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Application of Photogrammetry in Biomedical Science.
Ronja Struck1, Sara Cordoni1, Sofia Aliotta1
1School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK.
Advances in Experimental Medicine and Biology
|March 29, 2019
Summary
Photogrammetry offers a non-invasive, cost-effective method for 3D reconstruction in biomedical science. This review guides researchers in selecting and implementing photogrammetry techniques for accurate digital imaging.
Area of Science:
- Biomedical Science
- Medical Imaging
- 3D Reconstruction
Background:
- Photogrammetry presents a non-invasive and cost-effective alternative to traditional 3D imaging methods like computed tomography.
- Its application in biomedical science is growing for digital 3D reconstruction.
Purpose of the Study:
- To introduce current photogrammetry approaches for biomedical 3D reconstruction.
- To discuss the suitability of different photogrammetry methods for various applications.
- To guide researchers in selecting appropriate photogrammetry techniques and obtaining high-quality data.
Main Methods:
- Review of existing photogrammetry techniques for biomedical 3D reconstruction.
- Discussion of single- vs. multi-camera setups, structure-from-motion vs. conventional photogrammetry, and macro- vs. microphotogrammetry.
- Guidance on data acquisition for high-quality 3D reconstructions.
Main Results:
- Photogrammetry offers significant advantages for diverse biomedical applications.
- Key considerations for choosing photogrammetry approaches include camera setup and reconstruction methodology.
- High-quality image acquisition is crucial for accurate 3D reconstruction.
Conclusions:
- Photogrammetry is a promising technology for biomedical 3D imaging.
- Understanding different photogrammetry approaches and data quality requirements is essential for successful implementation.
- Further research and application of photogrammetry will advance non-invasive 3D reconstruction in medicine.
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