Evidence map›Paper›PMID 38803525›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2024

Hybrid spectral CT system with clinical rapid kVp-switching x-ray tube and dual-layer detector for improved iodine quantification.

Olivia F Sandvold, Roland Proksa, Heiner Daerr, Amy E Perkins, Kevin M Brown, Nadav Shapira, Thomas Koehler, J Webster Stayman, Grace J Gang, Ravindra M Manjeshwar and 1 more

Abstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Olivia F SandvoldDepartment of Radiology, Perelman School of Medicine, Philadelphia, USA 19104.
Roland ProksaDepartment of Radiology, Perelman School of Medicine, Philadelphia, USA 19104.
Heiner DaerrPhilips Innovative Technologies, Hamburg, Germany 22335.
Amy E PerkinsPhilips Healthcare, Cleveland, USA 44122.
Kevin M BrownPhilips Healthcare, Cleveland, USA 44122.
Nadav ShapiraDepartment of Radiology, Perelman School of Medicine, Philadelphia, USA 19104.
Thomas KoehlerPhilips Innovative Technologies, Hamburg, Germany 22335.
J Webster StaymanJohns Hopkins University, Baltimore, USA 21218.
Grace J GangDepartment of Radiology, Perelman School of Medicine, Philadelphia, USA 19104.
Ravindra M ManjeshwarPhilips Healthcare, Cleveland, USA 44122.
Peter B NoëlDepartment of Radiology, Perelman School of Medicine, Philadelphia, USA 19104.

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

Spectral computed tomography (CT) is a powerful diagnostic tool offering quantitative material decomposition results that enhance clinical imaging by providing physiologic and functional insights. Iodine, a widely used contrast agent, improves visualization in various clinical contexts. However, accurately detecting low-concentration iodine presents challenges in spectral CT systems, particularly crucial for conditions like pancreatic cancer assessment. In this study, we present preliminary results from our hybrid spectral CT instrumentation which includes clinical-grade hardware (rapid kVp-switching x-ray tube, dual-layer detector). This combination expands spectral datasets from two to four channels, wherein we hypothesize improved quantification accuracy for low-dose and low-iodine concentration cases. We modulate the system duty cycle to evaluate its impact on quantification noise and bias. We evaluate iodine quantification performance by comparing two hybrid weighting strategies alongside rapid kVp-switching. This evaluation is performed with a polyamide phantom containing seven iodine inserts ranging from 0.5 to 20 mg/mL. In comparison to alternative methodologies, the maximum separation configuration, incorporating data from both the 80 kVp, low photon energy detector layer and the 140 kVp, high photon energy detector layer produces spectral images containing low quantitative noise and bias. This study presents initial evaluations on a hybrid spectral CT system, leveraging clinical hardware to demonstrate the potential for enhanced precision and sensitivity in spectral imaging. This research holds promise for advancing spectral CT imaging performance across diverse clinical scenarios.

Indexed as

CT instrumentationDual-energy CTimaging systemsiodine contrastquantitative imagingspectral CT

Identifiers

PMID38803525
PMCPMC11129556

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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.