Home > Publications Database > Development and evaluation of a new high-TOF-resolution all-digital brain PET system. > print |
001 | 267061 | ||
005 | 20240403131600.0 | ||
024 | 7 | _ | |a 10.1088/1361-6560/ad164d |2 doi |
024 | 7 | _ | |a pmid:38100841 |2 pmid |
024 | 7 | _ | |a 0031-9155 |2 ISSN |
024 | 7 | _ | |a 1361-6560 |2 ISSN |
037 | _ | _ | |a DZNE-2024-00070 |
041 | _ | _ | |a English |
082 | _ | _ | |a 530 |
100 | 1 | _ | |a Fang, Lei |b 0 |
245 | _ | _ | |a Development and evaluation of a new high-TOF-resolution all-digital brain PET system. |
260 | _ | _ | |a Bristol |c 2024 |b IOP Publ. |
336 | 7 | _ | |a article |2 DRIVER |
336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1707466070_2405 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a ARTICLE |2 BibTeX |
336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
520 | _ | _ | |a Objective.Time-of-flight (TOF) capability and high sensitivity are essential for brain-dedicated positron emission tomography (PET) imaging, as they improve the contrast and the signal-to-noise ratio (SNR) enabling a precise localization of functional mechanisms in the different brain regions.Approach.We present a new brain PET system with transverse and axial field-of-view (FOV) of 320 mm and 255 mm, respectively. The system head is an array of 6 × 6 detection elements, each consisting of a 3.9 × 3.9 × 20 mm3lutetium-yttrium oxyorthosilicate crystal coupled with a 3.93 × 3.93 mm2SiPM. The SiPMs analog signals are individually digitized using the multi-voltage threshold (MVT) technology, employing a 1:1:1 coupling configuration.Main results.The brain PET system exhibits a TOF resolution of 249 ps at 5.3 kBq ml-1, an average sensitivity of 22.1 cps kBq-1, and a noise equivalent count rate (NECR) peak of 150.9 kcps at 8.36 kBq ml-1. Furthermore, the mini-Derenzo phantom study demonstrated the system's ability to distinguish rods with a diameter of 2.0 mm. Moreover, incorporating the TOF reconstruction algorithm in an image quality phantom study optimizes the background variability, resulting in reductions ranging from 44% (37 mm) to 75% (10 mm) with comparable contrast. In the human brain imaging study, the SNR improved by a factor of 1.7 with the inclusion of TOF, increasing from 27.07 to 46.05. Time-dynamic human brain imaging was performed, showing the distinctive traits of cortex and thalamus uptake, as well as of the arterial and venous flow with 2 s per time frame.Significance.The system exhibited a good TOF capability, which is coupled with the high sensitivity and count rate performance based on the MVT digital sampling technique. The developed TOF-enabled brain PET system opens the possibility of precise kinetic brain PET imaging, towards new quantitative predictive brain diagnostics. |
536 | _ | _ | |a 899 - ohne Topic (POF4-899) |0 G:(DE-HGF)POF4-899 |c POF4-899 |f POF IV |x 0 |
588 | _ | _ | |a Dataset connected to CrossRef, PubMed, , Journals: pub.dzne.de |
650 | _ | 7 | |a 249 ps |2 Other |
650 | _ | 7 | |a Brain PET |2 Other |
650 | _ | 7 | |a MVT sampling method |2 Other |
650 | _ | 7 | |a TOF |2 Other |
650 | _ | 7 | |a lutetium orthosilicate |2 NLM Chemicals |
650 | _ | 7 | |a Lutetium |0 5H0DOZ21UJ |2 NLM Chemicals |
650 | _ | 7 | |a Silicates |2 NLM Chemicals |
650 | _ | 2 | |a Humans |2 MeSH |
650 | _ | 2 | |a Positron-Emission Tomography: methods |2 MeSH |
650 | _ | 2 | |a Brain: diagnostic imaging |2 MeSH |
650 | _ | 2 | |a Signal-To-Noise Ratio |2 MeSH |
650 | _ | 2 | |a Phantoms, Imaging |2 MeSH |
650 | _ | 2 | |a Lutetium |2 MeSH |
650 | _ | 2 | |a Silicates |2 MeSH |
700 | 1 | _ | |a Zhang, Bo |b 1 |
700 | 1 | _ | |a Li, Bingxuan |b 2 |
700 | 1 | _ | |a Zhang, Xiangsong |b 3 |
700 | 1 | _ | |a Zhou, Xiaoyun |b 4 |
700 | 1 | _ | |a Yang, Jigang |b 5 |
700 | 1 | _ | |a Li, Ang |0 P:(DE-HGF)0 |b 6 |
700 | 1 | _ | |a Shi, Xinchong |b 7 |
700 | 1 | _ | |a Liu, Yuqing |b 8 |
700 | 1 | _ | |a Kreißl, Michael |0 P:(DE-2719)2812799 |b 9 |u dzne |
700 | 1 | _ | |a D'Ascenzo, Nicola |0 0000-0002-3657-3607 |b 10 |
700 | 1 | _ | |a Xiao, Peng |b 11 |
700 | 1 | _ | |a Xie, Qingguo |b 12 |
773 | _ | _ | |a 10.1088/1361-6560/ad164d |g Vol. 69, no. 2, p. 025019 - |0 PERI:(DE-600)1473501-5 |n 2 |p 025019 |t Physics in medicine and biology |v 69 |y 2024 |x 0031-9155 |
856 | 4 | _ | |u https://pub.dzne.de/record/267061/files/DZNE-2024-00070_Restricted.pdf |
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