Open Science Research Excellence

Open Science Index

Commenced in January 2007 Frequency: Monthly Edition: International Publications Count: 29284

Select areas to restrict search in scientific publication database:
Automated Stereophotogrammetry Data Cleansing
The stereophotogrammetry modality is gaining more widespread use in the clinical setting. Registration and visualization of this data, in conjunction with conventional 3D volumetric image modalities, provides virtual human data with textured soft tissue and internal anatomical and structural information. In this investigation computed tomography (CT) and stereophotogrammetry data is acquired from 4 anatomical phantoms and registered using the trimmed iterative closest point (TrICP) algorithm. This paper fully addresses the issue of imaging artifacts around the stereophotogrammetry surface edge using the registered CT data as a reference. Several iterative algorithms are implemented to automatically identify and remove stereophotogrammetry surface edge outliers, improving the overall visualization of the combined stereophotogrammetry and CT data. This paper shows that outliers at the surface edge of stereophotogrammetry data can be successfully removed automatically.
Digital Object Identifier (DOI):


[1] J. K. Iglehart, "The new era of medical imaging progress and pitfalls," New England Journal of Medicine, vol. 354, no. 26, pp. 2822-2828, 2006.
[2] C. Studholme, D. L. Hill, and D. J. Hawkes, "Automated 3-D registration of MR and CT images of the head.," Medical image analysis, vol. 1, no. 2, pp. 163-75, Jun. 1996.
[3] Winder RJ, Darvan T, McKnight W, Magee J, Ramsay-Baggs P. Technical validation of the Di3D stereophotogrammetry surface imaging system. British Journal of Oral and Maxillofacial Surgery 2008, 46, 33- 37.
[4] S. K. Williams, L. a Ellis, and G. Williams, "A 3D digital medical photography system in paediatric medicine." Journal of visual communication in medicine, vol. 31, no. 3, pp. 91-8, Jan. 2008.
[5] T. J. J. Maal, J. M. Plooij, F. a Rangel, W. Mollemans, F. a C. Schutyser, and S. J. Bergé, "The accuracy of matching three-dimensional photographs with skin surfaces derived from cone-beam computed tomography.," International journal of oral and maxillofacial surgery, vol. 37, no. 7, pp. 641-6, Jul. 2008.
[6] R. Dirnhofer, C. Jackowski, P. Vock, K. Potter, and M. J. Thali, "VIRTOPSY: minimally invasive, imaging-guided virtual autopsy.," Radiographics: a review publication of the Radiological Society of North America, Inc, vol. 26, no. 5, pp. 1305-33, 2006.
[7] J. M. Riphagen, J. W. van Neck, and L. N. a van Adrichem, "3D surface imaging in medicine: a review of working principles and implications for imaging the unsedated child.," The Journal of craniofacial surgery, vol. 19, no. 2, pp. 517-24, Mar. 2008.
[8] J. P. Siebert and S. J. Marshall, "Human body 3D imaging by speckle texture projection photogrammetry," Sensor Review, vol. 20, no. 3, pp. 218-226, 2000.
[9] W. E. Lorensen and H. E. Cline, "Marching cubes: A high resolution 3D surface construction algorithm," in Proceedings of the 14th annual conference on Computer graphics and interactive techniques, 1987, pp. 163-169.
[10] R. A. Robb, "The biomedical imaging resource at Mayo Clinic," IEEE Transactions on Medical Imaging, vol. 20, no. 9, pp. 854-867, 2001.
[11] J. Murray and W. Van Ryper, "Wavefront OBJ File Format Summary," 2005. (Online). Available: (Accessed: 01-Jun-2012).
[12] P. Cignoni, M. Callieri, M. Corsini, F. Ganovelli, and G. Ranzuglia, "Meshlab Visual Computing Lab - ISTI - CNR," 2010. (Online). Available:
[13] D. Chetverikov, D. Svirko, D. Stepanov, and P. Krsek, "The trimmed iterative closest point algorithm," in International Conference on Pattern Recognition, 2002, vol. 16, pp. 545-548.
[14] S. Henry, P. Morrow, J. Winder, and B. Scotney, "ICP Variants Robustness to Gaussian and Impulsive Noise," in 16th Conference on Medical Image Understanding and Analysis, 2012, pp. 1-6.
[15] N. Otsu, "A threshold selection method from gray-level histograms," IEEE Transactions on Systems, Man and Cybernetics, vol. 20, no. 1, pp. 62-66, 1979.
[16] R. C. Gonzalez and R. E. Woods, "Digital image processing," in Digital image processing, 3rd ed., Prentice Hall, 2008, pp. 742-747.
Vol:13 No:02 2019Vol:13 No:01 2019
Vol:12 No:12 2018Vol:12 No:11 2018Vol:12 No:10 2018Vol:12 No:09 2018Vol:12 No:08 2018Vol:12 No:07 2018Vol:12 No:06 2018Vol:12 No:05 2018Vol:12 No:04 2018Vol:12 No:03 2018Vol:12 No:02 2018Vol:12 No:01 2018
Vol:11 No:12 2017Vol:11 No:11 2017Vol:11 No:10 2017Vol:11 No:09 2017Vol:11 No:08 2017Vol:11 No:07 2017Vol:11 No:06 2017Vol:11 No:05 2017Vol:11 No:04 2017Vol:11 No:03 2017Vol:11 No:02 2017Vol:11 No:01 2017
Vol:10 No:12 2016Vol:10 No:11 2016Vol:10 No:10 2016Vol:10 No:09 2016Vol:10 No:08 2016Vol:10 No:07 2016Vol:10 No:06 2016Vol:10 No:05 2016Vol:10 No:04 2016Vol:10 No:03 2016Vol:10 No:02 2016Vol:10 No:01 2016
Vol:9 No:12 2015Vol:9 No:11 2015Vol:9 No:10 2015Vol:9 No:09 2015Vol:9 No:08 2015Vol:9 No:07 2015Vol:9 No:06 2015Vol:9 No:05 2015Vol:9 No:04 2015Vol:9 No:03 2015Vol:9 No:02 2015Vol:9 No:01 2015
Vol:8 No:12 2014Vol:8 No:11 2014Vol:8 No:10 2014Vol:8 No:09 2014Vol:8 No:08 2014Vol:8 No:07 2014Vol:8 No:06 2014Vol:8 No:05 2014Vol:8 No:04 2014Vol:8 No:03 2014Vol:8 No:02 2014Vol:8 No:01 2014
Vol:7 No:12 2013Vol:7 No:11 2013Vol:7 No:10 2013Vol:7 No:09 2013Vol:7 No:08 2013Vol:7 No:07 2013Vol:7 No:06 2013Vol:7 No:05 2013Vol:7 No:04 2013Vol:7 No:03 2013Vol:7 No:02 2013Vol:7 No:01 2013
Vol:6 No:12 2012Vol:6 No:11 2012Vol:6 No:10 2012Vol:6 No:09 2012Vol:6 No:08 2012Vol:6 No:07 2012Vol:6 No:06 2012Vol:6 No:05 2012Vol:6 No:04 2012Vol:6 No:03 2012Vol:6 No:02 2012Vol:6 No:01 2012
Vol:5 No:12 2011Vol:5 No:11 2011Vol:5 No:10 2011Vol:5 No:09 2011Vol:5 No:08 2011Vol:5 No:07 2011Vol:5 No:06 2011Vol:5 No:05 2011Vol:5 No:04 2011Vol:5 No:03 2011Vol:5 No:02 2011Vol:5 No:01 2011
Vol:4 No:12 2010Vol:4 No:11 2010Vol:4 No:10 2010Vol:4 No:09 2010Vol:4 No:08 2010Vol:4 No:07 2010Vol:4 No:06 2010Vol:4 No:05 2010Vol:4 No:04 2010Vol:4 No:03 2010Vol:4 No:02 2010Vol:4 No:01 2010
Vol:3 No:12 2009Vol:3 No:11 2009Vol:3 No:10 2009Vol:3 No:09 2009Vol:3 No:08 2009Vol:3 No:07 2009Vol:3 No:06 2009Vol:3 No:05 2009Vol:3 No:04 2009Vol:3 No:03 2009Vol:3 No:02 2009Vol:3 No:01 2009
Vol:2 No:12 2008Vol:2 No:11 2008Vol:2 No:10 2008Vol:2 No:09 2008Vol:2 No:08 2008Vol:2 No:07 2008Vol:2 No:06 2008Vol:2 No:05 2008Vol:2 No:04 2008Vol:2 No:03 2008Vol:2 No:02 2008Vol:2 No:01 2008
Vol:1 No:12 2007Vol:1 No:11 2007Vol:1 No:10 2007Vol:1 No:09 2007Vol:1 No:08 2007Vol:1 No:07 2007Vol:1 No:06 2007Vol:1 No:05 2007Vol:1 No:04 2007Vol:1 No:03 2007Vol:1 No:02 2007Vol:1 No:01 2007