Generic placeholder image

Current Medical Imaging

Editor-in-Chief

ISSN (Print): 1573-4056
ISSN (Online): 1875-6603

Mini-Review Article

The Application of Dual-layer Spectral Detector CT in Abdominal Vascular Imaging

Author(s): Lu-Yao Lai, Ying Jiang and Jian Shu*

Volume 19, Issue 14, 2023

Published on: 09 March, 2023

Article ID: e160223213724 Pages: 7

DOI: 10.2174/1573405619666230216122650

Price: $65

Abstract

As a convenient and non-invasive diagnostic method, computed tomography (CT) has been developing continuously, and dual-energy CT imaging is one of its current research hotspots. Dualenergy CT, using two different X-ray energies for imaging, can generate spectral image sets such as virtual monoenergetic images, virtual non-contrast images, iodine density images, uric acid images, calcium inhibition images, and effective atomic number images. These images could help to increase the contrast of vascular, improve the detection rate of lesions, reduce artifacts, reduce the dose of radiation, and characterize materials. Dual-layer spectral detector CT, a detector-based dual-energy scanning device, has an X-ray tube and a dual-layer X-ray detector that can simultaneously separate lowenergy and high-energy photons from a multi-energy X-ray beam, which means excellent time registration. This paper aims to introduce the applications of dual-layer spectral detector CT in abdominal angiography, including optimizing image quality, reducing the dose of contrast agent and radiation, providing richer diagnostic information, organ perfusion, and thrombus identification.

Graphical Abstract

[1]
Garnett R. A comprehensive review of dual-energy and multi-spectral computed tomography. Clin Imaging 2020; 67: 160-9.
[http://dx.doi.org/10.1016/j.clinimag.2020.07.030] [PMID: 32795784]
[2]
Silva AC, Morse BG, Hara AK, Paden RG, Hongo N, Pavlicek W. Dual-energy (spectral) CT: applications in abdominal imaging. Radiographics 2011; 31(4): 1031-46.
[http://dx.doi.org/10.1148/rg.314105159] [PMID: 21768237]
[3]
Ommen F, Bennink E, Vlassenbroek A, et al. Image quality of conventional images of dual‐layer SPECTRAL CT: A phantom study. Med Phys 2018; 45(7): 3031-42.
[http://dx.doi.org/10.1002/mp.12959] [PMID: 29749624]
[4]
McCollough CH, Leng S, Yu L, Fletcher JG. Dual- and multi-energy CT: Principles, technical approaches, and clinical applications. Radiology 2015; 276(3): 637-53.
[http://dx.doi.org/10.1148/radiol.2015142631] [PMID: 26302388]
[5]
So A, Nicolaou S. Spectral Computed Tomography: Fundamental principles and recent developments. Korean J Radiol 2021; 22(1): 86-96.
[http://dx.doi.org/10.3348/kjr.2020.0144] [PMID: 32932564]
[6]
Ozguner O, Dhanantwari A, Halliburton S, Wen G, Utrup S, Jordan D. Objective image characterization of a spectral CT scanner with dual-layer detector. Phys Med Biol 2018; 63(2): 025027.
[http://dx.doi.org/10.1088/1361-6560/aa9e1b] [PMID: 29185436]
[7]
Forghani R, De Man B, Gupta R. Dual-energy computed tomography. Neuroimaging Clin N Am 2017; 27(3): 371-84.
[http://dx.doi.org/10.1016/j.nic.2017.03.002] [PMID: 28711199]
[8]
Hojjati M, Van Hedent S, Rassouli N, et al. Quality of routine diagnostic abdominal images generated from a novel detector-based spectral CT scanner: a technical report on a phantom and clinical study. Abdom Radiol (NY) 2017; 42(11): 2752-9.
[http://dx.doi.org/10.1007/s00261-017-1170-z] [PMID: 28493070]
[9]
Holmes DR III, Fletcher JG, Apel A, et al. Evaluation of non-linear blending in dual-energy computed tomography. Eur J Radiol 2008; 68(3): 409-13.
[http://dx.doi.org/10.1016/j.ejrad.2008.09.017] [PMID: 18990521]
[10]
Siegel MJ, Ramirez-Giraldo JC. Dual-energy CT in children: Imaging algorithms and clinical applications. Radiology 2019; 291(2): 286-97.
[http://dx.doi.org/10.1148/radiol.2019182289] [PMID: 30912717]
[11]
Faby S, Kuchenbecker S, Sawall S, et al. Performance of today’s dual energy CT and future multi energy CT in virtual non-contrast imaging and in iodine quantification: A simulation study. Med Phys 2015; 42(7): 4349-66.
[http://dx.doi.org/10.1118/1.4922654] [PMID: 26133632]
[12]
Yin XP, Zuo ZW, Xu YJ, et al. The optimal monochromatic spectral computed tomographic imaging plus adaptive statistical iterative reconstruction algorithm can improve the superior mesenteric vessel image quality. Eur J Radiol 2017; 89: 47-53.
[http://dx.doi.org/10.1016/j.ejrad.2017.01.022] [PMID: 28267548]
[13]
Kalisz K, Rassouli N, Dhanantwari A, Jordan D, Rajiah P. Noise characteristics of virtual monoenergetic images from a novel detector-based spectral CT scanner. Eur J Radiol 2018; 98: 118-25.
[http://dx.doi.org/10.1016/j.ejrad.2017.11.005] [PMID: 29279149]
[14]
Martin SS, Albrecht MH, Wichmann JL, et al. Value of a noise-optimized virtual monoenergetic reconstruction technique in dual-energy CT for planning of transcatheter aortic valve replacement. Eur Radiol 2017; 27(2): 705-14.
[http://dx.doi.org/10.1007/s00330-016-4422-3] [PMID: 27236818]
[15]
Hickethier T, Iuga AI, Lennartz S, et al. Virtual monoenergetic images from a novel dual-layer spectral detector computed tomography scanner in portal venous phase. J Comput Assist Tomogr 2018; 42(3): 350-6.
[http://dx.doi.org/10.1097/RCT.0000000000000711] [PMID: 29369944]
[16]
Bae K, Jeon KN, Cho SB, et al. Improved opacifcation of a suboptimally enhanced pulmonary artery in chest CT: Experience using a dual-layer detector spectral CT. AJR Am J Roentgenol 2018; 210(4): 734-41.
[http://dx.doi.org/10.2214/AJR.17.18537] [PMID: 29446668]
[17]
Yu L, Leng S, McCollough CH. Dual-energy CT-based monochromatic imaging. AJR Am J Roentgenol 2012; 199 (Suppl. 5): S9-S15.
[http://dx.doi.org/10.2214/AJR.12.9121] [PMID: 23097173]
[18]
Matsumoto K, Jinzaki M, Tanami Y, Ueno A, Yamada M, Kuribayashi S. Virtual monochromatic spectral imaging with fast kilovoltage switching: improved image quality as compared with that obtained with conventional 120-kVp CT. Radiology 2011; 259(1): 257-62.
[http://dx.doi.org/10.1148/radiol.11100978] [PMID: 21330561]
[19]
Lell MM, Wildberger JE, Alkadhi H, Damilakis J, Kachelriess M. Evolution in computed tomography: The battle for speed and dose. Invest Radiol 2015; 50(9): 629-44.
[http://dx.doi.org/10.1097/RLI.0000000000000172] [PMID: 26135019]
[20]
Große Hokamp N, Gilkeson R, Jordan MK, et al. Virtual monoenergetic images from spectral detector CT as a surrogate for conventional CT images: Unaltered attenuation characteristics with reduced image noise. Eur J Radiol 2019; 117: 49-55.
[http://dx.doi.org/10.1016/j.ejrad.2019.05.019] [PMID: 31307652]
[21]
Rajiah P, Abbara S, Halliburton SS. Spectral detector CT for cardiovascular applications. Diagn Interv Radiol 2017; 23(3): 187-93.
[http://dx.doi.org/10.5152/dir.2016.16255] [PMID: 28302592]
[22]
Chalian H, Kalisz K, Rassouli N, Dhanantwari A, Rajiah P. Utility of virtual monoenergetic images derived from a dual-layer detector-based spectral CT in the assessment of aortic anatomy and pathology: A retrospective case control study. Clin Imaging 2018; 52: 292-301.
[http://dx.doi.org/10.1016/j.clinimag.2018.08.007] [PMID: 30212800]
[23]
Zou Y, Wang S, Li T, et al. Effect of monochromatic energy image synthesized from dual-layer detector spectral CT on imaging of inferior vena cava. Zhongguo Yi Xue Ke Xue Yuan Xue Bao 2020; 42(3): 359-63.
[http://dx.doi.org/10.3881/j.issn.1000-503X.11405] [PMID: 32616132]
[24]
Wang Y, Qiu Y, He J, et al. Could temporal window for the computed tomography hepatic venography (CTHV) be extended? A comparative study between spectral and conventional CT using porcine models. J Comput Assist Tomogr 2012; 36(6): 690-4.
[http://dx.doi.org/10.1097/RCT.0b013e31826217f0] [PMID: 23192206]
[25]
Foley WD, Mallisee TA, Hohenwalter MD, Wilson CR, Quiroz FA, Taylor AJ. Multiphase hepatic CT with a multirow detector CT scanner. AJR Am J Roentgenol 2000; 175(3): 679-85.
[http://dx.doi.org/10.2214/ajr.175.3.1750679] [PMID: 10954450]
[26]
Lin XZ, Miao F, Li JY, et al. High-definition CT Gemstone spectral imaging of the brain: initial results of selecting optimal monochromatic image for beam-hardening artifacts and image noise reduction. J Comput Assist Tomogr 2011; 35(2): 294-7.
[http://dx.doi.org/10.1097/RCT.0b013e3182058d5c] [PMID: 21412106]
[27]
Doerner J, Luetkens JA, Iuga AI, et al. Poly-energetic and virtual mono-energetic images from a novel dual-layer spectral detector CT: optimization of window settings is crucial to improve subjective image quality in abdominal CT angiographies. Abdom Radiol (NY) 2018; 43(3): 742-50.
[http://dx.doi.org/10.1007/s00261-017-1241-1] [PMID: 28677003]
[28]
Pinho DF, Kulkarni NM, Krishnaraj A, Kalva SP, Sahani DV. Initial experience with single-source dual-energy CT abdominal angiography and comparison with single-energy CT angiography: image quality, enhancement, diagnosis and radiation dose. Eur Radiol 2013; 23(2): 351-9.
[http://dx.doi.org/10.1007/s00330-012-2624-x] [PMID: 22918562]
[29]
Demirler Simsir B, Danse E, Coche E. Benefit of dual-layer spectral CT in emergency imaging of different organ systems. Clin Radiol 2020; 75(12): 886-902.
[http://dx.doi.org/10.1016/j.crad.2020.06.012] [PMID: 32690242]
[30]
Park J, Kim SH, Han JK. Combined application of virtual monoenergetic high keV images and the orthopedic metal artifact reduction algorithm (O-MAR): Effect on image quality. Abdom Radiol 2019; 44(2): 756-65.
[http://dx.doi.org/10.1007/s00261-018-1748-0] [PMID: 30135970]
[31]
Pessis E, Campagna R, Sverzut JM, et al. Virtual monochromatic spectral imaging with fast kilovoltage switching: reduction of metal artifacts at CT. Radiographics 2013; 33(2): 573-83.
[http://dx.doi.org/10.1148/rg.332125124] [PMID: 23479714]
[32]
Davenport MS, Cohan RH, Ellis JH. Contrast media controversies in 2015: Imaging patients with renal impairment or risk of contrast reaction. AJR Am J Roentgenol 2015; 204(6): 1174-81.
[http://dx.doi.org/10.2214/AJR.14.14259] [PMID: 25730301]
[33]
Zhou K, He J, Qu F, et al. Comparison of 270 Versus 320 mg I/mL of Iodixanol in 1 image assessment of both renal arteries and veins with dual-energy spectral ct imaging in late arterial phase and their influence on renal function. J Comput Assist Tomogr 2017; 41(5): 798-803.
[http://dx.doi.org/10.1097/RCT.0000000000000595] [PMID: 28240640]
[34]
Lennartz S, Große Hokamp N, Zäske C, et al. Virtual monoenergetic images preserve diagnostic assessability in contrast media reduced abdominal spectral detector CT. Br J Radiol 2020; 93(1113): 20200340.
[http://dx.doi.org/10.1259/bjr.20200340] [PMID: 32644824]
[35]
Patel AA, Sutphin PD, Xi Y, Abbara S, Kalva SP. Arterial Phase CTA replacement by a virtual arterial phase reconstruction from a venous phase CTA: Preliminary results using detector-based spectral CT. Cardiovasc Intervent Radiol 2019; 42(2): 250-9.
[http://dx.doi.org/10.1007/s00270-018-2096-8] [PMID: 30357464]
[36]
Flors L, Leiva-Salinas C, Norton PT, Patrie JT, Hagspiel KD. Endoleak detection after endovascular repair of thoracic aortic aneurysm using dual-source dual-energy CT: suitable scanning protocols and potential radiation dose reduction. AJR Am J Roentgenol 2013; 200(2): 451-60.
[http://dx.doi.org/10.2214/AJR.11.8033] [PMID: 23345371]
[37]
Flors L, Leiva-Salinas C, Norton PT, Patrie JT, Hagspiel KD. Imaging follow-up of endovascular repair of type B aortic dissection with dual-source, dual-energy CT and late delayed-phase scans. J Vasc Interv Radiol 2014; 25(3): 435-42.
[http://dx.doi.org/10.1016/j.jvir.2013.11.026] [PMID: 24480084]
[38]
Maturen KE, Kaza RK, Liu PS, Quint LE, Khalatbari SH, Platt JF. “Sweet spot” for endoleak detection: optimizing contrast to noise using low keV reconstructions from fast-switch kVp dual-energy CT. J Comput Assist Tomogr 2012; 36(1): 83-7.
[http://dx.doi.org/10.1097/RCT.0b013e31824258cb] [PMID: 22261775]
[39]
Sauter AP, Muenzel D, Dangelmaier J, et al. Dual-layer spectral computed tomography: Virtual non-contrast in comparison to true non-contrast images. Eur J Radiol 2018; 104: 108-14.
[http://dx.doi.org/10.1016/j.ejrad.2018.05.007] [PMID: 29857855]
[40]
Chu MJJ, Dare AJ, Phillips ARJ, Bartlett ASJR. Donor hepatic steatosis and outcome after liver transplantation: A systematic review. J Gastrointest Surg 2015; 19(9): 1713-24.
[http://dx.doi.org/10.1007/s11605-015-2832-1] [PMID: 25917535]
[41]
Stolzmann P, Frauenfelder T, Pfammatter T, et al. Endoleaks after endovascular abdominal aortic aneurysm repair: detection with dual-energy dual-source CT. Radiology 2008; 249(2): 682-91.
[http://dx.doi.org/10.1148/radiol.2483080193] [PMID: 18780822]
[42]
Maturen KE, Kleaveland PA, Kaza RK, et al. Aortic endograft surveillance: use of fast-switch kVp dual-energy computed tomography with virtual noncontrast imaging. J Comput Assist Tomogr 2011; 35(6): 742-6.
[http://dx.doi.org/10.1097/RCT.0b013e3182372c14] [PMID: 22082546]
[43]
Javor D, Wressnegger A, Unterhumer S, et al. Endoleak detection using single-acquisition split-bolus dual-energy computer tomography (DECT). Eur Radiol 2017; 27(4): 1622-30.
[http://dx.doi.org/10.1007/s00330-016-4480-6] [PMID: 27436027]
[44]
Kahn J, Fehrenbach U, Böning G, et al. Spectral CT in patients with acute thoracoabdominal bleeding—a safe technique to improve diagnostic confidence and reduce dose? Medicine (Baltimore) 2019; 98(25): e16101.
[http://dx.doi.org/10.1097/MD.0000000000016101] [PMID: 31232952]
[45]
Laukamp KR, Ho V, Obmann VC, et al. Virtual non-contrast for evaluation of liver parenchyma and vessels: results from 25 patients using multi-phase spectral-detector CT. Acta Radiol 2020; 61(8): 1143-52.
[http://dx.doi.org/10.1177/0284185119893094] [PMID: 31856581]
[46]
Wang H, Xiao X, Zhang W, et al. Imaging of acute superior mesenteric artery embolus using spectral CT in a canine model. Br J Radiol 2015; 88(1053): 20150296.
[http://dx.doi.org/10.1259/bjr.20150296] [PMID: 26185922]
[47]
Lourenco PDM, Rawski R, Mohammed MF, Khosa F, Nicolaou S, McLaughlin P. Dual-energy CT iodine mapping and 40-keV monoenergetic applications in the diagnosis of acute bowel ischemia. AJR Am J Roentgenol 2018; 211(3): 564-70.
[http://dx.doi.org/10.2214/AJR.18.19554] [PMID: 29927328]
[48]
Qian LJ, Zhu J, Zhuang ZG, et al. Differentiation of neoplastic from bland macroscopic portal vein thrombi using dual-energy spectral CT imaging: a pilot study. Eur Radiol 2012; 22(10): 2178-85.
[http://dx.doi.org/10.1007/s00330-012-2477-3] [PMID: 22622347]

Rights & Permissions Print Cite
© 2024 Bentham Science Publishers | Privacy Policy