Evidence map›Paper›PMID 27487888›Full record

ArticleMedical physics2016

Technical Note: spektr 3.0-A computational tool for x-ray spectrum modeling and analysis.

J Punnoose, J Xu, A Sisniega, W Zbijewski, J H Siewerdsen

Abstract read
In one paragraph

Article in Medical physics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing 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

71 citing papers in PubMed.

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  10. Joint CT reconstruction of anatomy and implants using a mixed prior model.Journal of medical imaging (Bellingham, Wash.) · 2025
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  11. Multi-Material Decomposition Using Spectral Diffusion Posterior Sampling.IEEE transactions on bio-medical engineering · 2025
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  16. Imaging performance of a LaBrMedical physics · 2025
    Article
  17. Number of energy windows for photon counting detectors: is more actually more?Journal of medical imaging (Bellingham, Wash.) · 2024
    Article
  18. Calculation method for novel upright CT scanner isodose curves.Journal of applied clinical medical physics · 2024
    Article
  19. Article
  20. Article

11 more citing papers are in PubMed but not listed here.

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.

J PunnooseDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland 21205.
J XuDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland 21205.
A SisniegaDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland 21205.
W ZbijewskiDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland 21205.
J H SiewerdsenDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland 21205.

Funding

Image Science for the New X-ray: Taking NEQ to TaskR01CA112163 · NCI · UNIVERSITY HEALTH NETWORK · PI SIEWERDSEN, JEFFREY H · 2006 to 2014
$2.1M
NCI NIH HHS R01 CA112163
6 · The paper itself

Abstract

purposeA computational toolkit (spektr 3.0) has been developed to calculate x-ray spectra based on the tungsten anode spectral model using interpolating cubic splines (TASMICS) algorithm, updating previous work based on the tungsten anode spectral model using interpolating polynomials (TASMIP) spectral model. The toolkit includes a matlab (The Mathworks, Natick, MA) function library and improved user interface (UI) along with an optimization algorithm to match calculated beam quality with measurements.

methodsThe spektr code generates x-ray spectra (photons/mm(2)/mAs at 100 cm from the source) using TASMICS as default (with TASMIP as an option) in 1 keV energy bins over beam energies 20-150 kV, extensible to 640 kV using the TASMICS spectra. An optimization tool was implemented to compute the added filtration (Al and W) that provides a best match between calculated and measured x-ray tube output (mGy/mAs or mR/mAs) for individual x-ray tubes that may differ from that assumed in TASMICS or TASMIP and to account for factors such as anode angle.

resultsThe median percent difference in photon counts for a TASMICS and TASMIP spectrum was 4.15% for tube potentials in the range 30-140 kV with the largest percentage difference arising in the low and high energy bins due to measurement errors in the empirically based TASMIP model and inaccurate polynomial fitting. The optimization tool reported a close agreement between measured and calculated spectra with a Pearson coefficient of 0.98.

conclusionsThe computational toolkit, spektr, has been updated to version 3.0, validated against measurements and existing models, and made available as open source code. Video tutorials for the spektr function library, UI, and optimization tool are available.

Indexed as

Models, TheoreticalSpectrum AnalysisX-Rays

Identifiers

PMID27487888
PMCPMC4958109

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.