Three-Dimensional Printing and Imaging

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Guest Editor
Department of Computer Science, North Dakota State University, Fargo, ND 58102, USA
Interests: artificial/computational Intelligence; autonomy applications in aerospace; cybersecurity; 3D printing command/control and assessment; educational assessment in computing disciplines
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Special Issue Information

Dear Colleagues,

Three-dimensional printing (also known as additive manufacturing) is a growing technology area that appears poised to change how goods and services are produced in many industries. Using 3D printing, production decisions can be made closer to point of sale or use, products can be customized, and, in some cases, hitherto unmanufacturable (or difficult to manufacture) items can be produced.

Three-dimensional imaging (scanning) is, similarly, growing in use. Scanning can be used to capture objects, limbs and numerous other things for 3D printing, to serve as a template or input to the 3D printing process, for (2D or 3D) display and other purposes.

This Special Issue focuses on the uses of imaging techniques for 3D printing and the relationship between imaging, printed objects, object quality and object design. Papers related to the use of imaging in the product creation or customization process, for quality assurance and other uses relative to 3D printing are welcomed. Additionally of interest are papers regarding the use of 3D imaging for other purposes. Papers considering policy, legal, societal and other implications of 3D printing and scanning are also very relevant to the Special Issue.

Dr. Jeremy Straub
Guest Editor

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Keywords

  • Additive manufacturing
  • 3D printing
  • 3D scanning
  • 3D imaging
  • Model creation
  • Quality assurance

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Published Papers (1 paper)

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Research

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Article
The Accuracy of 3D Optical Reconstruction and Additive Manufacturing Processes in Reproducing Detailed Subject-Specific Anatomy
by Paolo Ferraiuoli, Jonathan C. Taylor, Emily Martin, John W. Fenner and Andrew J. Narracott
J. Imaging 2017, 3(4), 45; https://doi.org/10.3390/jimaging3040045 - 12 Oct 2017
Cited by 12 | Viewed by 9091
Abstract
3D reconstruction and 3D printing of subject-specific anatomy is a promising technology for supporting clinicians in the visualisation of disease progression and planning for surgical intervention. In this context, the 3D model is typically obtained from segmentation of magnetic resonance imaging (MRI), computed [...] Read more.
3D reconstruction and 3D printing of subject-specific anatomy is a promising technology for supporting clinicians in the visualisation of disease progression and planning for surgical intervention. In this context, the 3D model is typically obtained from segmentation of magnetic resonance imaging (MRI), computed tomography (CT) or echocardiography images. Although these modalities allow imaging of the tissues in vivo, assessment of quality of the reconstruction is limited by the lack of a reference geometry as the subject-specific anatomy is unknown prior to image acquisition. In this work, an optical method based on 3D digital image correlation (3D-DIC) techniques is used to reconstruct the shape of the surface of an ex vivo porcine heart. This technique requires two digital charge-coupled device (CCD) cameras to provide full-field shape measurements and to generate a standard tessellation language (STL) file of the sample surface. The aim of this work was to quantify the error of 3D-DIC shape measurements using the additive manufacturing process. The limitations of 3D printed object resolution, the discrepancy in reconstruction of the surface of cardiac soft tissue and a 3D printed model of the same surface were evaluated. The results obtained demonstrated the ability of the 3D-DIC technique to reconstruct localised and detailed features on the cardiac surface with sub-millimeter accuracy. Full article
(This article belongs to the Special Issue Three-Dimensional Printing and Imaging)
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