10
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Recent advances on the development of phantoms using 3D printing for imaging with CT, MRI, PET, SPECT, and ultrasound

      review-article
      1 , 2 ,
      Medical Physics
      John Wiley and Sons Inc.
      3D printing, CT, image quality, mammography, MR, PET, phantoms, SPECT, US

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Purpose

          Printing technology, capable of producing three‐dimensional (3D) objects, has evolved in recent years and provides potential for developing reproducible and sophisticated physical phantoms. 3D printing technology can help rapidly develop relatively low cost phantoms with appropriate complexities, which are useful in imaging or dosimetry measurements. The need for more realistic phantoms is emerging since imaging systems are now capable of acquiring multimodal and multiparametric data. This review addresses three main questions about the 3D printers currently in use, and their produced materials. The first question investigates whether the resolution of 3D printers is sufficient for existing imaging technologies. The second question explores if the materials of 3D‐printed phantoms can produce realistic images representing various tissues and organs as taken by different imaging modalities such as computer tomography (CT), positron emission tomography (PET), single‐photon emission computed tomography (SPECT), magnetic resonance imaging (MRI), ultrasound (US), and mammography. The emergence of multimodal imaging increases the need for phantoms that can be scanned using different imaging modalities. The third question probes the feasibility and easiness of “printing” radioactive or nonradioactive solutions during the printing process.

          Methods

          A systematic review of medical imaging studies published after January 2013 is performed using strict inclusion criteria. The databases used were Scopus and Web of Knowledge with specific search terms. In total, 139 papers were identified; however, only 50 were classified as relevant for this paper. In this review, following an appropriate introduction and literature research strategy, all 50 articles are presented in detail. A summary of tables and example figures of the most recent advances in 3D printing for the purposes of phantoms across different imaging modalities are provided.

          Results

          All 50 studies printed and scanned phantoms in either CT, PET, SPECT, mammography, MRI, and US—or a combination of those modalities. According to the literature, different parameters were evaluated depending on the imaging modality used. Almost all papers evaluated more than two parameters, with the most common being Hounsfield units, density, attenuation and speed of sound.

          Conclusions

          The development of this field is rapidly evolving and becoming more refined. There is potential to reach the ultimate goal of using 3D phantoms to get feedback on imaging scanners and reconstruction algorithms more regularly. Although the development of imaging phantoms is evident, there are still some limitations to address: One of which is printing accuracy, due to the printer properties. Another limitation is the materials available to print: There are not enough materials to mimic all the tissue properties. For example, one material can mimic one property—such as the density of real tissue—but not any other property, like speed of sound or attenuation.

          Related collections

          Most cited references84

          • Record: found
          • Abstract: found
          • Article: not found

          Medical 3D Printing for the Radiologist.

          While use of advanced visualization in radiology is instrumental in diagnosis and communication with referring clinicians, there is an unmet need to render Digital Imaging and Communications in Medicine (DICOM) images as three-dimensional (3D) printed models capable of providing both tactile feedback and tangible depth information about anatomic and pathologic states. Three-dimensional printed models, already entrenched in the nonmedical sciences, are rapidly being embraced in medicine as well as in the lay community. Incorporating 3D printing from images generated and interpreted by radiologists presents particular challenges, including training, materials and equipment, and guidelines. The overall costs of a 3D printing laboratory must be balanced by the clinical benefits. It is expected that the number of 3D-printed models generated from DICOM images for planning interventions and fabricating implants will grow exponentially. Radiologists should at a minimum be familiar with 3D printing as it relates to their field, including types of 3D printing technologies and materials used to create 3D-printed anatomic models, published applications of models to date, and clinical benefits in radiology. Online supplemental material is available for this article.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            From medical imaging data to 3D printed anatomical models

            Anatomical models are important training and teaching tools in the clinical environment and are routinely used in medical imaging research. Advances in segmentation algorithms and increased availability of three-dimensional (3D) printers have made it possible to create cost-efficient patient-specific models without expert knowledge. We introduce a general workflow that can be used to convert volumetric medical imaging data (as generated by Computer Tomography (CT)) to 3D printed physical models. This process is broken up into three steps: image segmentation, mesh refinement and 3D printing. To lower the barrier to entry and provide the best options when aiming to 3D print an anatomical model from medical images, we provide an overview of relevant free and open-source image segmentation tools as well as 3D printing technologies. We demonstrate the utility of this streamlined workflow by creating models of ribs, liver, and lung using a Fused Deposition Modelling 3D printer.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Ten challenges in 3D printing

                Bookmark

                Author and article information

                Contributors
                c.tsoumpas@leeds.ac.uk
                Journal
                Med Phys
                Med Phys
                10.1002/(ISSN)2473-4209
                MP
                Medical Physics
                John Wiley and Sons Inc. (Hoboken )
                0094-2405
                2473-4209
                24 July 2018
                September 2018
                : 45
                : 9 ( doiID: 10.1002/mp.2018.45.issue-9 )
                : e740-e760
                Affiliations
                [ 1 ] Institute of Medical and Biological Engineering Faculty of Mechanical Engineering University of Leeds Leeds LS2 9JT West Yorkshire UK
                [ 2 ] Department of Biomedical Imaging Science School of Medicine University of Leeds Leeds LS2 9NL West Yorkshire UK
                Author notes
                [*] [* ]Author to whom correspondence should be addressed. Electronic mail: c.tsoumpas@ 123456leeds.ac.uk .
                Article
                MP13058
                10.1002/mp.13058
                6849595
                29933508
                6192fff2-439c-4bcf-aebf-eea47e7ffe06
                © 2018 The Authors. Medical Physics published by Wiley Periodicals, Inc. on behalf of American Association of Physicists in Medicine.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 05 May 2017
                : 03 June 2018
                : 15 June 2018
                Page count
                Figures: 14, Tables: 2, Pages: 21, Words: 16756
                Funding
                Funded by: Engineering and Physical Sciences Research Council (EPSRC) , open-funder-registry 10.13039/501100000266;
                Award ID: EP/L014823/1
                Categories
                Review Article
                Review Articles
                Custom metadata
                2.0
                September 2018
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.7.1 mode:remove_FC converted:12.11.2019

                3d printing,ct,image quality,mammography,mr,pet,phantoms,spect,us
                3d printing, ct, image quality, mammography, mr, pet, phantoms, spect, us

                Comments

                Comment on this article