References
- Akkiraju N, Edelsbrunner H, Facello M, Fu P, Mucke E, Varela C 1995. Alpha shapes: definition and software. Proceedings of the 1st International Computational Geometry Software Workshop; Minneapolis, MN. vol. 63. p. 66.
- Chowdhury AS, Bhandarkar SM, Robinson RW, Jack CY. 2009. Virtual multi-fracture craniofacial reconstruction using computer vision and graph matching. Computerized Medical Imaging and Graphics. 33(5):333–342. doi:10.1016/j.compmedimag.2009.01.006.
- Chowdhury AS, Bhandarkar SM, Robinson RW, Yu J 2006. Virtual craniofacial reconstruction from computed tomography image sequences exhibiting multiple fractures. 2006 International Conference on Image Processing. Atlanta, GA: IEEE. p. 1173–1176.
- Okada T, Iwasaki Y, Koyama T, Sugano N, Chen YW, Yonenobu K, Sato Y. 2008. Computer-assisted preoperative planning for reduction of proximal femoral fracture using 3-d-ct data. IEEE Transactions on Biomedical Engineering. 56(3):749–759. doi:10.1109/TBME.20082005970.
- Paulano F, Jiménez-Pérez JR, Jiménez JJ. 2018. Simulation of bone fractures via geometric techniques: an overview. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization. 7(5–6):557–562. Available from. doi:10.1080/21681163.2018.1498393.
- Paulano-Godino F, Jiménez-Delgado JJ. 2017. Identification of fracture zones and its application in automatic bone fracture reduction. Computer Methods and Programs in Biomedicine. 141:93–104. doi:10.1016/j.cmpb.2016.12.014.
- Rusu B, Cousins S 2019. Removing outliers using a statistical outlier removal filter. [accessed 12-2019]. https://pcl.readthedocs.io/projects/tutorials/en/latest/statistical_outlier.html.
- Willis A, Anderson D, Thomas T, Brown T, Marsh JL 2007. 3d reconstruction of highly fragmented bone fractures. Medical imaging 2007: image processing; San Diego, CA. vol. 6512. International Society for Optics and Photonics. p. 65121P.
- Winkelbach S, Westphal R, Goesling T 2003. Pose estimation of cylindrical fragments for semi-automatic bone fracture reduction. Joint Pattern Recognition Symposium. Magdeburg, Germany: Springer. p. 566–573.