Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 31749
Review of the Software Used for 3D Volumetric Reconstruction of the Liver

Authors: P. Strakos, M. Jaros, T. Karasek, T. Kozubek, P. Vavra, T. Jonszta


In medical imaging, segmentation of different areas of human body like bones, organs, tissues, etc. is an important issue. Image segmentation allows isolating the object of interest for further processing that can lead for example to 3D model reconstruction of whole organs. Difficulty of this procedure varies from trivial for bones to quite difficult for organs like liver. The liver is being considered as one of the most difficult human body organ to segment. It is mainly for its complexity, shape versatility and proximity of other organs and tissues. Due to this facts usually substantial user effort has to be applied to obtain satisfactory results of the image segmentation. Process of image segmentation then deteriorates from automatic or semi-automatic to fairly manual one. In this paper, overview of selected available software applications that can handle semi-automatic image segmentation with further 3D volume reconstruction of human liver is presented. The applications are being evaluated based on the segmentation results of several consecutive DICOM images covering the abdominal area of the human body.

Keywords: Image segmentation, semi-automatic, software, 3D volumetric reconstruction.

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 3991


[1] Suhuai, L., Xuechen, L., Jiaming, L., 2014. Review on the methods of automatic liver segmentation from abdominal images. In Journal of Computer and Communications, Vol. 2, No. 2, pp 1-7. Scientific Research. DOI: 10.4236/jcc.2014.22001.
[2] Mharib, A., Ramli, A., Mashohor, S., Mahmood, R., 2012. Survey on liver CT image segmentation methods. In Artificial Intelligence Review, Vol. 37, No. 2 , pp 83-95. Springer Netherlands. DOI: 10.1007/s10462- 011-9220-3.
[3] ITK - Segmentation & Registration Toolkit, 2014. Available from: . (9 November 2014).
[4] VTK - The Visualization Toolkit, 2014. Available from: . (9 November 2014).
[5] ITK-SNAP Home Page, 2014. Available from: . (9 November 2014).
[6] General Public License, 2007. Available from: . (9 November 2014).
[7] Yushkevich, P., Piven, J., Cody, H., Smith, R., Ho, S., Gee, J., Gerig, G., 2006. User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability. In Neuroimage,Vol. 31, No. 3, pp. 1116-28. Elsevier. DOI: 10.1016/j.neuroimage.2006.01.015.
[8] DICOM Homepage, 2014. Available from: . (9 November 2014).
[9] GeoS - Microsoft Research, 2014. Available from: . (9 November 2014).
[10] Microsoft Research License Agreement, 2013. Available from: . (9 November 2014).
[11] Criminisi, A., Sharp, T., Blake, A., 2008. GeoS: Geodesic Image Segmentation. In ECCV 2008, eds D. Forsyth, P. Torr, and A. Zisserman, Part I, LNCS 5302, pp. 99–112, Springer-Verlag Berlin Heidelberg.
[12] Jirik, M., Ryba, T., Svobodova, M., Mira, H., Liska, V., 2014. Lisa – Liver surgery analyser software development. In Proceedings of WCCM XI-ECCM V-ECFD VI. Barcelona.
[13] Lisa GitHub, 2012. Available from: . (9 November 2014).
[14] Boykov, Y., Funka-Lea, G., 2006. Graph cuts and efficient N-D image segmentation. In International Journal of Computer Vision, Vol. 70, No. 2, pp 109–131. Kluwer Academic Publishers. DOI: 10.1007/s11263- 006-7934-5.
[15] Introduction – SlicerWeb, 2014. Available from: . (9 November 2014).
[16] LicenseText – SlicerWeb, 2005. Available from: . (9 November 2014).
[17] Ghosh, P., Antani, S. K., Long, L. R., Thoma, G. R., 2011. Unsupervised grow-cut: Cellular automata-based medical image segmentation. In Healthcare Informatics, Imaging and Systems Biology, pp 40-47. IEEE. DOI: 10.1109/HISB.2011.44.
[18] About OsiriX, 2014. Available from: . (9 November 2014).
[19] License - license.pdf, 2007. Available from: . (9 November 2014).
[20] DICOM files, 2014. Available from: . (9 November 2014).