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Multi-view stereophotogrammetry for post-mastectomy breast reconstruction

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Abstract

A multi-view three-dimensional stereophotogrammetry system was developed to capture 3D shape of breasts for breast cancer patients. The patients had received immediate unilateral breast reconstruction after mastectomy by the extended latissimus dorsi flap and without contralateral surgery. In order to capture the whole breast shape including the inframammary fold, the patients were introduced to the imaging room and leaned over the imaging rig to open up the inframammary fold and to expose the entire area of each breast. The imaging system consisted of eight high-resolution (\(4504\times 3000\) pixels) digital cameras and four flash units. The cameras were arranged in four stereo pairs from four different view angles to cover the whole surface of the breasts. The system calibration was carried out ahead of every capture session, and the stereo images were matched to generate four range images to be integrated using an elastic model proposed. A watertight breast mesh model was reconstructed to measure the volume of the breast captured. The accuracy of using the developed multi-view stereophotogrammetry system for breast volume measurement was 11.12cc with SEM 7.74cc, comparing to the measurements of the water displacement method. It was concluded that the 3D stereophotogrammetry image system developed was more reliable than the method of water displacement.

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References

  1. Mahmood U, Hanlon A, Koshy M, Buras R, Chumsri S, Tkaczuk K, Cheston S, Regine W, Feigenberg S (2013) Increasing national mastectomy rates for the treatment of early stage breast cancer. Ann Surg Oncol 20(5):1436–1443

    Article  PubMed  Google Scholar 

  2. Lee J, Kawale M, Merchant FA, Weston J, Fingeret MC, Ladewig D, Reece GP, Crosby MA, Beahm EK, Markey MK (2011) Validation of stereophotogrammetry of the human torso. Breast Cancer (Auckl) 5:15–25

    Google Scholar 

  3. Kim M, Sbalchiero J, Reece G, Miller M, Beahm E, Markey M (2008) Assessment of breast aesthetics. Plast Reconstr Surg 121(4):186–194

    Article  Google Scholar 

  4. Tepper OM, Karp NS, Small K, Unger J, Rudolph L, Pritchard A, Choi M (2008) Three-dimensional imaging provides valuable clinical data to aid in unilateral tissue expander-implant breast reconstruction. Breast J 14(6):543–550

    Article  PubMed  Google Scholar 

  5. Georgii J, Eder M, Burger K, Klotz S, Ferstl F, Kovacs L, Westermann R (2013) A computational tool for pre-operative breast augmentation planning in aesthetic plastic surgery. IEEE J Biomed Health Inform, Oct 2013

  6. Sigurdson LJ, Kirkland SA (2006) Breast volume determination in breast hypertrophy: an accurate method using two anthropomorphic measurements. Plast Reconstr Surg 118(2):313–320

    Article  CAS  PubMed  Google Scholar 

  7. Milligan D, Drife J, Short RV (1975) Changes in breast volume during normal menstrual cycle and after oral contraceptives. Br Med J 29(4):494–496

    Article  Google Scholar 

  8. Fleming J, Hames T, Smallwood J (1986) Comparison of volume changes in the forearm assessed by impedance and water-displacement plethysmography. Med Biol Eng Comput 24(4):375–378

    Article  CAS  PubMed  Google Scholar 

  9. Edsander-Nord A, Wickman M, Jurell G (1996) Measurement of breast volume with thermoplastic casts. Scand J Plast Reconstr Hand Surg 30:129–132

    Article  CAS  Google Scholar 

  10. Ishida A, Mori Y, Kishimoto H, Nakazima T, Tsubakimoto H (1987) Body shape measurement for scoliosis evaluation. Med Biol Eng Comput 25(5):583–585

    Article  CAS  PubMed  Google Scholar 

  11. Pazos V, Cheriet F, Song L, Labelle H, Dansereau J (2005) Accuracy assessment of human trunk surface 3d reconstructions from an optical digitising system. Med Biol Eng Comput 43(1):11–15

    Article  CAS  PubMed  Google Scholar 

  12. Esme D, Bucksch A, Beekman W (2009) Three-dimensional laser imaging as a valuable tool for specifying changes in breast shape after augmentation mammaplasty. Aesthet Plast Surg 33:191–195

    Article  Google Scholar 

  13. DuBray BJ Jr, Levy RV, Balachandran P, Conzen KD, Upadhya GA, Anderson CD, Chapman WC (2011) Novel three-dimensional imaging technique improves the accuracy of hepatic volumetric assessment. HPB 13(9):670–674

    Article  PubMed  PubMed Central  Google Scholar 

  14. Ahcan U, Bracun D, Zivec K, Pavlic R, Butala P (2011) The use of 3d laser imaging and a new breast replica cast as a method to optimize autologous breast reconstruction after mastectomy, The Breast

  15. Loughry CW, Sheffer DB, Price TE, Lackney MJ, Bartfai RG, Morek WM (1987) Breast volume measurement of 248 women using biostereometric analysis. Plast Reconstr Surg 80(4):553–558

    Article  CAS  PubMed  Google Scholar 

  16. Malata C, Boot J, Bradbury E, Ramli A, Sharpe D (1994) Congenital breast asymmetry: subjective and objective assessment. Br J Plast Surg 47(2):95–102

    Article  CAS  PubMed  Google Scholar 

  17. Sun CS, Markey MK, Merchant FA, Ravi-Chandar K, Fingeret MC, Reece GP (2013) 3d computer technology addresses body-image issues of breast reconstruction. SPIE Newsroom. doi:10.1117/2.1201307.005016,25 July

  18. Benjamin R, Prakoonwit S, Matalas I, Kitney R (1996) Object-based three-dimensional x-ray imaging. Med Biol Eng Comput 34(6):423–430

    Article  CAS  PubMed  Google Scholar 

  19. Mitulescu A, Semaan I, De Guise J, Leborgne P, Adamsbaum C, Skalli W (2001) Validation of the non-stereo corresponding points stereoradiographic 3d reconstruction technique. Med Biol Eng Comput 39(2):152–158

    Article  CAS  PubMed  Google Scholar 

  20. Dumas R, Blanchard B, Carlier R, de Loubresse C, Le Huec J-C, Marty C, Moinard M, Vital J-M (2008) A semi-automated method using interpolation and optimisation for the 3d reconstruction of the spine from bi-planar radiography: a precision and accuracy study. Med Biol Eng Comput 46(1):85–92

    Article  PubMed  Google Scholar 

  21. Slama CC (ed) (1980) Manual of photogrammetry. 5410 Grosvenor Lane, Suite 210, Bethesda, MD 20814–2160, USA. American Society for Photogrammetry and Remote Sen

  22. Tsai R (1987) A versatile camera calibration technique for high-accuracy 3d machine vision metrology using off-the-shelf tv cameras and lenses. IEEE J Robot Autom 3:323–344

    Article  Google Scholar 

  23. Zhang Z (2000) A flexible new technique for camera calibration. IEEE Trans Pattern Anal Mach Intell 22:1330–1334

    Article  Google Scholar 

  24. Ju X, Siebert P, McFarlane N, Wu J, Tillett R, Schofield P (2004) A stereo imaging system for the metric 3d recovery of porcine surface anatomy. Sens Rev 24(3):298–307

    Article  Google Scholar 

  25. Wu J, Tillett R, McFarlane N, Ju X, Siebert P, Schofield P (2004) Extracting the three-dimensional shape of live pigs using stereo photogrammetry. Comput Electron Agricult 44:203–222

    Article  Google Scholar 

  26. Henseler H, Ju X, Ayoub A, Ray AK (2013) The importance of the pose in three-dimensional imaging of the ptotic breast. J Plast Reconstr Aesthet Surg 66:1551–1556

    Article  PubMed  Google Scholar 

  27. Urquhart CW (1997) The active stereo probe: The design and implementation of an active videometrics system. phd thesis., tech. rep., University of Glasgow

  28. Siebert JP, Urquhart CW (CW) C3d: a novel vision-based 3d data acquisition system. In: Proceedings of the Mona Lisa European workshop, combined real and synthetic image processing for broadcast and video production, (Hamburg, Germany), August 1998

  29. Lorensen WE, Cline HE (1987) Marching cubes: a high resolution 3d surface construction algorithm. ACM SIGGRAPH Comput Gr 21(4):163–169

    Article  Google Scholar 

  30. Henseler H, Khambay BS, Bowman A, Smith J, Siebert JP, Oehlera S, Ju X, Ayoub A, Raya AK (2011) Investigation into accuracy and reproducibility of a 3d breast imaging system using multiple stereo cameras. J Plast Reconstr Aesthet Surg 64(5):577–582

    Article  PubMed  Google Scholar 

  31. Dey TK, Goswami S, Cocone T (2003) A watertight surface reconstructor. J Comput Inf Sci Eng 13:302–307

    Article  Google Scholar 

  32. Zhu C, Leow WK (2013) Textured mesh surface reconstruction of large buildings with multi-view stereo, The Visual Computer, pp 1–7

  33. Turk G, Levoy M (1994) Zippered polygon meshes from range images. In: SIGGRAPH’94, July 24–29

  34. Wang J, Oliveira MM (2003) A hole-filling strategy for reconstruction of smooth surfaces in range images. In: Computer graphics and image processing, 2003. SIBGRAPI 2003. XVI Brazilian symposium on 2003, pp 11–18

  35. Zhou H, Liu Y (2008) Accurate integration of multi-view range images using k-means clustering. Pattern Recogn 41:151–175

    Google Scholar 

  36. Davis J, Marschner SR, Garr M, Levoy M (2002) Filling holes in complex surfaces using volumetric diffusion. In: Proceedings of first international symposium on 3D data processing visualization and transmission, pp 428–861, June 19–21

  37. Curless B, Levoy M (1996) A volumetric method for building complex models from range images. In: SIGGRAPH, pp 302–312

  38. Li Z, Jia W, Mao Z-H, Li J, Chen H-C, Zuo W, Wang K, Sun M (2013) Anthropometric body measurements based on multi-view stereo image reconstruction. In: Engineering in medicine and biology society (EMBC), 2013 35th annual international conference of the IEEE, pp 366–369, IEEE

  39. Plankers R, Fua P (2003) Articulated soft objects for multiview shape and motion capture. PAMI 25(9):1182–1187

    Article  Google Scholar 

  40. Starck J, Hilton A (2003) Model-based multiple view reconstruction of people. In: ICCV’2003, pp 915–922

  41. Jolivet E, Sandoz B, Laporte S, Mitton D, Skalli W (2010) Fast 3d reconstruction of the rib cage from biplanar radiographs. Med Biol Eng Comput 48(8):821–828

    Article  CAS  PubMed  Google Scholar 

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Correspondence to Xiangyang Ju.

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The authors declare that they have no conflict of interest.

Ethical standard

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. Approval has been granted form national ethics committee (IRAS), and sponsorship was obtained from Greater Glasgow & Clyde Health Board (R & D Ref: WN08BU237) of the UK. The source of data is 3D stereophotogrammetry images of the breast following cancer resection and reconstruction.

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Ju, X., Henseler, H., Peng, M.Jq. et al. Multi-view stereophotogrammetry for post-mastectomy breast reconstruction. Med Biol Eng Comput 54, 475–484 (2016). https://doi.org/10.1007/s11517-015-1334-3

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