Evidence map›Paper›PMID 31065569›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2019

Task-driven source-detector trajectories in cone-beam computed tomography: I. Theory and methods.

J Webster Stayman, Sarah Capostagno, Grace J Gang, Jeffrey H Siewerdsen

Abstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
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  7. Practical workflow for arbitrary non-circular orbits for CT with clinical robotic C-arms.Proceedings of SPIE--the International Society for Optical Engineering · 2022
    Article
  8. Universal orbit design for metal artifact elimination.Physics in medicine and biology · 2022
    Article
  9. Flat-panel conebeam CT in the clinic: history and current state.Journal of medical imaging (Bellingham, Wash.) · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Metal-Tolerant Noncircular Orbit Design and Implementation on Robotic C-Arm Systems.Conference proceedings. International Conference on Image Formation in X-Ray Computed Tomography · 2020
    Article
  15. Non-circular CT orbit design for elimination of metal artifacts.Proceedings of SPIE--the International Society for Optical Engineering · 2020
    Article
  16. Article
  17. Article
  18. Article
  19. Non-circular CBCT orbit design and realization on a clinical robotic C-arm for metal artifact reduction.Proceedings of SPIE--the International Society for Optical Engineering
    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.

J Webster StaymanJohns Hopkins University, Department of Biomedical Engineering, Baltimore, Maryland, United States.ORCID https://orcid.org/0000-0003-4358-378X
Sarah CapostagnoJohns Hopkins University, Department of Biomedical Engineering, Baltimore, Maryland, United States.
Grace J GangJohns Hopkins University, Department of Biomedical Engineering, Baltimore, Maryland, United States.ORCID https://orcid.org/0000-0002-3882-0210
Jeffrey H SiewerdsenJohns Hopkins University, Department of Biomedical Engineering, Baltimore, Maryland, United States.

Funding

Task-driven dynamic beam modulation for high-performance,low-dose CT.U01EB018758 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI STAYMAN, JOSEPH WEBSTER · 2014 to 2017
$2.6M
Intraoperative Imaging for Guidance, Patient Safety, and OR Quality AssuranceR01EB017226 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI SIEWERDSEN, JEFFREY H · 2014 to 2017
$2.1M
NIBIB NIH HHS R01 EB017226NIBIB NIH HHS U01 EB018758
6 · The paper itself

Abstract

We develop a mathematical framework for the design of orbital trajectories that are optimal to a particular imaging task (or tasks) in advanced cone-beam computed tomography systems that have the capability of general source-detector positioning. The framework allows various parameterizations of the orbit as well as constraints based on imaging system capabilities. To accommodate nonstandard system geometries, a model-based iterative reconstruction method is applied. Such algorithms generally complicate the assessment and prediction of reconstructed image properties; however, we leverage efficient implementations of analytical predictors of local noise and spatial resolution that incorporate dependencies of the reconstruction algorithm on patient anatomy, x-ray technique, and geometry. These image property predictors serve as inputs to a task-based performance metric defined by detectability index, which is optimized with respect to the orbital parameters of data acquisition. We investigate the framework of the task-driven trajectory design in several examples to examine the dependence of optimal source-detector trajectories on the imaging task (or tasks), including location and spatial-frequency dependence. A variety of multitask objectives are also investigated, and the advantages to imaging performance are quantified in simulation studies.

Indexed as

cone-beam computed tomographydetectability indeximage qualityimaging taskinterventional imagingmodel-based image reconstructionoptimizationrobotic C-armtask-driven imagingtask function

Identifiers

PMID31065569
PMCPMC6497008

What OpenQuestion holds

Textmetadata
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.