Open Access Open Access  Restricted Access Subscription Access

Brain Image Analysis: The RAVENS way

Rama Krishna K

Abstract


This paper presents brain image analysis of magnetic resonance images (MRIs) to detect the defected regions (atrophy) in the brain via Hammer image registration methodology. To start with, MR brain images can be registered via HAMMER (Hierarchical Attribute Matching Mechanism for Elastic Registration) methodology. The registered images are then used to create RAVENS (regional analysis of volumes examined in normalized space) maps. Finally, RAVENS maps hold the volumes of various tissues both at the interior and at the globalized level. Ravens maps for of brain tissues namely GM (Grey Matter), WM (White Matter) and CSF (cerebrospinal fluid) are investigated by using statistical parametric mapping tool (SPM) using MATLAB platform. The proposed strategy precisely identified the atrophy regions in brain scan. The identified atrophy regions are useful for further investigation to diagnose the brain related disorders diseases.


Full Text:

PDF

References


B. Zitova, J. Flusser, Image Registration Methods: A Survey, Image and Vision Computing, vol 21, pg. 977–1000, 2003.

J. B. A. Maintz and M. A. Viergever, "A survey of medical image registration," Medical Image Analysis,

(1), pp. 1-36, 1998.

L.G. Brown, A Survey of Image Registration Techniques, ACM Computing Surveys, Vol 24, pg 326–376,1992.

D. Shen and C. Davatzikos. HAMMER: Hierarchical attribute matching Mechanism for elastic registration IEEE Transactions on Medical Imaging vol. 21, pp. 1421-1439, 2002.

A.F. Goldszal, C. Davatzikos, D.L. Pham, M.X.H. Yan, R.N. Bryan, S.M. Resnick. “An image-processing system for qualitative and quantitative volumetric analysis of brain images”. Journal of Computer Assisted Tomography, 22 (5): 827-837, 1998.

D. Shen and H.H.S. Ip. “Generalized affine invariant image normalization”. IEEE Trans. on Pattern Analysis and Machine Intelligence, 19(5):431-440, 1997.

C. Davatzikos, A. Genc, D. Xu, and S. M. Resnick. Voxel-Based Morphometry Using the RAVENS Maps: Methods and Validation Using Simulated Longitudinal Atrophy NeuroImage, vol. 14, pp. 1361-1369, 2001.

D. G. Shen and C. Davatzikos Very high resolution morphometry using mass-preserving deformations and HAMMER elastic registration,

NeuroImage, vol. 18, pp. 28-41, 2003.

Ashburner, J. and Friston, K.J., "Voxel-based morphometry: the methods," NeuroImage, vol.11, pp.805-821, 2000.


Refbacks

  • There are currently no refbacks.