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A laser scan-based system to measure three dimensional conformation and volume of tissue-engineered constructs

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Tissue Engineering and Regenerative Medicine Aims and scope

Abstract

Tissue engineering is making a progress toward reproduction of original tissue-like constructs to regenerate a damaged tissue. Many studies have been focusing on manufacturing tissue-engineered constructs (TECs), but only few technologies are available to evaluate the conformation and volume of TECs, which critically influences successful implantation of them in vivo. In this study, a laser scan system is developed and applied to measure the volume of irregular objects of engineered cartilages. In the system, the laser beam starts to scan surface of a rotating object at one end, and moves to the other end with a regular interval (Δh) along the rotation axis to repeat the scanning process. Each scanning process yields hypothetical segments of the object and a computer program determines the shape and volume of them to construct 3 dimensional conformations. The total volume of the object is then obtained by summating the volumes of all segments. The accuracy of the laser scan system was verified using three types of regular objects, TECs and irregular objects by comparing the results with those obtained from the geometrical method (absolute value), image-based system and hydrostatic weighing method. The laser scan system showed more than 98% accuracy with less than 1% standard error for all three types of objects, while the imagebased system showed approximately 95∼97% accuracy. These findings suggest that the laser scan system is a very accurate and reproducible tool to evaluate 3D conformation of TECs to be implanted in vivo.

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Reference

  1. JH Cui, SR Park, K Park, et al., Preconditioning of rabbit mesenchymal stem cells in polyglycolic acid (PGA) scaffold using low-intensity ultrasound improved regeneration of cartilage in rabbit articular cartilage defect model, Tissue Eng Regen Med, 7, 24 (2010).

    Google Scholar 

  2. JG Park, JH Lee, JN Kim, et al., Chondrogenic differentiation of human adipose tissue-derived stem cells in functional PLGA scaffolds, Tissue Eng Regen Med, 8, 47 (2011).

    Google Scholar 

  3. JJ Yoo, HN Kim, EH Bae, et al., Culture of human chondrocytes in a macroporous PLGA scaffold for up to sixteen weeks, Tissue Eng Regen Med, 8, 300 (2011).

    Google Scholar 

  4. P Dastidar, T Heinonen, T Vahvelainen, et al., Computerised volumetric analysis of lesions in multiple sclerosis using new semi-automatic segmentation software, Med Biol Eng Comput, 37, 104 (1999).

    Article  PubMed  CAS  Google Scholar 

  5. S Shiffman, GD Rubin, S Napel, Medical image segmentation using analysis of isolable-contour maps, IEEE Trans Med Imaging, 19,1064 (2000).

    Article  PubMed  CAS  Google Scholar 

  6. L Hangody, P Feczko, L Bartha, et al., Mosaicplasty for the treatment of articular defects of the knee and ankle, Clin Orthop Relat Res, 391, S328 (2001).

    Article  PubMed  Google Scholar 

  7. L Bartha, A Vajda, Z Duska, et al., Autologous osteochondral mosaicplasty grafting, J Orthop Sports Phys Ther, 36, 739 (2006).

    Article  PubMed  Google Scholar 

  8. AM Bhosale, JB Richardson, Articular cartilage: structure, injuries and review of management, Br Med Bull, 87, 77 (2008).

    Article  PubMed  Google Scholar 

  9. RS Tuan, A second-generation autologous chondrocyte implantation approach to the treatment of focal articular cartilage defects, Arthritis Res Ther, 9, 109 (2007).

    Article  PubMed  Google Scholar 

  10. A Akkouch, Z Zhang, M Rouabhia. A novel collagen/hydroxyapatite/poly (lactide-co-ɛ-caprolactone) biodegradable and bioactive 3D porous scaffold for bone regeneration, J Biomed Mater Res A, 96, 693 (2011).

    PubMed  Google Scholar 

  11. W Dai, N Kawazoe, X Lin, et al., The influence of structural design of PLGA/collagen hybrid scaffolds in cartilage tissue engineering, Biomaterials, 31, 2141 (2010).

    Article  PubMed  CAS  Google Scholar 

  12. GT Chen, JH Kung, KP Beaudette, Artifacts in computed tomography scanning of moving objects, Semin Radiat Oncol, 14, 19 (2004).

    Article  PubMed  Google Scholar 

  13. E Odaci, B Sahin, OF Sonmez, et al., Rapid estimation of the vertebral body volume: a combination of the cavalieri principle and computed tomography images, Eur J Radiol, 48, 316 (2003).

    Article  PubMed  Google Scholar 

  14. KH Choi, BS Yoo, SR Park, et al., Novel imaging analysis system to measure the spatial dimension of engineered tissue construct, Artif Organs, 34, 158 (2010).

    Article  PubMed  Google Scholar 

  15. AC Da Silveira, JL Daw Jr, B Kusnoto, et al., Craniofacial applications of three-dimensional laser surface scanning, J Craniofac Surg, 14, 449 (2003).

    Article  PubMed  Google Scholar 

  16. N Mankovich J, D Samson, W Pratt, et al., Surgical planning using three-dimensional imaging and computer modeling, Otolaryngol Clin North Am, 27, 875 (1994).

    PubMed  CAS  Google Scholar 

  17. Y Yang, N Paton, Laser scanning as a tool for assessment of HIV-related facial lipoatrophy: evaluation of accuracy and reproducibility, HIV Med, 6, 321 (2005).

    Article  PubMed  CAS  Google Scholar 

  18. I Wilson, L Snape, R Fright, et al., An investigation of laser scanning techniques for quantifying changes in facial soft-tissue volume, N Z Dent J, 93, 110 (1997).

    PubMed  CAS  Google Scholar 

  19. S Aung, R Ngim, S Lee, Evaluation of the laser scanner as a surface measuring tool and its accuracy compared with direct facial anthropometric measurements, Br J Plast Surg, 48, 551 (1995).

    Article  PubMed  CAS  Google Scholar 

  20. KH Choi, BH Choi, SR Park, et al., The chondrogenic differentiation of mesenchymal stem cells on an extracellular matrix scaffold derived from porcine chondrocytes, Biomaterials, 31, 5355 (2010).

    Article  PubMed  CAS  Google Scholar 

  21. K Chang, Y Lee, Hydrostatic weighing at KRISS, Metrologia, 41, S95 (2004).

    Article  Google Scholar 

  22. CH Kau, S Richmond, AI Zhurov, et al., Reliability of measuring facial morphology with a 3-dimensional laser scanning system, Am J Orthod Dentofacial Orthop, 128, 424 (2005).

    Article  PubMed  Google Scholar 

  23. HY Feng, Y Liu, F Xi, Analysis of digitizing errors of a laser scanning system, Precision Engineering, 25, 185 (2001).

    Article  Google Scholar 

  24. CA McGibbon, J Bencardino, ED Yeh, et al., Accuracy of cartilage and subchondral bone spatial thickness distribution from MRI, J Magn Reson Imaging, 17, 703 (2003).

    Article  PubMed  Google Scholar 

  25. A Wyler, V Bousson, C Bergot, et al., Hyaline cartilage yhickness in radiographically normal cadaveric hips: comparison of spiral CT arthrographic and macroscopic measurements1, Radiology, 242, 441 (2007).

    Article  PubMed  Google Scholar 

  26. J Yao, B Seedhom, Ultrasonic measurement of the thickness of human articular cartilage in situ, Rheumatology, 38, 1269 (1999).

    Article  PubMed  CAS  Google Scholar 

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Correspondence to Byoung-Hyun Min.

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These authors contributed equally to this work.

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Choi, KH., Song, B.R., Yoo, BS. et al. A laser scan-based system to measure three dimensional conformation and volume of tissue-engineered constructs. Tissue Eng Regen Med 10, 371–379 (2013). https://doi.org/10.1007/s13770-013-1099-4

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  • DOI: https://doi.org/10.1007/s13770-013-1099-4

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