Segmentation and Characterization of Brain Tumor from MR Images

被引：4
|
作者：
Singh, Laxman [1 ]
Dubey, R. B. [1 ]
Jaffery, Z. A. [2 ]
Zaheeruddin, Z. [2 ]
机构：
[1] Apeejay Coll Engn, Dept Inst & Control Engn, Gurgoan, India
[2] Jamia Millia Islamia, Dept Elect Engn, New Delhi, India
来源：
2009 INTERNATIONAL CONFERENCE ON ADVANCES IN RECENT TECHNOLOGIES IN COMMUNICATION AND COMPUTING (ARTCOM 2009) | 2009年
关键词：
brain tumor; image segmentation; matlab; watershed segmentation; markers; ALGORITHM;
D O I：
10.1109/ARTCom.2009.108
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The objective of this paper is to present a method to characterize a brain tumor. The authors developed a tumor characterization technique using Marker Controlled Watershed Segmentation method and region property functions using image processing toolbox. The parameters extracted are area major and minor axis length, eccentricity, orientation, equivdiameter, solidity and perimeter. This method is quite versatile, fast and simple to use. This can be applied to all type of 2D MR Images representing all tumors irrespective of their location in human body and their size. The proposed technique has been simulated on Mat lab and results are compared with experimental data obtained from diagnostic centre.
引用
收藏
页码：815 / +
页数：2
相关论文
共 50 条
  • [1] INTERACTIVE SEGMENTATION OF MR IMAGES FROM BRAIN TUMOR PATIENTS
    Bauer, Stefan
    Porz, Nicole
    Meier, Raphael
    Pica, Alessia
    Slotboom, Johannes
    Wiest, Roland
    Reyes, Mauricio
    [J]. 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 2014, : 862 - 865
  • [2] Brain Tumor Segmentation in Multispectral MR Images
    Goel, Shashwat
    Schgal, Aastha
    Mangipudi, Parthasarathi
    Mehra, Anu
    [J]. 2017 4TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND INTEGRATED NETWORKS (SPIN), 2017, : 1 - 4
  • [3] Tumor Segmentation and Gradation for MR Brain Images
    Gupta, Tanvi
    Manocha, Pranay
    Gandhi, Tapan K.
    Gupta, R. K.
    Panigrahi, B. K.
    [J]. 2018 5TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND INTEGRATED NETWORKS (SPIN), 2018, : 712 - 716
  • [4] TUMOR SEGMENTATION FROM SINGLE CONTRAST MR IMAGES OF HUMAN BRAIN
    Tang, Hui
    Lu, Huangxiang
    Liu, Weiping
    Tao, Xiaodong
    [J]. 2015 IEEE 12TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI), 2015, : 46 - 49
  • [5] Automatic Brain Tumor Segmentation And Extraction In MR Images
    Sehgal, Aastha
    Goel, Shashwat
    Mangipudi, Parthasarathi
    Mehra, Anu
    Tyagi, Devyani
    [J]. 2016 CONFERENCE ON ADVANCES IN SIGNAL PROCESSING (CASP), 2016, : 104 - 107
  • [6] Bidirectional ConvLSTMXNet for Brain Tumor Segmentation of MR Images
    Ravikumar, M.
    Shivaprasad, B. J.
    [J]. TEHNICKI GLASNIK-TECHNICAL JOURNAL, 2021, 15 (01): : 37 - 42
  • [7] Automatic Brain Tumor Detection and Segmentation in MR Images
    Zeljkovic, V.
    Druzgalski, C.
    Zhang, Y.
    Zhu, Z.
    Xu, Z.
    Zhang, D.
    Mayorga, P.
    [J]. 2014 PAN AMERICAN HEALTH CARE EXCHANGES (PAHCE), 2014,
  • [8] Brain Tumor Segmentation from Multimodal MR Images Using Rough Sets
    Saha, Rupsa
    Phophalia, Ashish
    Mitra, Suman K.
    [J]. COMPUTER VISION, GRAPHICS, AND IMAGE PROCESSING, ICVGIP 2016, 2017, 10481 : 133 - 144
  • [9] Survey on brain tumor segmentation and feature extraction of MR images
    Saman, Sangeetha
    Narayanan, Swathi Jamjala
    [J]. INTERNATIONAL JOURNAL OF MULTIMEDIA INFORMATION RETRIEVAL, 2019, 8 (02) : 79 - 99
  • [10] Survey on brain tumor segmentation and feature extraction of MR images
    Sangeetha Saman
    Swathi Jamjala Narayanan
    [J]. International Journal of Multimedia Information Retrieval, 2019, 8 : 79 - 99
12345