Assessment of hydrocephalus in children based on digital image processing and analysis

Ambarki, K., Wahlin, A., Birgander, R., Eklund, A. and Malm, J., (2011). MR imaging of brain volumes: Evaluation of a fully automatic software, American Journal of Neuroradiology32(2): 408–41210.3174/ajnr.A2275Search in Google Scholar

Barkovich, A.J., (2005). Pediatric Neuroimaging, Lippincott Williams & Wilkins, New York, NY.Search in Google Scholar

Bosnjak, A., Montilla, G., Villegas, R. and Jara, I. (2007). 3D segmentation with an application of level set-method using MRI volumes for image guided surgery, Proceedings of the 29th Annual International Conference of the IEEE Engineering and Medicine in Biology Society, Osaka, Japan, pp. 5263–5266.Search in Google Scholar

Boykov, Y. and Jolly, M.P. (2001). Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images, Proceedings of the International Conference on Computer Vision, Vancouver, Canada, Vol. 1, pp. 105–112.Search in Google Scholar

Butman, J.A. and Linguraru, M.G. (2008). Assessment of ventricle volume from serial MRI scans in communicating hydrocephalus, Proceedings of the 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Paris, France, pp. 49–52.Search in Google Scholar

DICOM (n.d.). DICOM specification, http://medical.nema.org/dicom/2004.html.Search in Google Scholar

Frąckiewicz, M. and Palus, H. (2011). KHM clustering technique as a segmentation method for endoscopic colour images, International Journal of Applied Mathematics and Computer Science21(1): 203–209, DOI: 10.2478/v10006- 011-0015-0.Search in Google Scholar

Gonzalez, R.C. and Woods, R.E. (2007). Digital Image Processing, 3rd Edition, Prentice Hall, Englewood Cliffs, NJ.Search in Google Scholar

Gupta, V., Ambrosius, W., Qian, G., Blazejewska, A., Kazmierski, R., Urbanik, A. and Nowinski, W.L. (2010). Automatic segmentation of cerebrospinal fluid, white and gray matter in unenhanced computed tomography images, Academic Radiology17(11): 1350–1358.10.1016/j.acra.2010.06.005Search in Google Scholar

Halberstadt, W. and Douglas, T.S. (2005) Fuzzy clustering of CT images for the measurement of hydrocephalus associated with tuberculous meningitis, Proceedings of the Annual International Conference of the IEEE on Engineering in Medicine and Biology, Shanghai, China, pp. 4014–4016.Search in Google Scholar

Hamano, K., Iwasaki, N., Takeya, T. and Takita, H. (1993). A comparative study of linear measurements of the brain and three-dimensional measurement of brain volume using CT scans, Pediatric Radiology23(3): 165–168.10.1007/BF02013822Search in Google Scholar

Hiraoka, K., Yamasaki, H., Takagi, M., Saito, M., Nishio, Y., Iizuka, O., Kanno, S., Kikuchi, H., Kondo, T. and Mori, E. (2010). Changes in the volumes of the brain and cerebrospinal fluid spaces after shunt surgery in idiopathic normal-pressure hydrocephalus, Journal of the Neurological Sciences296(1): 7–12.10.1016/j.jns.2010.06.021Search in Google Scholar

Kanayama, S.A., Calderon, A.B., Makita, J.I.C., Ohara, Y.D., Tsunoda, A.D. and Sato, K.D. (1998). Evaluation of noninvasive cerebrospinal fluid volume measurement method with 3D-FASE MRI, Systems and Computers in Japan29(14): 41–49.10.1002/(SICI)1520-684X(199812)29:14<41::AID-SCJ5>3.0.CO;2-KSearch in Google Scholar

Kulczycki, P. and Charytanowicz, M. (2010). A complete gradient clustering algorithm formed with kernel estimators, International Journal of Applied Mathematics and Computer Science20(1): 123–134, DOI: 10.2478/v10006-010-0009- 3.Search in Google Scholar

Lie, W.-N., Peng, W.-H. and Chuung, C.-H. (2002). Efficient content-based CT brain image retrieval by using region shape features, Proceedings of the IEEE International Symposium on Circuits and Systems, Phoenix–Scottsdale, AZ, USA, Vol. 4, pp. 157–160.Search in Google Scholar

Luo, F., Evans, J.W., Linney, N.C., Schmidt, M.H. and Gregson, P.H. (2010). Wavelet-based image registration and segmentation framework for the quantitative evaluation of hydrocephalus, Journal of Biomedical Imaging (2010): 1–12, Article ID: 248393.10.1155/2010/248393Search in Google Scholar

O’Hayon, B.B., Drake, J.M., Ossip, M.G., Tuli, S. and Clarke, M. (1998). Frontal and occipital horn ratio: A linear estimate of ventricular size for multiple imaging modalities in pediatric hydrocephalus, Pediatric Neurosurgery29(5): 245–249.10.1159/000028730Search in Google Scholar

Pustkova, R., Kutalek, F., Penhaker, M. and Novak, V. (2010). Measurement and calculation of cerebrospinal fluid in proportion to the skull, Proceedings of the 9th RoEduNet IEEE International Conference, Sibiu, Romania, Vol. 8, pp. 95– 99.Search in Google Scholar

Ruttimann, U.E., Joyce, E.M., Rio, D.E. and Eckardt, M.J. (1993). Fully automated segmentation of cerebrospinal fluid in computed tomography, Psychiatry Research: Neuroimaging50(2): 101–119.10.1016/0925-4927(93)90015-ASearch in Google Scholar

Schnack, H.G., Hulshoff Pol, H.E., Baare, W.F.C., Viergever, M.A. and Kahn, R.S. (2001). Automatic segmentation of the ventricular system from MR images of the human brain, NeuroImage14(2): 95–104.10.1006/nimg.2001.0800Search in Google Scholar

Synek, V., Reuben, J.R. and Du Boulay, G.H. (1976). Comparing Evans index and computerized axial tomography in assessing relationship of ventricular size to brain size, Neurology26(3): 231–233.10.1212/WNL.26.3.231Search in Google Scholar

Węgliński, T. and Fabijańska, A. (2012). Min-cut/max-flow segmentation of hydrocephalus in children from CT datasets, Proceedings of the IEEE International Conference on Signals and Electronic Systems, Wrocław, Poland, pp. 1–6Search in Google Scholar

Węgliński, T. and Fabijańska, A. (2012) Survey over modern image segmentation algorithms on CT scans of hydrocephalic brains, Image Processing and Communications17(4): 223–230.10.2478/v10248-012-0050-ySearch in Google Scholar

Zang, X., Wang, Y., Yang, J. and Liu, Y. (2010) A novel method of CT brain images segmentation, Proceedings of the International Conference on Medical Image Analysis and Clinical Application, Wuhan, China, pp. 109–112.Search in Google Scholar