Skull-stripping MR Brain Images Using Anisotropic Diffusion Filtering And Morphological Processing

被引：0
|
作者：
Gao, Jingjing [1 ]
Xie, Mei [1 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Elect Engn, Chengdu 610054, Peoples R China
来源：
2009 INTERNATIONAL SYMPOSIUM ON COMPUTER NETWORK AND MULTIMEDIA TECHNOLOGY (CNMT 2009), VOLUMES 1 AND 2 | 2009年
关键词：
Skull-stripping; Brain tissue; Anisotropic Diffusion Filtering; The edge detect; Morphological Processing;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The traditional methods for MRI image skull-stripping are not precise .Aiming at this problem, this paper develops method based on Anisotropic Diffusion Filtering and Morphological Processing. Firstly, it uses Anisotropic Diffusion Filter to smoothes noisy regions in the image. Secondly, the edge detector is used to locate the anatomical boundaries. Lastly, the task of the morphological processor is to select the pixel corresponding to the brain tissue from the original image. The results show that this method can segment brain precisely. The experiments show that this method can segment the brain and non-brain precisely, realize skull-stripping.
引用
收藏
页码：817 / 820
页数：4
相关论文
共 50 条
  • [21] The Automated Skull Stripping of Brain Magnetic Resonance Images using the Integrated Method
    Chansuparp, Manit
    Rodtook, Annupan
    Rasmequan, Suwanna
    Chinnasarn, Krisana
    2015 8TH BIOMEDICAL ENGINEERING INTERNATIONAL CONFERENCE (BMEICON), 2015,
  • [22] Skull-Stripping of Glioblastoma MRI Scans Using 3D Deep Learning
    Thakur, Siddhesh P.
    Doshi, Jimit
    Pati, Sarthak
    Ha, Sung Min
    Sako, Chiharu
    Talbar, Sanjay
    Kulkarni, Uday
    Davatzikos, Christos
    Erus, Guray
    Bakas, Spyridon
    BRAINLESION: GLIOMA, MULTIPLE SCLEROSIS, STROKE AND TRAUMATIC BRAIN INJURIES (BRAINLES 2019), PT I, 2020, 11992 : 57 - 68
  • [23] Fuzzy-ASM based automated skull stripping method from infantile brain MR images
    Kobashi, Syoji
    Fujimoto, Yuko
    Ogawa, Masayo
    Ando, Kumiko
    Ishikura, Reiichi
    Kondo, Katsuya
    Hirota, Shozo
    Hata, Yutaka
    GRC: 2007 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING, PROCEEDINGS, 2007, : 632 - +
  • [24] Efficient anisotropic filtering of diffusion tensor images
    Xu, Qing
    Anderson, Adam W.
    Gore, John C.
    Ding, Zhaohua
    MAGNETIC RESONANCE IMAGING, 2010, 28 (02) : 200 - 211
  • [25] Nonlinear filtering of hyperspectral images with anisotropic diffusion
    Lennon, M
    Mercier, G
    Hubert-Moy, L
    IGARSS 2002: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM AND 24TH CANADIAN SYMPOSIUM ON REMOTE SENSING, VOLS I-VI, PROCEEDINGS: REMOTE SENSING: INTEGRATING OUR VIEW OF THE PLANET, 2002, : 2477 - 2479
  • [26] Filtering interferometric phase images by anisotropic diffusion
    Lacombe, C
    Aubert, G
    Blanc-Firaud, L
    Kornprobst, P
    2003 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL 3, PROCEEDINGS, 2003, : 141 - 144
  • [27] Bilateral filtering of diffusion tensor MR images
    Hamarneh, Ghassan
    Hradsky, Judith
    2006 IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY, VOLS 1 AND 2, 2006, : 507 - +
  • [28] Optimal filtering of solar images using soft morphological processing techniques
    Marshall, S.
    Fletcher, L.
    Hough, K.
    ASTRONOMY & ASTROPHYSICS, 2006, 457 (02) : 729 - 736
  • [29] Morphology Based Enhancement and Skull Stripping of MRI Brain Images
    Benson, C. C.
    Lajish, V. L.
    2014 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING APPLICATIONS (ICICA 2014), 2014, : 254 - 257
  • [30] Radiographers Agreement on Skull Stripping Accuracy for MRI Brain Images
    Khalid, Noor Elaiza Abdul
    Ibrahim, Shafaf
    Ali, Mohd Hanafi
    Manaf, Mazani
    2013 IEEE INTERNATIONAL CONFERENCE ON CONTROL SYSTEM, COMPUTING AND ENGINEERING (ICCSCE 2013), 2013, : 525 - 529
12345