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
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
  • [41] Quantitative evaluation of automated skull-stripping methods applied to contemporary and legacy images: Effects of diagnosis, bias correction, and slice location
    Fennema-Notestine, C
    Ozyurt, IB
    Clark, CP
    Morris, S
    Bischoff-Grethe, A
    Bondi, MW
    Jernigan, TL
    Fischl, B
    Segonne, F
    Shattuck, DW
    Leahy, RM
    Rex, DE
    Toga, AW
    Zou, KH
    Birn, M
    Brown, GG
    HUMAN BRAIN MAPPING, 2006, 27 (02) : 99 - 113
  • [42] An Innovative approach based on Skull Stripping for MRI images of Human Brain
    Sharma, Anshika
    Singh, Shailendra Narayan
    Kumar, Sushil
    2017 2ND INTERNATIONAL CONFERENCE ON TELECOMMUNICATION AND NETWORKS (TEL-NET), 2017, : 190 - 193
  • [43] Histogram Peak Analysis: A fast skull stripping technique for brain MR image
    Debnath, Sushanta
    Talukdar, Fazal A.
    2020 ADVANCED COMMUNICATION TECHNOLOGIES AND SIGNAL PROCESSING (IEEE ACTS), 2020,
  • [44] MULTI SCALE REPRESENTATION FOR REMOTELY SENSED IMAGES USING FAST ANISOTROPIC DIFFUSION FILTERING
    Vanhamel, I.
    Alrefaya, M.
    Sahli, H.
    2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2010, : 2222 - 2225
  • [45] Rician noise removal in magnitude MRI images using efficient anisotropic diffusion filtering
    Pal, Chandrajit
    Das, Pabitra
    Chakrabarti, Amlan
    Ghosh, Ranjan
    INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, 2017, 27 (03) : 248 - 264
  • [46] An Efficient FPGA Implementation of Optimized Anisotropic Diffusion Filtering of Images
    Pal, Chandrajit
    Kotal, Avik
    Samanta, Asit
    Chakrabarti, Amlan
    Ghosh, Ranjan
    INTERNATIONAL JOURNAL OF RECONFIGURABLE COMPUTING, 2016, 2016 (2016)
  • [47] Selection of a Stopping Criterion for Anisotropic Diffusion Filtering in Ultrasound Images
    Guillen, Javier E., I
    Contreras-Ortiz, Sonia H.
    2019 XXII SYMPOSIUM ON IMAGE, SIGNAL PROCESSING AND ARTIFICIAL VISION (STSIVA), 2019,
  • [48] Quantitative evaluation of robust skull stripping and tumor detection applied to axial MR images
    Chaddad A.
    Tanougast C.
    Brain Informatics, 2016, 3 (01) : 53 - 61
  • [49] Extraction of Brain from MRI Images by Skull Stripping using Histogram Partitioning with Maximum Entropy Divergence
    Subudhi, Asit
    Jena, Jitendra
    Sabut, Sukanta
    2016 INTERNATIONAL CONFERENCE ON COMMUNICATION AND SIGNAL PROCESSING (ICCSP), VOL. 1, 2016, : 931 - 935
  • [50] RU-Net: skull stripping in rat brain MR images after ischemic stroke with rat U-Net
    Chang, Herng-Hua
    Yeh, Shin-Joe
    Chiang, Ming-Chang
    Hsieh, Sung-Tsang
    BMC MEDICAL IMAGING, 2023, 23 (01)