

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226 Ra alpha peak was revealed by a Multi-Pixel Photon Counter (MPPC) through a developed spectrometer. MPPC is consisted of silicon photomultipliers (Si-PM) which can be used for photon detection and measurement. It is one of the new generation counter types. It has been used in many research areas such as radiation detection and optics. So, this type detector was chosen so that this study is up-to-date. Main goal of the study is to obtain pure alpha energy spectrum because no study was found in the literature about the neat alpha spectrum by the MPPC. For this reason, coincidence gate method was used in the presented study to acquire the spectrum. In the first section, alpha spectrum was recorded directly via MPPC module. This spectrum had too much electronic noise. The spectrum was secondly obtained through the developed spectrometer. This second spectrum had not almost all noise components. Then, the obtained spectra were compared with each other at the final section. The asserted spectrometer was highly successful in obtaining neat alpha spectrum by reducing the most noise components. It has been realized that the neat source spectra of other radioactive sources can be achieved by using this spectrometer with MPPC. Additionally, students who work about radiation detection can use the suggested spectrometer in their experiments.

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Recent progress of MPPC-based scintillation detectors in high precision X-ray and gamma-ray imaging

Cited by 57 publications

References 22 publications

Precision imaging of 4.4 MeV gamma rays using a 3-D position sensitive Compton camera

Precision imaging of 4.4 MeV gamma rays using a 3-D position sensitive Compton camera

Direct comparison of brain [18F]FDG images acquired by SiPM-based and PMT-based PET/CT: phantom and clinical studies

Revealing <sup>226</sup>Ra Alpha Peak by a Multi-Pixel Photon Counter

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Recent progress of MPPC-based scintillation detectors in high precision X-ray and gamma-ray imaging

Cited by 57 publications

References 22 publications

Precision imaging of 4.4 MeV gamma rays using a 3-D position sensitive Compton camera

Precision imaging of 4.4 MeV gamma rays using a 3-D position sensitive Compton camera

Direct comparison of brain [18F]FDG images acquired by SiPM-based and PMT-based PET/CT: phantom and clinical studies

Revealing &lt;sup&gt;226&lt;/sup&gt;Ra Alpha Peak by a Multi-Pixel Photon Counter

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Revealing <sup>226</sup>Ra Alpha Peak by a Multi-Pixel Photon Counter