Evidence map›Paper›PMID 31239424›Full record

ArticlePhysics in medicine and biology2019

A preclinical PET detector constructed with a monolithic scintillator ring.

Jianfeng Xu, Siwei Xie, Xi Zhang, Weijie Tao, Jingwu Yang, Zhixiang Zhao, Fenghua Weng, Qiu Huang, Fei Yi, Qiyu Peng

Open access · greenAbstract read
In one paragraph

Article in Physics in medicine and biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Experimental validation of a rodent PET scanner prototype based on a single LYSO crystal tube.IEEE transactions on radiation and plasma medical sciences · 2022
    Article
  3. Article
  4. Article
  5. Calibration Methodology of an Edgeless PET System Prototype.IEEE Nuclear Science Symposium conference record. Nuclear Science Symposium
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 2 countries.

Jianfeng XuState Key Lab of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China.
Siwei XieState Key Lab of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China.
Xi ZhangState Key Lab of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China.ORCID 0000-0002-4918-0810
Weijie TaoSchool of Biomedical Engineering, Shanghai Jiaotong University, Shanghai 200025, People's Republic of China.
Jingwu YangState Key Lab of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China.
Zhixiang ZhaoSchool of Biomedical Engineering, Shanghai Jiaotong University, Shanghai 200025, People's Republic of China.
Fenghua WengSchool of Biomedical Engineering, Shanghai Jiaotong University, Shanghai 200025, People's Republic of China.
Qiu HuangSchool of Biomedical Engineering, Shanghai Jiaotong University, Shanghai 200025, People's Republic of China.
Fei YiSchool of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China.
Qiyu PengDepartment of Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States of America.
Huazhong University of Science and Technology · CNShanghai Jiao Tong University · CNLawrence Berkeley National Laboratory · US

Funding

Exploring the Benefits of Time-of-Flight PETR01EB006085 · NIBIB · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI PENG, QIYU · 2007 to 2016
$5.6M
NIBIB NIH HHS R01 EB006085
6 · The paper itself

Abstract

This paper presents a unique preclinical positron emission tomography (PET) detector constructed with a monolithic scintillator ring (MSR) and two rings of silicon photomultipliers (SiPM). The inner diameter, outer diameter and length of the MSR were 48.5 mm, 58.5 mm, and 25.1 mm, respectively. The two SiPM rings, constructed with 46 SiPMs, were air-coupled to the two ends of the MSR detector. The center of gravity (COG) and artificial neural network (ANN) methods were adapted to decode the positions of the gamma interactions in the circumferential (θ) and axial (Z) directions, respectively. Collimating systems, consisting of a tungsten collimator and a high-precision displacement and rotating platform, were constructed to assess the decoding accuracies of the MSR detector in both θ and Z directions. The average intrinsic full-width half maximums (FWHMs) and mean absolute errors (MAEs) of the decoding accuracies were 0.94 mm and 0.33 mm in the circumferential direction, 2.45 mm and 1.08 mm in the axial direction. An energy resolution of 10.7% was measured at 511 keV. The scintillating photons generated by a pair of coincidence gamma photons overlap with each other, and cause circumferential parallax errors in the lines of response (LOR). The experimental results show that the average FWHM errors in the θ direction increased slightly from 0.94 mm to 1.14 mm when Δθ of the two single events was larger than 70°. The imaging performance of the MSR detector was also initially assessed with a Derenzo phantom filled with

Indexed as

Gamma RaysPhantoms, ImagingPhotonsPositron-Emission Tomography

Identifiers

PMID31239424
PMCPMC6692080
OpenAlexW2955816689

What OpenQuestion holds

Textmetadata
LicenceTDM
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.