89
Views
1
CrossRef citations to date
0
Altmetric
Review Articles

A Multi-Level Set Approach for Bone Segmentation in Lumbar Ultrasound Images

, &

References

  • F. Curvers, N. Meschi, A. Vanhoenacker, O. Strijbos, M. Van Mierlo, and P. Lambrechts, “Ultrasound assessment of bone healing after root-end surgery: Echoes back to patient’s safety,” J. Endodontics, Vol. 44, pp. 32–7, 2018. DOI: 10.1016/j.joen.2017.08.028
  • S. Gore, “Stable, developmental; LUMBAR canal stenosis: rethink needed,” J. Orthop. Allied Sci., Vol. 6, pp. 3, 2018. DOI: 10.4103/joas.joas_63_17
  • P. Yan, S. Xu, B. Turkbey, and J. Kruecker, “Adaptively learning local shape statistics for prostate segmentation in ultrasound,” IEEE Trans. Biomed. Eng., Vol. 58, pp. 633–41, 2011. DOI: 10.1109/TBME.2010.2094195
  • M. Sofka, J. Zhang, S. Good, S. K. Zhou, and D. Comaniciu, “Automatic detection and measurement of structures in fetal head ultrasound volumes using sequential estimation and integrated detection network (IDN),” IEEE Trans. Med. Imag., Vol. 33, pp. 1054–70, 2014. DOI: 10.1109/TMI.2014.2301936
  • L. Nascimento, and M. G. Ruano. “Computer-aided bone fracture identification based on ultrasound images,” in 2015 IEEE 4th Portuguese Meeting on Bioengineering (ENBENG), 2015, pp. 1–6. doi:10.1109/ENBENG.2015.7088892
  • J. Foiret, J.-G. Minonzio, C. Chappard, M. Talmant, and P. Laugier, “Combined estimation of thickness and velocities using ultrasound guided waves: a pioneering study on in vitro cortical bone samples,” IEEE Trans. Ultrason, Ferroelectr. Freq. Control, Vol. 61, pp. 1478–88, 2014. DOI: 10.1109/TUFFC.2014.3062
  • M. B. Hossain, K. W. Lai, B. Pingguan-Murphy, Y. C. Hum, M. I. M. Salim, and Y. M. Liew, “Contrast enhancement of ultrasound imaging of the knee joint cartilage for early detection of knee osteoarthritis,” Biomed. Signal Process. Control, Vol. 13, pp. 157–67, 2014. DOI: 10.1016/j.bspc.2014.04.008
  • D. Gupta, R. Anand, and B. Tyagi, “Despeckling of ultrasound images of bone fracture using M-band ridgelet transform,” Optik, Vol. 125, pp. 1417–22, 2014. DOI: 10.1016/j.ijleo.2013.08.007
  • R. Deshpande, R. E. Ramalingam, N. Chockalingam, R. Naemi, H. Branthwaite, and L. Sundar. “An automated segmentation technique for the processing of foot ultrasound images,” in 2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing, 2013, pp. 380–3. doi:10.1109/ISSNIP.2013.6529820
  • M. Masum, M. Pickering, A. J. Lambert, J. Scarvell, and P. Smith, “Precision analysis of single-element ultrasound sensor for kinematic analysis of knee joints,” Electron. Lett., Vol. 50, pp. 1047–8, 2014. DOI: 10.1049/el.2014.1230
  • X. Zhou, et al., “Ultrasound bio-microscopic image segmentation for evaluation of zebrafish cardiac function,” IEEE Trans. Ultrason, Ferroelectr. Freq. Control, Vol. 60, pp. 718–26, 2013. DOI: 10.1109/TUFFC.2013.2620
  • S. Yu, K. K. Tan, C. Shen, and A. T. H. Sia. “Ultrasound guided automatic localization of needle insertion site for epidural anesthesia,” in 2013 IEEE International Conference on Mechatronics and Automation (ICMA), 2013, pp. 985–90. doi:10.1109/ICMA.2013.6618049
  • S. Rueda, et al., “Evaluation and comparison of current fetal ultrasound image segmentation methods for biometric measurements: A grand challenge,” IEEE Trans. Med. Imag., Vol. 33, pp. 797–813, 2014. DOI: 10.1109/TMI.2013.2276943
  • H. Zhang, Q. M. J. Wu, and T. M. Nguyen, “Image segmentation by Dirichlet process mixture model with generalised mean,” Iet Image Process., Vol. 8, pp. 103–11, 2014. DOI: 10.1049/iet-ipr.2013.0232
  • D. Wen, et al., “Modified block-matching 3-D filter in Laplacian pyramid domain for speckle reduction,” Opt. Commun., Vol. 322, pp. 150–4, 2014. DOI: 10.1016/j.optcom.2014.02.034
  • P. Carre, and E. Andres, “Discrete analytical ridgelet transform,” Signal Process., Vol. 84, pp. 2165–73, 2004. DOI: 10.1016/j.sigpro.2004.07.009
  • L. A. Vese, and T. F. Chan, “A multiphase level set framework for image segmentation using the Mumford and Shah model,” Int. J. Comput. Vision, Vol. 50, pp. 271–93, 2002. DOI: 10.1023/A:1020874308076

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.