Application of Photogrammetry in Biomedical Science

Ronja Struck, Sara Cordoni, Sofia Aliotta, Laura Perez-Pachon, Flora Gröning

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

Abstract

Photogrammetry is an upcoming technology in biomedical science as it provides a non-invasive and cost-effective alternative to established 3D imaging techniques such as computed tomography. This review introduces the photogrammetry approaches currently used for digital 3D reconstruction in biomedical science and discusses their suitability for different applications. It aims to offer the reader a better understanding of photogrammetry as a 3D reconstruction technique and to provide some guidance on how to choose the appropriate photogrammetry approach for their research area (including single- versus multi-camera setups, structure-from-motion versus conventional photogrammetry and macro- versus microphotogrammetry) as well as guidance on how to obtain high-quality data. This review highlights some key advantages of photogrammetry for a variety of applications in biomedical science, but it also discusses the limitations of this technique and the importance of taking steps to obtain high-quality images for accurate 3D reconstruction.
Original languageEnglish
Title of host publicationBiomedical Visualisation
EditorsPaul M. Rea
PublisherSpringer
Pages121-130
Number of pages10
Volume1
ISBN (Electronic)9783030060701
ISBN (Print)9783030060695
DOIs
Publication statusPublished - 2019

Publication series

NameAdvances in Experimental Medicine and Biology
PublisherSpringer
Volume1120
ISSN (Print)0065-2598
ISSN (Electronic)2214-8019

Fingerprint

photogrammetry
data quality
tomography
science
cost

Keywords

  • digital 3D reconstruction
  • multi-camera setup
  • structure-from-motion stereophotogrammetry
  • microphotogrammetry
  • medicine
  • Medicine
  • Microphotogrammetry
  • Multi-camera setup
  • Digital 3D reconstruction
  • Structure-from-motion stereophotogrammetry

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)

Cite this

Struck, R., Cordoni, S., Aliotta, S., Perez-Pachon, L., & Gröning, F. (2019). Application of Photogrammetry in Biomedical Science. In P. M. Rea (Ed.), Biomedical Visualisation (Vol. 1, pp. 121-130). (Advances in Experimental Medicine and Biology; Vol. 1120). Springer . https://doi.org/10.1007/978-3-030-06070-1_10

Application of Photogrammetry in Biomedical Science. / Struck, Ronja ; Cordoni, Sara; Aliotta, Sofia ; Perez-Pachon, Laura; Gröning, Flora.

Biomedical Visualisation. ed. / Paul M. Rea. Vol. 1 Springer , 2019. p. 121-130 (Advances in Experimental Medicine and Biology; Vol. 1120).

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

Struck, R, Cordoni, S, Aliotta, S, Perez-Pachon, L & Gröning, F 2019, Application of Photogrammetry in Biomedical Science. in PM Rea (ed.), Biomedical Visualisation. vol. 1, Advances in Experimental Medicine and Biology, vol. 1120, Springer , pp. 121-130. https://doi.org/10.1007/978-3-030-06070-1_10
Struck R, Cordoni S, Aliotta S, Perez-Pachon L, Gröning F. Application of Photogrammetry in Biomedical Science. In Rea PM, editor, Biomedical Visualisation. Vol. 1. Springer . 2019. p. 121-130. (Advances in Experimental Medicine and Biology). https://doi.org/10.1007/978-3-030-06070-1_10
Struck, Ronja ; Cordoni, Sara ; Aliotta, Sofia ; Perez-Pachon, Laura ; Gröning, Flora. / Application of Photogrammetry in Biomedical Science. Biomedical Visualisation. editor / Paul M. Rea. Vol. 1 Springer , 2019. pp. 121-130 (Advances in Experimental Medicine and Biology).
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