Dependence of Contrast-Enhanced Lesion Detection in Contrast-Enhanced Digital Breast Tomosynthesis on Imaging Chain Design

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• 关键词：Contrast ; enhanced digital mammography ; Contrast ; enhanced digital breast tomosynthesis ; Digital breast tomosynthesis ; X ; ray imaging ; SDNR
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9699
• 期：1
• 页码：136-144
• 全文大小：1,391 KB
• 参考文献：1.Chou, C.-P., Lewin, J.M., Chiang, C.-L., Hung, B.-H., Yang, T.-L., Huang, J.-S., Liao, J.-B., Pan, H.-B.: Clinical evaluation of contrast-enhanced digital mammography and contrast enhanced tomosynthesis – comparison to contrast-enhanced breast MRI. Eur. J. Radiol. 84(12), 2501–2508 (2015)CrossRef
  2.Dromain, C., Thibault, F., Muller, S., Rimareix, F., Delaloge, S., Tardivon, A., Balleyguier, C.: Dual-energy contrast-enhanced digital mammography: initial clinical results. Eur. Radiol. 21, 565–574 (2011)CrossRef
  3.Jochelson, M.S., Dershaw, D.D., Sung, J.S., Heerdt, A.S., Thornton, C., Moskowitz, C.S., Ferrara, J., Morris, E.A.: Bilateral contrast-enhanced dual-energy digital mammography: feasibility and comparison with conventional digital mammography and MR imaging in women with known breast carcinoma. Radiology 266, 743–751 (2013)CrossRef
  4.Lobbes, M.B.I., Lalji, U., Houwers, J., Nijssen, E.C., Nelemans, P.J., Van Roozendaal, L., Smidt, M.L., Heuts, E., Wildberger, J.E.: Contrast-enhanced spectral mammography in patients referred from the breast cancer screening programme. Eur. Radiol. 24, 1668–1676 (2014)
  5.Luczyńska, E., Heinze-Paluchowska, S., Dyczek, S., Blecharz, P., Rys, J., Reinfuss, M.: Contrast-enhanced spectral mammography: comparison with conventional mammography and histopathology in 152 women. Korean J. Radiol. 15, 689–696 (2014)CrossRef
  6.Baltzer, P.A.T., Benndorf, M., Dietzel, M., Gajda, M., Runnebaum, I.B., Kaiser, W.A.: False-positive findings at contrast-enhanced breast MRI: a BI-RADS descriptor study. Am. J. Roentgenol. 194, 1658–1663 (2010)CrossRef
  7.Förnvik, D., Zackrisson, S., Ljungberg, O., Svahn, T., Timberg, P., Tingberg, A., Andersson, I.: Breast tomosynthesis: accuracy of tumor measurement compared with digital mammography and ultrasonography. Acta Radiol. 51, 240–247 (2010)CrossRef
  8.Petralia, G., Bonello, L., Priolo, F., Summers, P., Bellomi, M.: Breast MR with special focus on DW-MRI and DCE-MRI. Cancer Imaging 11, 76–90 (2011)CrossRef
  9.Froeling, V., Diekmann, F., Renz, D.M., Fallenberg, E.M., Steffen, I.G., Diekmann, S., Lawaczeck, R., Schmitzberger, F.F.: Correlation of contrast agent kinetics between iodinated contrast-enhanced spectral tomosynthesis and gadolinium-enhanced MRI of breast lesions. Eur. Radiol. 23, 1528–1536 (2013)CrossRef
  10.Hu, Y.-H., Scaduto, D.A., Zhao, W.: Optimization of clinical protocols for contrast enhanced breast imaging. In: Nishikawa, R.M. Whiting, B.R. (eds.) SPIE Medical Imaging, p. 86680G. International Society for Optics and Photonics, Orlando, FL (2013)
  11.Lu, Y., Peng, B., Scaduto, D.A., Zhao, W., Gindi, G.: Application of the ordered-subsets transmission reconstruction algorithm to contrast-enhanced dual-energy digital breast tomosynthesis. In: Proceedings of IEEE Nuclear Science Symposium and Medical Imaging Conference, IEEE NSS/MIC, Seattle, WA (2014)
  12.Lu, Y., Peng, B., Lau, B.A., Hu, Y., Scaduto, D.A., Zhao, W., Gindi, G.: A scatter correction method for contrast-enhanced dual-energy digital breast tomosynthesis. Phys. Med. Biol. 60, 6323–6354 (2015)CrossRef
  13.Hu, Y.-H., Zhao, W.: Experimental quantification of lesion detectability in contrast enhanced dual energy digital breast tomosynthesis, vol. 8313, pp. 83130A1–83130A10 (2012)
  
• 作者单位：David A. Scaduto (16)
  Yue-Houng Hu (17)
  Yihuan Lu (18)
  Hailiang Huang (16)
  Jingxuan Liu (19)
  Kim Rinaldi (16)
  Gene Gindi (16)
  Paul R. Fisher (16)
  Wei Zhao (16)
  
  16. Department of Radiology, Stony Brook Medicine, Stony Brook, NY, 11794, USA
  17. Division of Medical Physics and Biophysics, Department of Radiation Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, 02115, USA
  18. Departments of Radiology and Biomedical Engineering, Yale University, New Haven, CT, 06520, USA
  19. Department of Pathology, Stony Brook Medicine, Stony Brook, NY, 11794, USA
  
• 丛书名：Breast Imaging
• ISBN：978-3-319-41546-8
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349
• 卷排序：9699

文摘

Contrast-enhanced digital breast tomosynthesis (CEDBT) may improve contrast-enhanced lesion conspicuity and relative contrast quantification by improving three-dimensional visualization of lesion morphology, and reducing the integration of attenuation information along the axial direction. Improved visualization of patterns of contrast-enhancement and improved iodine quantification may help differentiate between malignant and benign enhancing lesions. The dependence of dual-energy contrast-enhanced lesion detectability on imaging chain design is investigated. Lesion detectability and relative iodine quantification is comparable for subtraction in either reconstruction or projection domains for both phantom and patient images. SART generally produces greater SDNR than FBP, and scatter correcting projections further improves SDNR.