Journal article
Dual-Energy Multidetector-Row Computed Tomography of the Hepatic Arterial System: Optimization of Energy and Material-Specific Reconstruction Techniques
Journal of computer assisted tomography, v 39(5), pp 721-729
01 Sep 2015
PMID: 25938210
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Purpose To investigate the optimal dual-energy reconstruction technique for the visualization of the hepatic arterial system during dual-energy multidetector computed tomographic (MDCT) angiography of the liver.
Materials and Methods Twenty-nine nonconsecutive patients underwent dual-energy MDCT angiography of the liver. Synthesized monochromatic (40, 50, 60, and 80 keV) and iodine density data sets were reconstructed. Aortic attenuation, noise, and contrast-to-noise ratio (CNR) were measured. In addition, volume-rendered images were generated and qualitatively assessed by 2 independent readers, blinded to technique. The impact of body size on the readers' scores was also assessed.
Results Aortic attenuation, noise, and CNR increased progressively with decreasing keV and were significantly higher between 40 and 60 keV (P < 0.001). There was a significant improvement of readers' visualization of arterial anatomy at lower monochromatic energies (P < 0.001). Iodine density images yielded significantly higher CNR compared with all monochromatic data sets (P < 0.001). However, iodine density images were scored nondiagnostic by the 2 readers.
Conclusions Synthesized monochromatic images between 40 and 60 keV maximize the magnitude of arterial enhancement and improve visualization of hepatic arterial anatomy at dual-energy MDCT angiography of the liver. Larger body sizes may counteract the benefits of using lower monochromatic energies.
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Details
- Title
- Dual-Energy Multidetector-Row Computed Tomography of the Hepatic Arterial System: Optimization of Energy and Material-Specific Reconstruction Techniques
- Creators
- Daniele Marin - Duke UniversityDevin T. Caywood - Duke UniversityAchille Mileto - Duke UniversityCaecilia S. Reiner - Duke UniversityDanielle M. Seaman - Duke UniversityBhavik N. Patel - Duke UniversityDaniel T. Boll - Duke UniversityRendon C. Nelson - Duke University
- Publication Details
- Journal of computer assisted tomography, v 39(5), pp 721-729
- Publisher
- Lippincott Williams & Wilkins
- Number of pages
- 9
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Radiology (Radiologic Sciences)
- Web of Science ID
- WOS:000361750700013
- Scopus ID
- 2-s2.0-84941896914
- Other Identifier
- 991022138679004721
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- Web of Science research areas
- Radiology, Nuclear Medicine & Medical Imaging