Bladder Segmentation in MRI Images using Active Region Growing Model

被引:0
|
作者
Garnier, Carole [1 ]
Ke, Wu [2 ,3 ,4 ]
Dillenseger, Jean-Louis [1 ]
机构
[1] Univ Rennes 1, LTSI, Lab Traitement Signal & Image, INSERM,U642, F-35000 Rennes, France
[2] Southeast Univ, Sch Comp Sci & Engn, Lab Image Sci & Technol, Nanjing 210096, Jiangsu, Peoples R China
[3] Univ Rennes 1, Cent Recherche Informat Biomed sino francais, Lab Int Assoc, Rennes, France
[4] Southeast Univ, Nanjing, Jiangsu, Peoples R China
关键词
PROSTATE BOUNDARY SEGMENTATION; AUTOMATIC SEGMENTATION; ULTRASOUND IMAGES;
D O I
暂无
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Prostate segmentation in MRI may be difficult at the interface with the bladder where the contrast is poor. Coupled-models that segment simultaneously both organs with non-overlapping constraints offer a good solution. As a pre-segmentation of the structures of interest is required, we propose in this paper a fast deformable model to segment the bladder. The combination of inflation and internal forces, locally adapted according to the gray levels, allow to deform the mesh toward the boundaries while overcoming the leakage issues that can occur at weak edges. The algorithm, evaluated on 33 MRI volumes from 5 different devices, has shown good performance providing a smooth and accurate surface.
引用
收藏
页码:5702 / 5705
页数:4
相关论文
共 50 条
  • [1] Segmentation of MR brain images using region growing combined with an active contour model
    Parveen, R
    Todd-Pokropek, A
    CARS 2002: COMPUTER ASSISTED RADIOLOGY AND SURGERY, PROCEEDINGS, 2002, : 1023 - 1023
  • [2] Segmentation of medical images using adaptive region growing
    Pohle, R
    Toennies, KD
    MEDICAL IMAGING: 2001: IMAGE PROCESSING, PTS 1-3, 2001, 4322 : 1337 - 1346
  • [3] Segmentation of the right ventricle in MRI images using a dual active shape model
    El-Rewaidy, Hossam
    Ibrahim, El-Sayed
    Fahmy, Ahmed S.
    IET IMAGE PROCESSING, 2016, 10 (10) : 717 - 723
  • [4] Segmentation of Left Ventricle in Cardiac MRI Images Using Adaptive Multi-Seeded Region Growing
    AlAttar, Mustafa A.
    Osman, Nael F.
    Fahmy, Ahmed S.
    2010 5TH CAIRO INTERNATIONAL BIOMEDICAL ENGINEERING CONFERENCE (CIBEC 2010), 2010, : 25 - 28
  • [5] Segmentation of medical images by region growing
    Abunde Barrera, Itzel
    Gutierrez Estrada, Citlalih
    Diaz Zagal, Sergio
    Nieto Perez, Martin de Jess
    PROCEEDINGS OF THE 2008 IEEE INTERNATIONAL CONFERENCE ON INFORMATION REUSE AND INTEGRATION, 2008, : 441 - 444
  • [6] SEGMENTATION OF BRAIN CT IMAGES USING THE CONCEPT OF REGION GROWING
    SANDOR, T
    METCALF, D
    KIM, YJ
    INTERNATIONAL JOURNAL OF BIO-MEDICAL COMPUTING, 1991, 29 (02): : 133 - 147
  • [7] Whole Heart Region Segmentation from CT and MRI Images Using a Hybrid Model
    Chen, Feng
    Yang, Xubo
    Longhi, Benjamin
    Gu, Lixu
    Xu, Jianrong
    PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9, 2009, : 1898 - 1902
  • [8] Region Growing Segmentation of Ultrasound Images using Gradients and Local Statistics
    Mercado-Aguirre, Isabela M.
    Patino-Vanegas, Alberto
    Contreras-Ortiz, Sonia H.
    MEDICAL IMAGING 2017: ULTRASONIC IMAGING AND TOMOGRAPHY, 2017, 10139
  • [9] Region growing segmentation of textured cell images
    Wu, HS
    Barba, J
    Gil, J
    ELECTRONICS LETTERS, 1996, 32 (12) : 1084 - 1085
  • [10] Active region segmentation of color images using neural networks
    Iwata, Haruyuki
    Nagahashi, Hiroshi
    Systems and Computers in Japan, 1998, 29 (04): : 1 - 10