Evidence map›Paper›PMID 24504126›Full record

ArticlePhysics in medicine and biology2014

Soft-tissue imaging with C-arm cone-beam CT using statistical reconstruction.

Adam S Wang, J Webster Stayman, Yoshito Otake, Gerhard Kleinszig, Sebastian Vogt, Gary L Gallia, A Jay Khanna, Jeffrey H Siewerdsen

Open access · greenAbstract read
In one paragraph

Article in Physics in medicine and biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
10.2field-weighted citation impact, top 1% 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

40 citing papers in PubMed, 61 citations in OpenAlex.

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  11. Generalized Prediction Framework for Reconstructed Image Properties using Neural Networks.Proceedings of SPIE--the International Society for Optical Engineering · 2019
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  18. Integration of free-hand 3D ultrasound and mobile C-arm cone-beam CT: Feasibility and characterization for real-time guidance of needle insertion.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2017
    Article
  19. An Investigation of Low-Dose 3D Scout Scans for Computed Tomography.Proceedings of SPIE--the International Society for Optical Engineering · 2017
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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

8 authors at 2 institutions in 2 countries.

Adam S WangDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA.
J Webster Stayman
Yoshito Otake
Gerhard Kleinszig
Sebastian Vogt
Gary L Gallia
A Jay Khanna
Jeffrey H Siewerdsen
Johns Hopkins University · USSiemens (Germany) · DE

Funding

C-Arm CBCT with Model-Based Image Reconstruction for Neurosurgical InterventionsF32EB017571 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI WANG, ADAM S · 2013 to 2013
$41k
NIBIB NIH HHS F32 EB017571
6 · The paper itself

Abstract

The potential for statistical image reconstruction methods such as penalized-likelihood (PL) to improve C-arm cone-beam CT (CBCT) soft-tissue visualization for intraoperative imaging over conventional filtered backprojection (FBP) is assessed in this work by making a fair comparison in relation to soft-tissue performance. A prototype mobile C-arm was used to scan anthropomorphic head and abdomen phantoms as well as a cadaveric torso at doses substantially lower than typical values in diagnostic CT, and the effects of dose reduction via tube current reduction and sparse sampling were also compared. Matched spatial resolution between PL and FBP was determined by the edge spread function of low-contrast (∼ 40-80 HU) spheres in the phantoms, which were representative of soft-tissue imaging tasks. PL using the non-quadratic Huber penalty was found to substantially reduce noise relative to FBP, especially at lower spatial resolution where PL provides a contrast-to-noise ratio increase up to 1.4-2.2 × over FBP at 50% dose reduction across all objects. Comparison of sampling strategies indicates that soft-tissue imaging benefits from fully sampled acquisitions at dose above ∼ 1.7 mGy and benefits from 50% sparsity at dose below ∼ 1.0 mGy. Therefore, an appropriate sampling strategy along with the improved low-contrast visualization offered by statistical reconstruction demonstrates the potential for extending intraoperative C-arm CBCT to applications in soft-tissue interventions in neurosurgery as well as thoracic and abdominal surgeries by overcoming conventional tradeoffs in noise, spatial resolution, and dose.

Indexed as

Cone-Beam Computed TomographyHeadHumansImage Processing, Computer-AssistedPhantoms, ImagingRadiography, AbdominalSignal-To-Noise RatioTorso

Identifiers

PMID24504126
PMCPMC4046706
OpenAlexW2041245290

What OpenQuestion holds

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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.