Evidence map›Paper›PMID 33304618›Full record

ArticleBiomedical physics & engineering express2019

Development of a scanner-specific simulation framework for photon-counting computed tomography.

Ehsan Abadi, Brian Harrawood, Jayasai R Rajagopal, Shobhit Sharma, Anuj Kapadia, William Paul Segars, Karl Stierstorfer, Martin Sedlmair, Elizabeth Jones, Ehsan Samei

Open access · greenAbstract read
In one paragraph

Article in Biomedical physics & engineering express, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Development of a separability index for task specific characterization of spectral computed tomography.Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) · 2024
    Article
  20. 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 1 institution in 1 country.

Ehsan AbadiCarl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University, Durham, NC, United States of America.ORCID 0000-0002-9123-5854
Brian HarrawoodCarl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University, Durham, NC, United States of America.
Jayasai R RajagopalCarl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University, Durham, NC, United States of America.
Shobhit SharmaCarl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University, Durham, NC, United States of America.
Anuj KapadiaCarl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University, Durham, NC, United States of America.
William Paul SegarsCarl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University, Durham, NC, United States of America.
Karl StierstorferCarl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University, Durham, NC, United States of America.
Martin SedlmairCarl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University, Durham, NC, United States of America.
Elizabeth JonesCarl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University, Durham, NC, United States of America.
Ehsan SameiCarl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University, Durham, NC, United States of America.
Duke University · US

Funding

TR&D Project 3: Virtual ReadersP41EB028744 · NIBIB · DUKE UNIVERSITY · PI Ehsan Samei · 2021 to 2026
$7.8M
Simulation Tools for Dynamic CTR01EB001838 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI SAMEI, EHSAN, SEGARS, WILLIAM P · 2005 to 2023
$6.9M
Precision Cardiac CT: Development of a Computational Platform for Optimizing ImagingR01HL131753 · NHLBI · DUKE UNIVERSITY · PI SAMEI, EHSAN, SEGARS, WILLIAM P · 2017 to 2020
$2.7M
NHLBI NIH HHS R01 HL131753NIBIB NIH HHS P41 EB028744NIBIB NIH HHS R01 EB001838
6 · The paper itself

Abstract

The aim of this study was to develop and validate a simulation platform that generates photon-counting CT images of voxelized phantoms with detailed modeling of manufacturer-specific components including the geometry and physics of the x-ray source, source filtrations, anti-scatter grids, and photon-counting detectors. The simulator generates projection images accounting for both primary and scattered photons using a computational phantom, scanner configuration, and imaging settings. Beam hardening artifacts are corrected using a spectrum and threshold dependent water correction algorithm. Physical and computational versions of a clinical phantom (ACR) were used for validation purposes. The physical phantom was imaged using a research prototype photon-counting CT (Siemens Healthcare) with standard (macro) mode, at four dose levels and with two energy thresholds. The computational phantom was imaged with the developed simulator with the same parameters and settings used in the actual acquisition. Images from both the real and simulated acquisitions were reconstructed using a reconstruction software (FreeCT). Primary image quality metrics such as noise magnitude, noise ratio, noise correlation coefficients, noise power spectrum, CT number, in-plane modulation transfer function, and slice sensitivity profiles were extracted from both real and simulated data and compared. The simulator was further evaluated for imaging contrast materials (bismuth, iodine, and gadolinium) at three concentration levels and six energy thresholds. Qualitatively, the simulated images showed similar appearance to the real ones. Quantitatively, the average relative error in image quality measurements were all less than 4% across all the measurements. The developed simulator will enable systematic optimization and evaluation of the emerging photon-counting computed tomography technology.

Indexed as

computational phantomscomputed tomographyphoton-countingphoton-counting computed tomographysimulationvirtual clinical trial

Identifiers

PMID33304618
PMCPMC7725233
OpenAlexW2964982260

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.