NDLI: A systematic algorithm for 3-D reconstruction of MRI based brain tumors using morphological operators and bicubic interpolation

Content Provider	IEEE Xplore Digital Library
Author	Amruta, A. Gole, A. Karunakar, Y.
Copyright Year	2010
Description	Author affiliation: Ramnarain Ruia College, University of Mumbai, India (Amruta, A.; Gole, A.) \|\| University of Mumbai, India (Karunakar, Y.)
Abstract	This paper presents a method for 3D image reconstruction, which is one of the most attractive avenues in digital image processing techniques, especially due to its application in biomedical imaging. The diversity and complexity of tumor cells makes it very challenging to visualize tumor present in magnetic resonance image (MRI) data. This paper involves implementing various steps of extracting the tumor from the 2D slices of MRI brain images by OTSUs threshold technique and various morphological operations and designing software for reconstructing 3D image from a set of 2D tumor images. Extensive use of custom made user interface that provides for ease of user interaction and visualization of reconstructed data. The volume of the tumor is also estimated based on the computation of these images. Doctors and Radiologists can now prepare and image thousands of samples and save on time per day using this automation.
Starting Page	305
Ending Page	309
File Size	1041913
Page Count	5
File Format	PDF
ISBN	9781424488445
e-ISBN	9781424488452
DOI	10.1109/ICCTD.2010.5645867
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-02
Publisher Place	Egypt
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Atomic measurements 3-D image reconstruction Automation Magnetic resonance imaging Computed tomography OTSUs threshold MRI images Tumors Biomedical imaging Morphological operations
Content Type	Text
Resource Type	Article

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