2020
DOI: 10.1007/s13246-020-00864-5
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Quasi-simultaneous 3D printing of muscle-, lung- and bone-equivalent media: a proof-of-concept study

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Cited by 36 publications
(48 citation statements)
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“…The ρ determined by measurement of mass and volume was 1.08 g/ cm 3 , which was similarly close to unity and similar to water, and which also confirmed that the bone-like density identified in the kV CT images resulted from photoelectric enhancement in the small proportion of radiopacifier in the sample (see Table 1) and did not accurately reflect the true ρ of the sample.…”
Section: Radiological Characterisationmentioning
confidence: 59%
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“…The ρ determined by measurement of mass and volume was 1.08 g/ cm 3 , which was similarly close to unity and similar to water, and which also confirmed that the bone-like density identified in the kV CT images resulted from photoelectric enhancement in the small proportion of radiopacifier in the sample (see Table 1) and did not accurately reflect the true ρ of the sample.…”
Section: Radiological Characterisationmentioning
confidence: 59%
“…Elemental composition as percentage by mass (%wt) were determined using molecular formula and molecular weight. The bone cement was added to the material definition file required by EGSnrc using this elemental composition and a default density of 1.08 g/cm 3 , directly calculated from the measured mass and apparent volume in CT image of the physical sample.…”
Section: Monte Carlo Simulationsmentioning
confidence: 99%
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“…These methods have allowed muscle and lower density tissues such as lung to be replicated, however, until recently the ability to replicate bone, or high‐density tissues, has proven difficult 6,7 . In addition, earlier studies have often demonstrated the development of individual components of a phantom, often using multiple materials and techniques, before combining them to produce a final phantom 6,9‐11 …”
Section: Introductionmentioning
confidence: 99%
“…Thus, we are enabling a cost-effective manufacturing process that generates realistic models of human lungs without sacrificing spatial and contrast resolution.Over the last decade, several approaches have been proposed to produce clinically applicable CT phantoms. Kairn et al introduced a method to generate a patient-based lung phantom20 . They segmented CT images of the lung into three different regions and produced a tissue equivalent lung phantom.…”
mentioning
confidence: 99%