Korean Journal of Radiology

The Korean Society of Radiology (대한영상의학회)
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Dual-Energy CT: New Horizon in Medical Imaging

  • Goo, Hyun Woo (Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine) ;
  • Goo, Jin Mo (Department of Radiology, Seoul National University College of Medicine)
  • Received : 2017.01.28
  • Accepted : 2017.02.23
  • Published : 2017.08.01
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Abstract

Dual-energy CT has remained underutilized over the past decade probably due to a cumbersome workflow issue and current technical limitations. Clinical radiologists should be made aware of the potential clinical benefits of dual-energy CT over single-energy CT. To accomplish this aim, the basic principle, current acquisition methods with advantages and disadvantages, and various material-specific imaging methods as clinical applications of dual-energy CT should be addressed in detail. Current dual-energy CT acquisition methods include dual tubes with or without beam filtration, rapid voltage switching, dual-layer detector, split filter technique, and sequential scanning. Dual-energy material-specific imaging methods include virtual monoenergetic or monochromatic imaging, effective atomic number map, virtual non-contrast or unenhanced imaging, virtual non-calcium imaging, iodine map, inhaled xenon map, uric acid imaging, automatic bone removal, and lung vessels analysis. In this review, we focus on dual-energy CT imaging including related issues of radiation exposure to patients, scanning and post-processing options, and potential clinical benefits mainly to improve the understanding of clinical radiologists and thus, expand the clinical use of dual-energy CT; in addition, we briefly describe the current technical limitations of dual-energy CT and the current developments of photon-counting detector.

Keywords

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  56. Generation of Brain Dual-Energy CT from Single-Energy CT Using Deep Learning vol.34, pp.1, 2017, https://doi.org/10.1007/s10278-020-00414-1
  57. Feasibility of Coronary Artery Calcium Scoring on Dual-Energy Chest Computed Tomography: A Prospective Comparison with Electrocardiogram-Gated Calcium Score Computed Tomography vol.10, pp.4, 2021, https://doi.org/10.3390/jcm10040653
  58. Comparison of noise-optimized linearly blended images and noise-optimized virtual monoenergetic images evaluated by dual-source, dual-energy CT in cardiac vein assessment vol.62, pp.5, 2017, https://doi.org/10.1177/0284185120933242
  59. Development of a dose-rate dosimeter for x-ray CT scanner using silicon x-ray diode vol.92, pp.5, 2017, https://doi.org/10.1063/5.0047546
  60. Harnessing X‐Ray Energy‐Dependent Attenuation of Bismuth‐Based Nanoprobes for Accurate Diagnosis of Liver Fibrosis vol.8, pp.11, 2017, https://doi.org/10.1002/advs.202002548
  61. 3D Compton scattering imaging with multiple scattering: analysis by FIO and contour reconstruction vol.37, pp.6, 2021, https://doi.org/10.1088/1361-6420/abf22b
  62. Modeling and Reconstruction Strategy for Compton Scattering Tomography with Scintillation Crystals vol.11, pp.6, 2021, https://doi.org/10.3390/cryst11060641
  63. Performance of four dual-energy CT platforms for abdominal imaging: a task-based image quality assessment based on phantom data vol.31, pp.7, 2021, https://doi.org/10.1007/s00330-020-07671-2
  64. Texture analysis based on U-Net neural network for intracranial hemorrhage identification predicts early enlargement vol.206, pp.None, 2017, https://doi.org/10.1016/j.cmpb.2021.106140
  65. In Vivo Imaging of Biodegradable Implants and Related Tissue Biomarkers vol.13, pp.14, 2021, https://doi.org/10.3390/polym13142348
  66. Reconstruction algorithm for 3D Compton scattering imaging with incomplete data vol.29, pp.7, 2017, https://doi.org/10.1080/17415977.2020.1815723
  67. Feasibility study of using virtual non-contrast images derived from dual-energy CT to replace true non-contrast images in patients diagnosed with papillary thyroid carcinoma vol.29, pp.4, 2017, https://doi.org/10.3233/xst-210884
  68. Evaluation of dual‐energy and perfusion CT parameters for diagnosing solitary pulmonary nodules vol.12, pp.20, 2017, https://doi.org/10.1111/1759-7714.14105
  69. High Channel Temperature Mapping Electronics in a Thin, Soft, Wireless Format for Non-Invasive Body Thermal Analysis vol.11, pp.11, 2021, https://doi.org/10.3390/bios11110435
  70. Dual-Energy Heart CT: Beyond Better Angiography-Review vol.10, pp.21, 2021, https://doi.org/10.3390/jcm10215193
  71. A novel parameter derived from post-processing procedure of dual energy CT for identification of gout vol.11, pp.1, 2017, https://doi.org/10.1038/s41598-021-01100-0
  72. Gene expression changes and DNA damage after ex vivo exposure of peripheral blood cells to various CT photon spectra vol.11, pp.1, 2017, https://doi.org/10.1038/s41598-021-91023-7
  73. Computer vision applied to dual-energy computed tomography images for precise calcinosis cutis quantification in patients with systemic sclerosis vol.23, pp.1, 2017, https://doi.org/10.1186/s13075-020-02392-9
  74. Dual-energy computed tomography: Survey results on current uses and barriers to further implementation vol.94, pp.1128, 2017, https://doi.org/10.1259/bjr.20210565
  75. Preoperative assessment of cervical lymph node metastases in patients with papillary thyroid carcinoma: Incremental diagnostic value of dual-energy CT combined with ultrasound vol.16, pp.12, 2021, https://doi.org/10.1371/journal.pone.0261233
  76. Detecting lymph node metastasis of esophageal cancer on dual-energy computed tomography vol.63, pp.1, 2022, https://doi.org/10.1177/0284185120980144