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Feature-Based Registration of Thorax CT Scan Slices
Volume 28, Issue 3 (2017), pp. 439–452
Mykolas J. Bilinskas   Gintautas Dzemyda   Mantas Trakymas  

Authors

 
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https://doi.org/10.15388/Informatica.2017.137
Pub. online: 1 January 2017      Type: Research Article      Open accessOpen Access

Received
1 December 2016
Accepted
1 August 2017
Published
1 January 2017

Abstract

Radiologists need to find a position of a slice of one computed tomography (CT) scan in another scan. The image registration is a technique used to transform several images into one coordinate system and to compare them. Such transversal plane images obtained by CT scans are considered, where ribs are visible, but it does not lessen the significance of our work because many important internal organs are located here: liver, heart, stomach, pancreas, lungs, etc. The new method is developed for registration based on the mathematical model describing the rib-bounded contour. Parameters of the mathematical model and of distribution of the bone tissue on the CT scan slice form a set of features describing a particular slice. The registration method applies translation, rotation, and scaling invariances. Several strategies of translation invariance and options of the unification of scales are proposed. The method is examined on real CT scans seeking for its best performance.

References

 
Banik, S., Rangayyan, R.M., Boag, G.S. (2010). Automatic segmentation of the ribs, the vertebral column, and the spinal canal in pediatric computed tomographic images. Journal of Digital Imaging, 23, 301–322.
 
Bilinskas, M.J., Dzemyda, G., Trakymas, M. (2015). Computed Tomography Image Analysis: The Model of Ribs-Bounded Contour. Plzen, Vaclav Skala – UNION Agency, pp. 81–84.
 
Bilinskas, M.J., Dzemyda, G., Trakymas, M. (2017). Approximation of the ribs-bounded contour in a tomography scan slice. International Journal of Information Technology & Decision Making. https://doi.org/10.1142/S0219622017500298. In press.
 
Bouguet, J.-Y. (2000). Pyramidal Implementation of the Lucas Kanade Feature Tracker. Intel Corporation, Microprocessor Research Labs.
 
Burt, P.J. (1981). Fast filter transform for image processing. Computer Graphics and Image Processing, 16(1), 20–51.
 
Emrich, T., Graf, F., Kriegel, H.-P., Cavallaro, A. (2010). CT Slice Localization via Instance-Based Regression. SPIE Press, San Diego, pp. 762320–762332.
 
Fernández, Á., Rabin, N., Coifman, R.R., Eckstein, J. (2014). Diffusion methods for aligning medical datasets: location prediction in CT scan images. Medical Image Analysis, 18, 425–432.
 
Feulner, J., Zhou K, S., Seifert, S., Cavallaro, A., Hornegger, J., Comaniciu, D. et al. (2009). Estimating the Body Portion of CT Volumes by Matching Histograms of Visual Words. SPIE Press, Lake Buena Vista, pp. 72591V–72591V-8.
 
Fischler, M.A., Bolles, R.C. (1981). Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Communications of the ACM, 24, 381–395.
 
Graf, Kriegel H.-P, F., Schubert, M., Pölsterl, S., Cavallaro, A. (2011). 2D Image Registration in CT Images Using Radial Image Descriptors. Springer, Berlin, Heidelberg, pp. 607–614.
 
Güld, M.O., Kohnen, M., Keysers, D., Schubert, H., Wein, B.B., Bredno, J. (2002). Quality of DICOM header Information for Image Categorization. SPIE Press, San Diego, pp. 280–287.
 
Holcombe, S.A., Wang, S.C., Grotberg, J.B. (2016). Modeling female and male rib geometry with logarithmic spirals. Journal of Biomechanics, 49, 2995–3003.
 
Kass, M., Witkin, A., Terzopoulos, D. (1988). Snakes: active contour models. International Journal of Computer Vision, 1, 321–331.
 
Kindig, M.W., Kent, R.W. (2013). Characterization of the centroidal geometry of human ribs. Journal of Biomechanical Engineering, 135, 111007–111007–111007–9.
 
Li, H., Manjunath, B.S., Mitra, S.K. (1995). A contour-based approach to multisensor image registration. IEEE Transactions on Image Processing, 4, 320–334.
 
Oliveira, F.P.M., Tavares, J.M.R.S. (2012). Registration of plantar pressure images. International Journal for Numerical Methods in Biomedical Engineering, 28, 589–603.
 
Shi, J., Sahiner, B., Chan, H.-P., Hadjiiski, L., Zhou, C., Cascade, P.N., Bogot, N., Kazerooni, E.A., Wu, Y.-T., Wei, J. (2007). Pulmonary nodule registration in serial CT scans based on rib anatomy and nodule template matching. Medical Physics, 34, 1336–1347.
 
Szeliski, R. (2006). Image alignment and stitching: a tutorial. Foundations and Trends in Computer Graphics and Vision, 2, 1–104.
 
Treigys, P., Šaltenis, V., Dzemyda, G., Barzdžiukas, V., Paunksnis, A. (2008). Automated optic nerve disc parameterization. Informatica, 19, 403–420.
 
Zhang, L., Li, X., Hu, Q. (2012). Automatic Rib Segmentation in Chest CT Volume Data. IEEE Computer Society, Macau, pp. 750–753.

Biographies

Bilinskas Mykolas J.
mykolas.bilinskas@mii.vu.lt

M.J. Bilinskas received BA in software engineering in 2011 and MS in computer modelling in 2013 from Vilnius University Faculty of Mathematics and Informatics. He got experience in software development in CERN (European Organization for Nuclear Research) in Switzerland and in the Joint Stock Company Altechna. Currently he is a PhD student in the Vilnius University Institute of Mathematics and Informatics. His interests include computer vision and computational geometry.

Dzemyda Gintautas
gintautas.dzemyda@mii.vu.lt

G. Dzemyda received the doctoral degree in technical sciences (PhD) in 1984, and he received the degree of Doctor Habilius in 1997 from the Kaunas University of Technology. He was conferred the title of Professor (1998) at the Kaunas University of Technology. Full member of the Lithuanian Academy of Sciences (2011). Recent employment is at the Vilnius University Institute of Mathematics and Informatics as the director of the Institute, a head of Cognitive Computing Group and principal researcher.

The research interests cover visualization of multidimensional data, optimization theory and applications, data mining in databases, multiple criteria decision support, neural networks, parallel optimization, image analysis. The author of more than 240 scientific publications, two monographs, five textbooks. Editor in chief of the international journals Informatica and Baltic Journal of Modern Computing. Member of editorial boards of seven international journals.

Trakymas Mantas

M. Trakymas received MD in 1998 and PhD in 2008 from Vilnius University Faculty of Medicine. He works as interventional oncologist and oncoradiologist in Department of Radiology, Center of Radiology, Nuclear Medicine and Outpatient Department, National Cancer Institute, Lithuania since 2001. His interests are interventional oncology, tumour ablation, guiding systems, ultrasound, liver, kidney, and breast cancer.


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Keywords
image registration computed tomography thorax bone tissue feature-based registration image parameterization

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