Evidence map›Paper›PMID 39493263›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2021

Back-end readout electronic design and initial results: a head-and-neck dedicated PET system based on CZT.

Yuli Wang, Ryan Herbst, Shiva Abbaszadeh

Abstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

3 authors.

Yuli WangDepartment of Electrical and Computer Engineering, University of California, Santa Cruz, Santa Cruz, CA, 95064.
Ryan HerbstSLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, CA 94025.
Shiva AbbaszadehDepartment of Electrical and Computer Engineering, University of California, Santa Cruz, Santa Cruz, CA, 95064.

Funding

High spatial resolution dedicated head and neck PET system based on cadmium zinc telluride detectorsR01EB028091 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI ABBASZADEH, SHIVA · 2018 to 2021
$2.6M
NIBIB NIH HHS R01 EB028091
6 · The paper itself

Abstract

Cadmium zinc telluride (CZT) radiation detectors are suitable for various applications, due to good energy performance at room temperature and simple pixilation to achieve high spatial resolution. Our group is developing a two-panel head-and-neck dedicated positron emission tomography (PET) system with CZT detectors. In this work, we present the back-end readout electronic design and the initial electronic noise results of our system. The back-end readout electronic incorporates RENA boards (a total 150 RENA boards for each panel), 30:1 fan-in boards connecting 30 RENA boards to the PicoZed 7010/7020 board (a total 5 fan-in boards for each panel). In each panel, 5:1 intermediate boards are used for biasing CZT detectors. The RENA board and the Picozed board are capable of data transmission of 50 Mbps and 6.6 Gbps, respectively. Electronic noise was also quantified using a square wave test pulse that provides charge injection into each channel of the RENA chip in the amount of 75fC/Volt. The pulse amplitude was chosen to generate approximately the same amount of charges as 511 keV photon would provide for each channels. The FWHM electronic noise at 511 keV was measured to be less than 1% (FWHM of 7.80 ± 1.47 ADC units or 4.89 ± 0.92 keV after conversion).

Indexed as

back-end readout electronicCadmium zinc telluride (CZT)electronic noiseenergy resolutionPositron emission tomography (PET)

Identifiers

PMID39493263
PMCPMC11530711

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.