Initial Results of a Single-Source Dual-Energy Computed Tomography Technique Using a Split-Filter

Euler, André; Parakh, Anushri; Falkowski, Anna L.; Manneck, Sebastian; Dashti, David; Krauß, Bernhard; Szücs-Farkas, Zsolt; Schindera, Sebastian T.

doi:10.1097/rli.0000000000000257

Cited by 91 publications

(39 citation statements)

References 23 publications

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“…Our results complement that study, with even closer or comparable agreement between CT-measured and known iodine concentration for two new state-of-the-art CT systems, a third-generation DSCT system and a first-generation DLCT system. Another study analysed iodine quantification on single-source CT with a split filter, with measured differences ranging between 2 and 21% for iodine concentrations ranging from 1.2 to 23.5 mg/ml, with absolute differences ranging from 0.1 to 1.6 mg/ml [ 13 ]. When comparing these results to our study, one can state that increased spectral separation increases the accuracy of iodine quantification.…”

Section: Discussionmentioning

confidence: 99%

Accuracy of iodine quantification using dual energy CT in latest generation dual source and dual layer CT

et al. 2017

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ObjectiveTo determine the accuracy of iodine quantification with dual energy computed tomography (DECT) in two high-end CT systems with different spectral imaging techniques.MethodsFive tubes with different iodine concentrations (0, 5, 10, 15, 20 mg/ml) were analysed in an anthropomorphic thoracic phantom. Adding two phantom rings simulated increased patient size. For third-generation dual source CT (DSCT), tube voltage combinations of 150Sn and 70, 80, 90, 100 kVp were analysed. For dual layer CT (DLCT), 120 and 140 kVp were used. Scans were repeated three times. Median normalized values and interquartile ranges (IQRs) were calculated for all kVp settings and phantom sizes.ResultsCorrelation between measured and known iodine concentrations was excellent for both systems (R = 0.999–1.000, p < 0.0001). For DSCT, median measurement errors ranged from −0.5% (IQR −2.0, 2.0%) at 150Sn/70 kVp and −2.3% (IQR −4.0, −0.1%) at 150Sn/80 kVp to −4.0% (IQR −6.0, −2.8%) at 150Sn/90 kVp. For DLCT, median measurement errors ranged from −3.3% (IQR −4.9, −1.5%) at 140 kVp to −4.6% (IQR −6.0, −3.6%) at 120 kVp. Larger phantom sizes increased variability of iodine measurements (p < 0.05).ConclusionIodine concentration can be accurately quantified with state-of-the-art DECT systems from two vendors. The lowest absolute errors were found for DSCT using the 150Sn/70 kVp or 150Sn/80 kVp combinations, which was slightly more accurate than 140 kVp in DLCT.Key Points• High-end CT scanners allow accurate iodine quantification using different DECT techniques.• Lowest measurement error was found in scans with largest photon energy separation.• Dual-source CT quantified iodine slightly more accurately than dual layer CT.

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Section: Discussionmentioning

confidence: 99%

Accuracy of iodine quantification using dual energy CT in latest generation dual source and dual layer CT

et al. 2017

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“…Die nötigen unterschiedlichen Energiespektren können durch sequenzielle Scans mit hoher und niedriger Röhrenspannung generiert werden [11], durch 2 separate Röhren-Detektor-Systeme (Dual-Source-DECT) [12] oder mit einer in Millisekunden zwischen hoher und niedriger Spannung wechselnden Röntgenröhre (Fast-kVp-Switching-DECT) [11]. Weiterhin können durch Split-Filter aus 2 Materialien wie Zinn und Gold am Röhrenausgang hoch-und niedrigenergetische Spektren erzeugt werden [13,14]. Die Separation der Spektren auf Detektorebene durch übereinanderliegende Schichten unterschiedlichen Materials, die hoch-bzw.…”

Section: Technischer Hintergrundunclassified

Dual-Energy Computed Tomography for Fat Quantification in the Liver and Bone Marrow: A Literature Review

Molwitz

Leiderer

Özden

et al. 2020

Rofo

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Background With dual-energy computed tomography (DECT) it is possible to quantify certain elements and tissues by their specific attenuation, which is dependent on the X-ray spectrum. This systematic review provides an overview of the suitability of DECT for fat quantification in clinical diagnostics compared to established methods, such as histology, magnetic resonance imaging (MRI) and single-energy computed tomography (SECT). Method Following a systematic literature search, studies which validated DECT fat quantification by other modalities were included. The methodological heterogeneity of all included studies was processed. The study results are presented and discussed according to the target organ and specifically for each modality of comparison. Results Heterogeneity of the study methodology was high. The DECT data was generated by sequential CT scans, fast-kVp-switching DECT, or dual-source DECT. All included studies focused on the suitability of DECT for the diagnosis of hepatic steatosis and for the determination of the bone marrow fat percentage and the influence of bone marrow fat on the measurement of bone mineral density. Fat quantification in the liver and bone marrow by DECT showed valid results compared to histology, MRI chemical shift relaxometry, magnetic resonance spectroscopy, and SECT. For determination of hepatic steatosis in contrast-enhanced CT images, DECT was clearly superior to SECT. The measurement of bone marrow fat percentage via DECT enabled the bone mineral density quantification more reliably. Conclusion DECT is an overall valid method for fat quantification in the liver and bone marrow. In contrast to SECT, it is especially advantageous to diagnose hepatic steatosis in contrast-enhanced CT examinations. In the bone marrow DECT fat quantification allows more valid quantification of bone mineral density than conventional methods. Complementary studies concerning DECT fat quantification by split-filter DECT or dual-layer spectral CT and further studies on other organ systems should be conducted. Key points: Citation Format

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“…Another, relatively recent addition to clinical DECT systems is the TwinBeam DECT scanner (Siemens AG, Forchheim, Germany). 3,10,11 This system also consists of a single source and detector combination. Spectral separation is achieved at the level of the source by using a filter with different materials to split the beam into high-and low-energy beams.…”

Section: Other Dect Approaches and Systems Under Investigationmentioning

confidence: 99%

Advanced Computed Tomography Techniques: Overview of Dual-Energy CT

Forghani

2017

J Pediatr Neurol

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Dual-energy computed tomography (DECT) is an advanced form of computed tomography (CT), in which image acquisition is performed at two different energy spectra, instead of a single-energy spectrum using conventional single-energy CT (SECT). This enables the creation of different reconstructions and quantitative spectral tissue analysis beyond what is possible with SECT. In adults, there are increasing clinical applications of DECT for all organ systems, including neuroimaging and head and neck imaging. However, there are relatively few studies evaluating applications of DECT for pediatric imaging and little to none in neuroimaging or head and neck imaging. The purpose of this article is to provide an overview and familiarize the readers with DECT. This article will review the fundamental principles behind DECT, including different DECT acquisition systems and principles of DECT material characterization. This will be followed by a review of potential applications of DECT, many based on imaging the head and neck. The objectives are to familiarize the readers with this exciting technology and hopefully serve as a primer for investigations and applications of DECT for pediatric neuro and head and neck imaging.

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Initial Results of a Single-Source Dual-Energy Computed Tomography Technique Using a Split-Filter

Abstract: Split-filter dual-energy compared with single-energy CT results in similar objective image noise in addition to dual-energy capabilities at 17% lower radiation dose. Because of beam hardening, split-filter dual-energy can lead to decreased CNR values of iodinated structures.

Cited by 91 publications

References 23 publications

Accuracy of iodine quantification using dual energy CT in latest generation dual source and dual layer CT

Accuracy of iodine quantification using dual energy CT in latest generation dual source and dual layer CT

Dual-Energy Computed Tomography for Fat Quantification in the Liver and Bone Marrow: A Literature Review

Advanced Computed Tomography Techniques: Overview of Dual-Energy CT

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