Evidence map›Paper›PMID 30561382›Full record

ArticlePhysics in medicine and biology2019

Model-based material decomposition with a penalized nonlinear least-squares CT reconstruction algorithm.

Steven Tilley, Wojciech Zbijewski, J Webster Stayman

Abstract read
In one paragraph

Article in Physics in medicine and biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Multi-Material Decomposition Using Spectral Diffusion Posterior Sampling.IEEE transactions on bio-medical engineering · 2025
    Article
  2. Spectral Orbits: Combining Spectral Imaging and Non-Circular Orbits for Interventional CBCT.Conference proceedings. International Conference on Image Formation in X-Ray Computed Tomography · 2024
    Article
  3. CT Material Decomposition using Spectral Diffusion Posterior Sampling.Conference proceedings. International Conference on Image Formation in X-Ray Computed Tomography · 2024
    Article
  4. Joint Material Decomposition and Scatter Estimation for Spectral CT.Conference proceedings. International Conference on Image Formation in X-Ray Computed Tomography · 2024
    Article
  5. Quantitative Dual-Energy Imaging of Bone Marrow Edema Using Multisource Cone-Beam CT with Model-Based Decomposition.Proceedings of SPIE--the International Society for Optical Engineering · 2023
    Article
  6. Article
  7. Tunable Neural Networks for Multi-Material Image Formation from Spectral CT Measurements.Proceedings of SPIE--the International Society for Optical Engineering · 2022
    Article
  8. Article
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  11. Multi-Contrast CT Imaging with a Prototype Spatial-Spectral Filter.Conference proceedings. International Conference on Image Formation in X-Ray Computed Tomography · 2020
    Article
  12. High-Resolution Model-based Material Decomposition for Multi-Layer Flat-Panel Detectors.Conference proceedings. International Conference on Image Formation in X-Ray Computed Tomography · 2020
    Article
  13. Perturbation Response of Model-based Material Decomposition with Edge-Preserving Penalties.Conference proceedings. International Conference on Image Formation in X-Ray Computed Tomography · 2020
    Article
  14. Prospective Prediction and Control of Image Properties in Model-based Material Decomposition for Spectral CT.Proceedings of SPIE--the International Society for Optical Engineering · 2020
    Article
  15. Model-based Material Decomposition with System Blur Modeling.Proceedings of SPIE--the International Society for Optical Engineering · 2020
    Article
  16. Local response prediction in model-based CT material decomposition.Proceedings of SPIE--the International Society for Optical Engineering · 2019
    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.

Steven TilleyDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, United States of America.ORCID 0000-0003-4853-5082
Wojciech ZbijewskiDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, United States of America.
J Webster StaymanDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, United States of America.ORCID 0000-0003-4358-378X

Funding

Quantitative high resolution cone beam CT for assessment of bone and joint healthR01EB018896 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI ZBIJEWSKI, WOJCIECH BARTOSZ · 2014 to 2017
$2.0M
Monitoring of fractures with internal fixators using weight-bearing quantitative cone beam CTR01EB025470 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI STAYMAN, JOSEPH WEBSTER, ZBIJEWSKI, WOJCIECH BARTOSZ · 2018 to 2021
$1.5M
Spectral-spatial filtering for efficient multi-material decomposition in x-ray CTR21EB026849 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI STAYMAN, JOSEPH WEBSTER · 2018 to 2019
$450k
Model-Based Reconstruction for High-Spatial Resolution Cone-Beam Computed TomographyF31EB023783 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI TILLEY, STEVEN WAYNE · 2017 to 2018
$85k
NIBIB NIH HHS F31 EB023783NIBIB NIH HHS R01 EB018896NIBIB NIH HHS R01 EB025470NIBIB NIH HHS R21 EB026849
6 · The paper itself

Abstract

Spectral information in CT may be used for material decomposition to produce accurate reconstructions of material density and to separate materials with similar overall attenuation. Traditional methods separate the reconstruction and decomposition steps, often resulting in undesirable trade-offs (e.g. sampling constraints, a simplified spectral model). In this work, we present a model-based material decomposition algorithm which performs the reconstruction and decomposition simultaneously using a multienergy forward model. In a kV-switching simulation study, the presented method is capable of reconstructing iodine at 0.5 mg ml

Indexed as

AlgorithmsNonlinear DynamicsTomography, X-Ray ComputedImage Processing, Computer-AssistedLeast-Squares AnalysisPhantoms, Imaging

Identifiers

PMID30561382
PMCPMC6385868

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.