Noise-optimized advanced image-based virtual monoenergetic imaging for improved visualization of lung cancer: Comparison with traditional virtual monoenergetic imaging
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- 作者：Claudia Frellesen ; Moritz Kaup ; Julian L. Wichmann ; docwichmann@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Kristina Hü ; sers ; Jan-Erik Scholtz ; Moritz H. Albrecht ; Sarah C. Metzger ; Ralf W. Bauer ; J. Matthias Kerl ; Thomas Lehnert ; Thomas J. Vogl ; Boris Bodelle
- 关键词：Monoenergetic ; Dual-energy CT ; Dual-source CT ; Lung cancer ; Chest
- 刊名：European Journal of Radiology
- 出版年：2016
- 出版时间：March 2016
- 年：2016
- 卷：85
- 期：3
- 页码：665-672
- 全文大小：1612 K
文摘
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Image noise was significantly reduced at low keV-levels with the novel monoenergetic algorithm.
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Tumor contrast-to-noise ratio peaked in the 40/55 keV series reconstructed with the novel algorithm.
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Tumor signal-to-noise and contrast-to-noise ratios were higher with noise-optimized VMI+ compared to traditional VMI.
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Subjective image quality ratings were highest for the 55 keV series reconstructed with the novel algorithm.
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The novel algorithm for monoenergetic dual-energy CT may improve visualization of lung cancer.