Evidence map›Paper›PMID 33778232›Full record

ArticleIEEE transactions on radiation and plasma medical sciences2018

Quantitative 4D-PET reconstruction for small animal using SMEIR-reconstructed 4D-CBCT.

Yuncheng Zhong, Faraz Kalantari, You Zhang, Yiping Shao, Jing Wang

Open access · greenAbstract read
In one paragraph

Article in IEEE transactions on radiation and plasma medical sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 1 institution in 1 country.

Yuncheng ZhongMedical Physics and Engineering Division in the Department of Radiation Oncology, the University of Texas Southwestern Medical Center, Dallas, TX.
Faraz KalantariMedical Physics and Engineering Division in the Department of Radiation Oncology, the University of Texas Southwestern Medical Center, Dallas, TX.
You ZhangMedical Physics and Engineering Division in the Department of Radiation Oncology, the University of Texas Southwestern Medical Center, Dallas, TX.
Yiping ShaoMedical Physics and Engineering Division in the Department of Radiation Oncology, the University of Texas Southwestern Medical Center, Dallas, TX.
Jing WangMedical Physics and Engineering Division in the Department of Radiation Oncology, the University of Texas Southwestern Medical Center, Dallas, TX.
The University of Texas Southwestern Medical Center · US

Funding

Advanced micro-PET/CT/RT System for Translational Radiation Oncology ApplicationsR01EB019438 · NIBIB · UT SOUTHWESTERN MEDICAL CENTER · PI SHAO, YIPING · 2015 to 2020
$1.5M
Next generation 4D-CBCT for lung cancer radiation therapyR01EB020366 · NIBIB · UT SOUTHWESTERN MEDICAL CENTER · PI WANG, JING · 2015 to 2018
$1.4M
NIBIB NIH HHS R01 EB019438NIBIB NIH HHS R01 EB020366
6 · The paper itself

Abstract

Respiratory motions in small animals PET cause image degradation during reconstruction. This work aims to develop a motion compensated 4D-PET reconstruction method using accurate motion corrections and attenuation corrections from 4D-CBCT images reconstructed using a simultaneous motion estimation and image reconstruction (SMEIR) method. Projections of 4D-CBCT were calculated using a ray-tracing method on a digital 4D rat phantom, and list-mode data of 4D-PET with matched respiratory phases were simulated using the GATE Monte Carlo package. The respiratory rate was set at 1.0 second per cycle with 10 phases of 30 projection images each. 4D-CBCT images were reconstructed using the SMEIR method and motion information and linear attenuation from 4D-CBCT were subsequently used for motion compensated 4D-PET reconstruction and attenuation corrections. We quantitatively evaluate the reconstructed 4D-PET using the errors of tumor volume and standard uptake values of tumors with different sizes. The tumor motion was successfully reconstructed and showed good agreement with the original phantom. The proposed method reduced tumor volume errors and standard uptake value errors. For tumor diameters of 3.0, 4.5, and 6.0 mm, the tumor volume errors are 32.5%, 29.2% and 19.4% respectively with motion compensation and 45.1%, 37.5% and 20.2% respectively without compensation.

Indexed as

4D-CBCT SMEIR reconstruction4D-PET reconstructionhigh resolution in-vitro imagingmultimodality image reconstructionpreclinical imaging

Identifiers

PMID33778232
PMCPMC7996390
OpenAlexW2793867720

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.