Evidence map›Paper›PMID 34117943›Full record

ArticleEJNMMI physics2021

Design and system evaluation of a dual-panel portable PET (DP-PET).

Tianyi Zeng, Jiaxu Zheng, Xinyuan Xia, Xin Chen, Beien Wang, Shuangyue Zhang, Adam Chandler, Tuoyu Cao, Lingzhi Hu, Qun Chen and 1 more

Open access · goldAbstract read
In one paragraph

Article in EJNMMI physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

11 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Dynamic Human Brain Imaging with a Portable PET Camera: Comparison to a Standard Scanner.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024
    Article
  8. Article
  9. Review
  10. Cross-Attention for Improved Motion Correction in Brain PET.Machine learning in clinical neuroimaging : 6th international workshop, MLCN 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, proceedings. MLCN (Workshop) (6th : 2023 : Vancouver, B.C.) · 2023
    Article
  11. 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

11 authors at 2 institutions in 1 country.

Tianyi ZengShanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, China.
Jiaxu ZhengShanghai United Imaging Healthcare Co., Ltd., Shanghai, 201807, China.
Xinyuan XiaShanghai United Imaging Healthcare Co., Ltd., Shanghai, 201807, China.
Xin ChenShanghai United Imaging Healthcare Co., Ltd., Shanghai, 201807, China.
Beien WangShanghai United Imaging Healthcare Co., Ltd., Shanghai, 201807, China.
Shuangyue ZhangShanghai United Imaging Healthcare Co., Ltd., Shanghai, 201807, China.
Adam ChandlerUnited Imaging Healthcare, America, Houston, TX, 77054, USA.
Tuoyu CaoShanghai United Imaging Healthcare Co., Ltd., Shanghai, 201807, China.
Lingzhi HuUnited Imaging Healthcare, America, Houston, TX, 77054, USA. hlingzhi@gmail.com.ORCID http://orcid.org/0000-0001-5355-3803
Qun ChenShanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, China.
Xu ChuShanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, China.
United Imaging Healthcare (China) · CNChinese Academy of Sciences · CN

Funding

Ministry of Science and Technology of the People's Republic of China 2016YFC0103900
6 · The paper itself

Abstract

backgroundIntegrated whole-body PET/MR technology continues to mature and is now extensively used in clinical settings. However, due to the special design architecture, integrated whole-body PET/MR comes with a few inherent limitations. Firstly, whole-body PET/MR lacks sensitivity and resolution for focused organs. Secondly, broader clinical access of integrated PET/MR has been significantly restricted due to its prohibitively high cost. The MR-compatible PET insert is an independent and removable PET scanner which can be placed within an MRI bore. However, the mobility and configurability of all existing MR-compatible PET insert prototypes remain limited.

methodsAn MR-compatible portable PET insert prototype, dual-panel portable PET (DP-PET), has been developed for simultaneous PET/MR imaging. Using SiPM, digital readout electronics, novel carbon fiber shielding, phase-change cooling, and MRI compatible battery power, DP-PET was designed to achieve high-sensitivity and high-resolution with compatibility with a clinical 3-T MRI scanner. A GPU-based reconstruction method with resolution modeling (RM) has been developed for the DP-PET reconstruction. We evaluated the system performance on PET resolution, sensitivity, image quality, and the PET/MR interference.

resultsThe initial results reveal that the DP-PET prototype worked as expected in the MRI bore and caused minimal compromise to the MRI image quality. The PET performance was measured to show a spatial resolution ≤ 2.5 mm (parallel to the detector panels), maximum sensitivity = 3.6% at the center of FOV, and energy resolution = 12.43%. MR pulsing introduces less than 2% variation to the PET performance measurement results.

conclusionsWe developed a MR-compatible PET insert prototype and performed several studies to begin to characterize the performance of the proposed DP-PET. The results showed that the proposed DP-PET performed well in the MRI bore and would cause little influence on the MRI images. The Derenzo phantom test showed that the proposed reconstruction method could obtain high-quality images using DP-PET.

Indexed as

MR-compatible PETPET insertPotable PETSystem performance

Identifiers

PMID34117943
PMCPMC8197684
OpenAlexW3137924360

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.