Cell and Tissue Banking

, Volume 18, Issue 3, pp 297–305 | Cite as

Automatic allograft bone selection through band registration and its application to distal femur

  • Yu ZhangEmail author
  • Lei Qiu
  • Fengzan Li
  • Qing Zhang
  • Li Zhang
  • Xiaohui Niu
Full Length Paper


Clinical reports suggest that large bone defects could be effectively restored by allograft bone transplantation, where allograft bone selection acts an important role. Besides, there is a huge demand for developing the automatic allograft bone selection methods, as the automatic methods could greatly improve the management efficiency of the large bone banks. Although several automatic methods have been presented to select the most suitable allograft bone from the massive allograft bone bank, these methods still suffer from inaccuracy. In this paper, we propose an effective allograft bone selection method without using the contralateral bones. Firstly, the allograft bone is globally aligned to the recipient bone by surface registration. Then, the global alignment is further refined through band registration. The band, defined as the recipient points within the lifted and lowered cutting planes, could involve more local structure of the defected segment. Therefore, our method could achieve robust alignment and high registration accuracy of the allograft and recipient. Moreover, the existing contour method and surface method could be unified into one framework under our method by adjusting the lift and lower distances of the cutting planes. Finally, our method has been validated on the database of distal femurs. The experimental results indicate that our method outperforms the surface method and contour method.


Allograft bone transplantation Automatic allograft bone selection Band registration Unified framework 



We are grateful to the valuable comments of the anonymous reviewers. This work is partly supported by National Natural Science Foundation of China under Grant Numbers. 61172125, 61132007 and U1533132.


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Copyright information

© Springer Science+Business Media B.V. 2017

Authors and Affiliations

  1. 1.Department of Electronic EngineeringTsinghua UniversityBeijingChina
  2. 2.School of Foreign LanguagesHebei Normal UniversityShijiazhangChina
  3. 3.Department of Orthopedic OncologyBeijing Jishuitan HospitalBeijingChina

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