DocumentCode :
3379264
Title :
Optimization of visual presentation of MRI image for accurate detection of tumor in human brain using virtual instrument
Author :
Lakshmi, A.P. ; Samata, P.
Author_Institution :
VNRVignana Jyothi Inst. of Eng. & Tech., Hyderabad, India
fYear :
2012
fDate :
5-7 Dec. 2012
Firstpage :
1
Lastpage :
5
Abstract :
Brain tumor is the uncharacteristic growth of cells inside the brain or the skull that can either be cancerous (malign) or non-cancerous (benign) [1]. A very important aspect in clinical practice is the early detection and classification of brain tumors. The value of advanced imaging platforms such as magnetic resonance imaging (MRI) for early detection of tumor remains unclear. The paper applies Lab VIEW software for detecting and locating early stage brain tumors from MRI data. Here we designed a system which enhances the MRI data and gives the exact location and the area of the tumor required for the diagnostic and analysis of tumor easily. The estimation time required to perform the inspection is also obtained from the performance meter.
Keywords :
biomedical MRI; brain; cancer; image classification; medical image processing; optimisation; tumours; LabVIEW software; MRI image; brain tumors; cancer; human brain; image classification; magnetic resonance imaging; optimization; tumor detection; virtual instrument; visual presentation; Abstracts; Authentication; Magnetic resonance imaging; Manuals; Medical treatment; Software;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering International Conference (BMEiCON), 2012
Conference_Location :
Ubon Ratchathani
Print_ISBN :
978-1-4673-4890-4
Type :
conf
DOI :
10.1109/BMEiCon.2012.6465428
Filename :
6465428
Link To Document :
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