Evidence map›Paper›PMID 40144006›Full record

ArticleConference proceedings. International Conference on Image Formation in X-Ray Computed Tomography2024

Hybrid Spectral CT: Combining rapid kVp-switching and dual-layer detectors for high sensitivity iodine imaging.

Olivia F Sandvold, Roland Proksa, Heiner Daerr, Kevin M Brown, Thomas Koehler, Amy E Perkins, Grace J Gang, J Webster Stayman, Ravindra M Manjeshwar, Peter B Noël

Abstract read
In one paragraph

Article in Conference proceedings. International Conference on Image Formation in X-Ray Computed Tomography, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Olivia F SandvoldDepartment of Radiology, Perelman School of Medicine, Philadelphia, PA, USA.
Roland ProksaDepartment of Radiology, Perelman School of Medicine, Philadelphia, PA, USA.
Heiner DaerrPhilips Innovative Technologies, Hamburg, Germany.
Kevin M BrownPhilips Healthcare, Cleveland, OH, USA.
Thomas KoehlerPhilips Innovative Technologies, Hamburg, Germany.
Amy E PerkinsPhilips Healthcare, Cleveland, OH, USA.
Grace J GangDepartment of Radiology, Perelman School of Medicine, Philadelphia, PA, USA.
J Webster StaymanDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA.
Ravindra M ManjeshwarPhilips Healthcare, Cleveland, OH, USA.
Peter B NoëlDepartment of Radiology, Perelman School of Medicine, Philadelphia, PA, USA.

Funding

Patient-specific, high-sensitivity spectral CT for assessment of pancreatic cancerR01EB030494 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI GANG, JIANAN GRACE, NOËL, PETER B · 2021 to 2024
$2.4M
NIBIB NIH HHS R01 EB030494
6 · The paper itself

Abstract

Over the past two decades, spectral computed tomography (CT) has undergone significant advancements, particularly in the realm of diagnostic accuracy, prompting a surge in clinical studies. This research examines the development of a new hybrid spectral CT system that combines a clinical-grade rapid kVp-switching X-ray tube with a dual-layer detector, aiming to boost quantitative spectral imaging performance in different clinical applications. The performance of the system was evaluated using varying tube voltages, duty cycles, and rotation times to enhance spectral outcomes. This experimental setup allowed for adjustments in parameters such as tube voltage pairs (140/80 and 120/70 kVp), duty cycles (ranging from 15/85 to 75/25), and tube currents (300 and 570 mA), which were tested on both large and small phantoms. The quantitative analysis was conducted using a two-input projection-based material decomposition approach. The study highlighted the impact of spectral weighting schemes on noise reduction and quantification bias in iodine density images. Results indicated that the maximum spectral separation scheme presented the least bias, suggesting its potential for improved clinical applications and outcomes. In conclusion, the research underscores the potential of integrating dual-energy technologies in hybrid spectral CT systems.

Indexed as

instrumentationMulti-energy CTquantitative imagingspectral CT

Identifiers

PMID40144006
PMCPMC11937910

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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.