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Detection of Hydrocephalus Lateral Ventricles Quantitatively in Brain MRI images of Infants
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 83 - Number 9 |
| Year of Publication: 2013 |
| Authors: S. Javeed Hussain, T. Satya Savitri, P. V. Sree Devi |
10.5120/14475-2698
|
S. Javeed Hussain, T. Satya Savitri, P. V. Sree Devi . Detection of Hydrocephalus Lateral Ventricles Quantitatively in Brain MRI images of Infants. International Journal of Computer Applications. 83, 9 ( December 2013), 12-15. DOI=10.5120/14475-2698
Abstract
In this paper, a new clustering method is applied to segmentation and volume change assessment in lateral ventricles affected by hydrocephalus pathology in the infants. The hydrocephalus is characterized as such, which results from excessive accumulation of cerebrospinal fluid in the ventricles, leading to enlargement of cerebral ventricles. The complex shape o the ventricular system is evaluated by a visual assessment of MRI scans, but still there is necessity to note the amount of change in volume. We present a algorithm with adjustable feature weight with Optimal feature selection using validity function. The algorithm is called Optomal feature Weight adjustable FCM with Gaussian smoothing (OfwaFCM). There was need to develop new algorithm for segmenting non-symmetric images. The objective of this algorithm is to produce fine clustering results and to reduce effect of noise. In this method, clustering centroids and functions are used to evaluate the clustering results and validity fuction based on fuzzy partitioning is used to select Optimal Feature Weights. The results produced states that the proposed scheme provides Volume calculation and clustering performances for Detecting and segmenting the hydrocephalus.
References
- Rekate, H. L. A consensus on the classification of hydrocephalus: its utility in the assessment of abnormalities of cerebrospinal fluid dynamics, child's nervous system 2011;27(10):1535_1541.
- Matsumae, M. ,Kikinis , R. , Morecz, I. horenzo, A. v. ,Albert, M. S. ,Black, P. M. ,et al. Intracranical compartment volumes in patients with enlarged ventricle assessed by magnetic resonance-based image processing. Journal of Neurosurgery 1996;84(6):972-981.
- A. H. Mesiwala, A. M. Avellino, and R. G. Ellenbogen," the diagonal ventricular dimension: a method for predicting suunt malfunction on the basis of changes in ventricular size,"Neurosurgery,Vol. 50, no. 6,pp. 1246-1252,2002.
- B. B. O'Hayon, J. M. Drake, M. G. Ossip, S. Tule, and M. clarke, "frontal and occipital horn ratio: a linear estimate of ventricular size for multiple imaging modalities in pediatric hydrocephalus," pediatric Neuro surgery, vol. 29,no. 5,pp. 245-249,1998.
- V. Synek and J. R. ruben," the ventricular brain ratio using plainmetric measurement of EMI scans," British journal of Radiology,vol. 49,no. 579,pp. 233-237,1976.
- J. Evans, the verification of computer algorithm designed to calculate the volume of the human cerebral ventricles based on CT images, B. S. Thesis, Dalhousie university, Halifas, Canada,2005.
- M. s. Huckman ,J. Fox and J. Topel," the validity of criteria for the evaluation of cerebral atrophy by computed tomography", radiology, vol. 116,no. 1,pp. 85_92,1995.
- J. H. Fox, L. T. Jordan and M. S. Huckman," use of computed tomography in senile dementia", Journal of neurology Neurosurgery and psychiatry, vol. 38,no. 10. 948-953,1975.
- B. S. Brann iv, C. Qualls, L. Wells and L. A. papile," A symmetric growth of the lateral cerebral ventricle in infants with posthemorrhagic ventricular dilation," Journal of pediatrics,vol. 118,no. 1,pp. 108-112,1991.
- R. w. Sze, V. Ghioni, E. Weinberger, K. D. Seidel, and R. Ellenbogen, "Rapid computed tomography techniques to measure ventricular volumes in the child with suspected ventriculoperitoneal stunt failure: validation of technique with a dynamic phantom", Journal of Computer Assistanced tomography,vol. 27,no. 5. 663-667,2003.
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