NDLI: Segmentation of diploë in a T1 weighted 3D MR image of human head

Content Provider	IEEE Xplore Digital Library
Author	Ahmad, S. Azam, A. Agha, M. Maqbool, N. Rashdi, A. Khan, M.F.
Copyright Year	2011
Description	Author affiliation: National University of Sciences and Technology, Military College of Signals, Rawalpindi, Pakistan (Ahmad, S.; Azam, A.; Agha, M.; Maqbool, N.; Rashdi, A.; Khan, M.F.)
Abstract	This paper presents the method to automatically segment the diploë in a T1 weighted three dimensional magnetic resonance image of human head. The method performs segmentation using a series of mathematical operations. A sphere is generated for interpolation of manually marked control points. The inner and outer boundaries of diploë are determined using thresholding and the deviated points are corrected via smoothing algorithm. As manual segmentation takes 6–8 hrs, this automatic tool will speed up the procedure manifolds and bring the segmentation time to 20 minutes. The results of automatic segmentation of ten different MR scans were compared against manual segmentation using different similarity measures. Dice coefficients' values range between 97 percent to 99 percent and sensitivity and positive predictive values are more than 99 percent which shows very good segmentation.
Starting Page	486
Ending Page	490
File Size	434475
Page Count	5
File Format	PDF
ISBN	9781424493517
e-ISBN	9781424493524
DOI	10.1109/BMEI.2011.6098262
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Interpolation Sensitivity Magnetic resonance imaging Manuals Three dimensional displays Surface roughness
Content Type	Text
Resource Type	Article

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