Title :
3D Volume Representation of brain tumor using image processing
Author :
Siddiqi, Ayesha Amir ; Khawaja, Attaullah ; Tariq, Mashal
Author_Institution :
Dept. of Electron., N.E.D. Univ. of Eng. & Technol., Karachi, Pakistan
Abstract :
This research opens a new window in the field of image processing by 3D Volume Representation of tumor through the use of Magnetic Resonant Imaging and an integrated software tool called 3D Slicer. The technique used for the piece of work is Label map segmentation and surface model making. It is used to segment the brain tumor from 2D images and then converting it into 3D for further model analysis and volume calculation. It is suggested after testing and observing various available methods and algorithms. The proposed method shows more precision among the others. Processing time is less. This will help the physicians in analyzing the brain tumors accurately and efficiently.
Keywords :
biomedical MRI; brain; image representation; image segmentation; medical image processing; stereo image processing; tumours; 3D Slicer; 3D volume representation; brain tumor analysis; image processing; integrated software tool; label map segmentation; magnetic resonant imaging; model analysis; surface model making; volume calculation; Brain modeling; Image segmentation; Load modeling; Solid modeling; Solids; Three dimensional displays; Tumors; image processing; segment; surface model making; volume representation;
Conference_Titel :
Signal and Image Processing Applications (ICSIPA), 2011 IEEE International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4577-0243-3
DOI :
10.1109/ICSIPA.2011.6144062