Evidence map›Paper›PMID 35975670›Full record

ArticleMedical physics2022

Spectral calibration of photon-counting detectors at high photon flux.

Emil Y Sidky, Emily R Paul, Taly Gilat-Schmidt, Xiaochuan Pan

Abstract read
In one paragraph

Article in Medical physics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Framework for evaluating photon-counting detectors under pile-up conditions.Journal of medical imaging (Bellingham, Wash.) · 2024
    Article
  6. Review
  7. Article
  8. [A comprehensive review on photon-counting computed tomography: Principles, technical hurdles and analysis of clinical applications].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023
    Review
  9. 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

4 authors.

Emil Y SidkyDepartment of Radiology, The University of Chicago, Chicago, Illinois, USA.
Emily R PaulDepartment of Radiology, The University of Chicago, Chicago, Illinois, USA.
Taly Gilat-SchmidtDepartment of Biomedical Engineering, Marquette University and Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Xiaochuan PanDepartment of Radiology, The University of Chicago, Chicago, Illinois, USA.

Funding

Advanced iterative image reconstruction for digital breast tomosynthesis - Resubmission 01R01EB026282 · NIBIB · UNIVERSITY OF CHICAGO · PI PAN, XIAOCHUAN, SIDKY, EMIL Y · 2018 to 2021
$2.1M
Spectral CT metal artifact correctionR01EB023968 · NIBIB · MARQUETTE UNIVERSITY · PI SCHMIDT, TALY GILAT, SIDKY, EMIL Y · 2019 to 2022
$1.4M
Algorithm-Enabled Auto-Calibrating Quantitative Dual-Energy CTR21CA263660 · NCI · UNIVERSITY OF CHICAGO · PI PAN, XIAOCHUAN · 2022 to 2023
$414k
NCI NIH HHS R21 CA263660NIBIB NIH HHS R01 EB023968NIBIB NIH HHS R01 EB026282NIH HHS R01-EB023968NIH HHS R01-EB026282NIH HHS R21-CA263660
6 · The paper itself

Abstract

backgroundCalibration of photon-counting detectors (PCDs) is necessary for quantitatively accurate spectral computed tomography (CT), but the calibration process can be complicated by nonlinear flux-dependent physical factors such as pulse pile-up. PURPOSE: This work develops a method for spectral sensitivity calibration of a PCD-based spectral CT system that incorporates nonlinear flux dependence and can thus be employed at high photon flux.

methodsA calibration model for the spectral response and polynomial flux dependence is proposed, which incorporates prior x-ray source spectrum and PCD models and that has a small set of parameters for adjusting to the spectral CT system of interest. The model parameters are determined by fitting transmission data from a known object of known composition: a step-wedge phantom composed of different thicknesses of aluminum, a bone equivalent, and polymethyl methacrylate (PMMA), a soft-tissue equivalent. This fitting employs Tikhonov regularization, and the regularization strength and the polynomial order for the intensity modeling are determined by bias and variance analysis. The spectral calibration and nonlinear intensity correction is validated on transmission measurements through a third material, Teflon, at different x-ray photon flux levels.

resultsThe nonlinear intensity dependence is determined to be accurately accounted for with a third-order polynomial. The calibrated spectral CT model accurately predicts Teflon transmission to within 1% for flux levels up to 50% of the detector maximum.

conclusionsThe proposed PCD calibration method enables accurate physical modeling necessary for quantitative imaging in spectral CT. Furthermore, the model applies to high flux settings so that acquisition times will not be limited by restricting the spectral CT system to low flux levels.

Indexed as

AluminumPolymethyl MethacrylateCalibrationPhantoms, ImagingPhotonsPolytetrafluoroethyleneAluminumPolymethyl MethacrylatePolytetrafluoroethylenecalibrationphoton-counting detectorsspectrum estimation

Identifiers

PMID35975670
PMCPMC9588681

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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.