NDLI: An Algorithm of Extracting Intracranial Structures from Cerebral Computed Tomography

Content Provider	IEEE Xplore Digital Library
Author	HaiBo Wang Xueyao Li
Copyright Year	2008
Description	Author affiliation: Coll. of Comput. Sci. & Technol., Harbin Eng. Univ., Harbin (Xueyao Li) \|\| Center of Educ. Technol. & Inf., Mudanjiang Med. Univ., Mudanjiang (HaiBo Wang)
Abstract	A novel algorithm is proposed in this paper in terms of the existing extraction algorithms for intracranial structures on cerebral computed tomography (CT) lacking automation. The skull image from CT is characterized by great width and high gray-level, considering that, the proposed algorithm uses linear filtering to extract the outline of skull. and then mathematic morphology and horizontal scanning algorithm is employed for automatic segmentation of intracranial structures on cerebral CT. Experiment on 100 cases of cerebral CT demonstrates that the ratio of automatic segmentation reaches up to 99%, and the results are accurate and encouraging.
Starting Page	440
Ending Page	443
File Size	1083223
Page Count	4
File Format	PDF
ISBN	9780769533360
DOI	10.1109/CSSE.2008.1636
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Maximum likelihood detection Computed tomography Software algorithms image segmentation Morphology Filtering algorithms Skull Lesions Morphological operations Biomedical imaging cerebral computed
Content Type	Text
Resource Type	Article

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