References
- Behrendt FF, Schmidt B, Plumhans C, et al (2009). Image fusion in dual energy computed tomography: effect on contrast enhancement, signal-to-noise ratio and image quality in computed tomography angiography. Invest Radiol, 44, 1-6. https://doi.org/10.1097/RLI.0b013e31818c3d4b
- Chen CY, Hsu JS, Wu DC, et al (2007). Gastric cancer: preoperative local staging with 3D multi-detector row CT--correlation with surgical and histopathologic results. Radiology, 242, 472-82. https://doi.org/10.1148/radiol.2422051557
- Chen L, Xue Y, Duan Q, et al (2013). Assessing the degree of differentiation of gastric cancer using CT imaging spectroscopy. Chinese Med Imaging Technol, 29, 225-9.
- Fang L, Li L (2013). Application progress of adaptive statistical iterative reconstruction in reducing radiation dose. CT Theory and Applications, 22, 207-13.
- Graser A, Johnson TR, Hecht EM, et al (2009). Dual-energy CT in patients suspected of having renal masses: can virtual nonenhanced images replace true nonenhanced images? Radiology, 252, 433-40. https://doi.org/10.1148/radiol.2522080557
- Jemal A, Bray F, Center MM, et al (2011). Global cancer statistics. CA Cancer J Clin, 61, 69-90. https://doi.org/10.3322/caac.20107
- Jiang J, Han D (2010). Clinical application and advancement of dual-energy CT virtual non-contrast scan. J Radiol, 46, 958-60.
- Johnson TR, Krauss B, Sedlmair M, et al (2007). Material differentiation by dual energy CT: initial experience. Eur Radiol, 17, 1510-7. https://doi.org/10.1007/s00330-006-0517-6
- Li C, Zhang S, Zhang H, et al (2012). Using the K-nearest neighbor algorithm for the classification of lymph node metastasis in gastric cancer. Comput Math Methods Med, 2012, 876545.
- Lin X, Shen Y, Chen K (2011). Basic principle of CT imaging spectroscopy and research progress in clinical application. Chinese J Radiol, 45, 798-800.
- Liu A, Shen Y (2012). In "CT spectroscopy spectrum for clinical application", Ed People's Military Medical Publishing House, Beijing pp 18-19.
- Liu Y, Chen K (2012). Diagnostic radiology status and progress of early gastric cancer. Modern Digestion Invasive Diagnosis, 17, 37-8.
- Lundin M, Liden M, Magnuson A, et al (2012). Virtual non-contrast dual-energy CT compared to single-energy CT of the urinary tract: a prospective study. Acta Radiol, 53, 689-94. https://doi.org/10.1258/ar.2012.110661
- Ma ZP, Zhou JJ, Liu XL, et al (2012). Diagnostic value of dual-energy CT dual-phase contrast-enhanced scan combined with virtual non-contrast scan for renal clear cell carcinoma. Chinese J Radiol, 46, 687-92.
- Makino T, Fujiwara Y, Takiguchi S, et al (2011). Preoperative T staging of gastric cancer by multi-detector row computed tomography. Surgery, 149, 672-9. https://doi.org/10.1016/j.surg.2010.12.003
- Mileto A, Mazziotti S, Gaeta M, et al (2012). Pancreatic dual-source dual-energy CT: is it time to discard unenhanced imaging? Clin Radiol, 67, 334-9. https://doi.org/10.1016/j.crad.2011.09.004
- Monig SP, Schroder W, Baldus SE, et al (2002). Preoperative lymph-node staging in gastrointestinal cancer-correlation between size and tumor stage. Onkologie, 25, 342-4. https://doi.org/10.1159/000066051
- Pan Z, Pang L, Ding B, et al (2013). Gastric cancer staging with dual energy spectral CT imaging. PLoS One, 8, 53651. https://doi.org/10.1371/journal.pone.0053651
- Silva AC, Morse BG, Hara AK, et al (2011). Dual-energy (spectral) CT: applications in abdominal imaging. Radiographics, 31, 1031-46; discussion 1047-50. https://doi.org/10.1148/rg.314105159
- Song KD, Kim CK, Park BK, et al (2011). Utility of iodine overlay technique and virtual unenhanced images for the characterization of renal masses by dual-energy CT. Am J Roentgenol, 197, 1076-82. https://doi.org/10.2214/AJR.11.6922
- Tijssen MP, Hofman PA, Stadler AA, et al (2014). The role of dual energy CT in differentiating between brain haemorrhage and contrast medium after mechanical revascularisation in acute ischaemic stroke. Eur Radiol, 24, 834-40. https://doi.org/10.1007/s00330-013-3073-x
- Toepker M, Moritz T, Krauss B, et al (2012). Virtual non-contrast in second-generation, dual-energy computed tomography: reliability of attenuation values. Eur J Radiol, 81, 398-405. https://doi.org/10.1016/j.ejrad.2011.12.011
- Yamada Y, Jinzaki M, Tanami Y, et al (2014). Virtual monochromatic spectral imaging for the evaluation of hypovascular hepatic metastases: the optimal monochromatic level with fast kilovoltage switching dual-energy computed tomography. Invest Radiol, 47, 292-8.
- Ye XH, Zhou C, Wu GG, et al (2011). Effects of CT spectroscopy monoergic imaging for the detection of different liver tumors: A preliminary study. Chinese J Radiol, 45, 718-22.
- Yoo SY, Kim Y, Cho HH, et al (2013). Dual-energy CT in the assessment of mediastinal lymph nodes: comparative study of virtual non-contrast and true non-contrast images. Korean J Radiol, 14, 532-9. https://doi.org/10.3348/kjr.2013.14.3.532
- Yu L, Primak AN, Liu X, et al (2009). Image quality optimization and evaluation of linearly mixed images in dual-source, dual-energy CT. Med Phys, 36, 1019-24. https://doi.org/10.1118/1.3077921
- Yu Y, Lin X, Chen K, et al (2013). Hepatocellular carcinoma and focal nodular hyperplasia of the liver: differentiation with CT spectral imaging. Eur Radiol, 23, 1660-8. https://doi.org/10.1007/s00330-012-2747-0
- Zhang Y, Ma G, Wang W et al (2010). Strategies to reduce radiation dose of spiral CT. Intern J Radiat Med, 33, 139-43.
Cited by
- Automatic Electronic Cleansing in Computed Tomography Colonography Images using Domain Knowledge vol.16, pp.18, 2015, https://doi.org/10.7314/APJCP.2015.16.18.8351