Abstract
We present an automated procedure that can identify the contours of the brain from single-echo 3-D magnetic resonance (MR) images of the head. A first approximation to the desired contours is obtained by combining anatomical and MR imaging characteristics of the brain. A priori knowledge about the brain and its surrounding structures is then used to refine the original contours. This procedure has been successfully applied to various data sets from control patients, and a number of potential clinical applications are currently being considered.
Sponsored by the Mexican National Research Council (CONACYT)
Chapter PDF
References
Kapouleas I, Segmentation and Feature Extraction for Magnetic Resonance Brain Image Analysis, Proc. of 10th Intl. Conf. on Pattern Recognition, Atlantic City, 1:583, 1990.
Raya S, Low-level Segmentation of 3-D Magnetic Resonance Brain Images—A Rule-Based System, IEEE Transactions on Medical Imaging 9:3, 1990.
Ehricke H, Problems and Approaches for Tissue Segmentation in 3D-MR Imaging, Proc. SPIE Med. Imaging IV, 1233:128, 1990.
Katz W, et al., Segmentation of the Brain from 3-D Magnetic Resonance Images of the Head, Proc. of 14th Annual Inter. Conf. of the IEEE EMBS, Paris, 1992.
Brummer M Eet al., Automatic Detection of Brain Contours in MRI Data Sets, IEEE Transactions on Medical Imaging 12:153, 1993.
Zijdenbos A Pet al., Automatic Extraction of the Intracranial Cavity on Transvers MR Brain Images, Proc. 11th Intl. Conf. on Pattern Recognition, The Hague, 3:430, 1992.
Bello F and Kitney R I, The Use of Regional Features to Segment Brain MRI, Proc. IFMBE World Congress on Medical Physics and Biomedical Engineering, Rio de Janeiro, 1994.
Marr D and Hildreth E C, Theory of Edge Detection, Proc. Royal Soc. London 207:187, 1980.
Huertas A and Medioni G, Detection of Intensity Changes with Subpixel Accuracy Using Laplacian—Gaussian Masks, IEEE Transactions on Pattern Analysis and Machine Intelligence 8:651, 1986.
Sotak G E and Boyer K L, The Laplacian-of-Gaussian Kernel: A Formal Analysis and Design Procedure for Fast, Accurate Convolution and Full Frame Output, Comput. Vision, Graphics and Image Processing 48:147, 1989.
Press WHet al., Numerical Recipes in C, 2nd Ed., Cambridge University Press, Cambridge UK, 1991.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1995 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bello, F., Kitney, R.I. (1995). Automatic identification of brain contours in magnetic resonance images of the head. In: Braccini, C., DeFloriani, L., Vernazza, G. (eds) Image Analysis and Processing. ICIAP 1995. Lecture Notes in Computer Science, vol 974. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60298-4_265
Download citation
DOI: https://doi.org/10.1007/3-540-60298-4_265
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-60298-9
Online ISBN: 978-3-540-44787-0
eBook Packages: Springer Book Archive