An Integrated Approach of SOM Segmentation and Multi-wavelet for Classification of Brain-Stem |
Author(s): |
| Lalima Sinha , SSGI; Sampda Satav Mashey, SSGI |
Keywords: |
| PD, SN, SOM, MRI, SOPCA |
Abstract |
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MRI-based medical image investigation for brain stem studies is ahead attention in topical times due to an amplified need for proficient and objective valuation of large amounts of data. While the original approaches applying mechanized methods for the analysis of brain stem images date back approximately two decades, the modern methods became proficient and coming nearer to routine clinical purpose. Early diagnosis of Parkinson's disease (PD) is of massive significance, since clinical symptoms do not happen until substantial portion of the Substantia Nigra (SN) neurons in the brain stem have been irreparably spoiled. In this paper we have proposed an approach which is integration of Multiwavlet based image preprocessing and SOM based image classification that will significantly increase the accuracy which help to diagnose SN in brain-stem. |
Other Details |
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Paper ID: IJSRDV3I30390 Published in: Volume : 3, Issue : 3 Publication Date: 01/06/2015 Page(s): 939-942 |
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