Abstract
Many methods exist for the automatic extraction of the midsagittal plane from neuroimages, assuming bilateral symmetry. However, this assumption is incorrect owing to brain torque and the possible presence of pathology. In this paper, a method for extracting the curved midsagittal surface from brain images is presented.
First, the method localizes the interhemispheric fissure with an existing technique for midsagittal plane extraction. Next, the plane is modelled as a bicubic spline and the configuration of the control points is optimized to obtain the midsagittal surface.
The midsagittal surface results in a better segmentation of the cerebral hemispheres. Not only is the result visually more appealing, the absolute volume of misclassified tissue decreases significantly.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Crow, T.: Schizophrenia as an anomaly of cerebral asymmetriy. In: Imaging of the Brain in Psychiatry and Related Fields, pp. 1–17 (1993)
Simons, P., Algra, A., van de Laak, M., Grobbee, D., van der Graaf, Y.: Second manifestations of arterial disease (smart) study: Rationale and design. European Journal of Epidemiology 15, 773–781 (1999)
Junck, L., Moen, J.G., Hutchins, G.D., Brown, M.B., Kuhl, D.E.: Correlation methods for the centering, rotation, and alignment of functional brain images. Journal of Nuclear Medicine 31(7), 1220–1226 (1990)
Minoshima, S., Berger, K.L., Lee, K.S., Mintun, M.A.: An automated method for rotational correction and centering of three-dimensional functional brain images. Journal of Nuclear Medicine 33(8), 1579–1585 (1992)
Ardekani, B.A., Kershaw, J., Braun, M., Kanno, I.: Automatic detection of the mid-sagittal plane in 3-d brain images. IEEE Transactions on Medical Imaging 16(6), 947–952 (1997)
Smith, S., Jenkinson, M.: Accurate Robust Symmetry Estimation. In: Taylor, C., Colchester, A. (eds.) MICCAI 1999. LNCS, vol. 1679, pp. 308–317. Springer, Heidelberg (1999)
Liu, Y., Collins, R., Rothfus, W.E.: Robust midsagittal plane extraction from normal and pathological 3d neuroradiology images. IEEE Transactions on Medical Imaging 20(1), 175–192 (2001)
Prima, S., Ourselin, S., Ayache, N.: Computation of the mid-sagittal plane in 3-d brain images. IEEE Transactions on Medical Imaging 21(2), 122–138 (2002)
Hu, Q., Nowinski, W.L.: A rapid algorithm for robust and automatic extraction of the midsagittal plane of the human cerebrum from neuroimages based on local symmetry and outlier removal. NeuroImage 20(4), 2153–2165 (2003)
Tuzikov, A.V., Colliot, O., Bloch, I.: Evaluation of the symmetry plane in 3d mr brain images. Pattern Recognition Letters 24(14), 2219–2233 (2003)
Brummer, M.E.: Hough transform detection of the longitudinal fissure in tomographic head images. IEEE Transactions on Medical Imaging 10(1), 74–81 (1991)
Volkau, I., Prakash, K.B., Ananthasubramaniam, A., Aziz, A., Nowinski, W.L.: Extraction of the midsagittal plane from morphological neuroimages using the kullback-leibler’s measure. Medical Image Analysis 10(6), 863–874 (2006)
Nowinski, W.L., Prakash, B., Volkau, I., Ananthasubramaniam, A., Beauchamp Jr, N.J.: Rapid and automatic calculation of the midsagittal plane in magnetic resonance diffusion and perfusion images. Academic Radiology 13(5), 652–663 (2006)
Bochkanov, S., Bystritsky, V.: Alglib, www.alglib.net
King, D.E.: Dlib c++ library, www.dlib.net
Liang, L., Rehm, K., Woods, R.P., Rottenberg, D.A.: Automatic segmentation of left and right cerebral hemispheres from mri brain volumes using the graph cuts algorithm. NeuroImage 34(3), 1160–1170 (2007)
Anbeek, P., Vincken, K.L., van Bochove, G.S., van Osch, M.J., van der Grond, J.: Probabilistic segmentation of brain tissue in mr imaging. NeuroImage 27(4), 795–804 (2005)
Fonov, V., Evans, A., McKinstry, R., Almli, C., Collins, D.: Unbiased nonlinear average age-appropriate brain templates from birth to adulthood. NeuroImage 47(suppl.1) (2009); S102 Organization for Human Brain Mapping 2009 Annual Meeting.
Fonov, V., Evans, A.C., Botteron, K., Almli, C.R., McKinstry, R.C., Collins, D.L.: Unbiased average age-appropriate atlases for pediatric studies. NeuroImage 54(1), 313–327 (2011)
Klein, S., Staring, M., Murphy, K., Viergever, M., Pluim, J.: elastix: A toolbox for intensity-based medical image registration. IEEE Transactions on Medical Imaging 29(1), 196–205 (2010)
van der Lijn, F., de Bruijne, M., Hoogendam, Y., Klein, S., Hameeteman, R., Breteler, M., Niessen, W.: Cerebellum segmentation in mri using atlas registration and local multi-scale image descriptors. In: IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009, pp. 221–224 (2009)
Puspitasari, F., Volkau, I., Ambrosius, W., Nowinski, W.: Robust calculation of the midsagittal plane in ct scans using the kullbackleibler measure. International Journal of Computer Assisted Radiology and Surgery 4, 535–547 (2009)
Liao, C.C., Xiao, F., Wong, J.M., Chiang, I.J.: Automatic recognition of midline shift on brain ct images. Computers in Biology and Medicine 40(3), 331–339 (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kuijf, H.J., Viergever, M.A., Vincken, K.L. (2013). Automatic Extraction of the Curved Midsagittal Brain Surface on MR Images. In: Menze, B.H., Langs, G., Lu, L., Montillo, A., Tu, Z., Criminisi, A. (eds) Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging. MCV 2012. Lecture Notes in Computer Science, vol 7766. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36620-8_22
Download citation
DOI: https://doi.org/10.1007/978-3-642-36620-8_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36619-2
Online ISBN: 978-3-642-36620-8
eBook Packages: Computer ScienceComputer Science (R0)