Non-rigid registration for automatic fracture segmentation

被引:7
|
作者
Pettersson, Johanna [1 ]
Knutsson, Hans [1 ]
Borga, Magnus [1 ]
机构
[1] Linkoping Univ, Ctr Med Image Sci & Visualizat, Dept Biomed Engn, S-58183 Linkoping, Sweden
关键词
registration; segmentation; computer tomography; biomedical image processing;
D O I
10.1109/ICIP.2006.312695
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Automatic segmentation of anatomical structures is often performed using model-based non-rigid registration methods. These algorithms work well when the images do not contain any large deviations from the normal anatomy. We have previously used such a method to generate patient specific models of hip bones for surgery simulation. The method that was used, the morphon method, registers two-or three-dimensional images using a multi-resolution deformation scheme. A prototype image is iteratively registered to a target image using quadrature filter phase difference to estimate the local displacement. The morphon method has in this work been extended to deal with automatic segmentation of fractured bones. Two features have been added. First, the method is modified such that multiple prototypes (in this case two) can be used. Second, normalised convolution is utilized for the displacement estimation, to guide the registration of the second prototype, based on the result of the registration of the first one.
引用
收藏
页码:1185 / +
页数:2
相关论文
共 50 条
  • [1] Automatic hip bone segmentation using non-rigid registration
    Pettersson, Johanna
    Knutsson, Hans
    Borga, Magnus
    [J]. 18TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 3, PROCEEDINGS, 2006, : 946 - +
  • [2] Coupled PDEs for non-rigid registration and segmentation
    Unal, G
    Slabaugh, G
    [J]. 2005 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOL 1, PROCEEDINGS, 2005, : 168 - 175
  • [3] Automatic non-rigid registration of MR and PET images
    Lee, JK
    Kim, JS
    Kim, JS
    Kim, IY
    Kim, SI
    [J]. MEDICAL IMAGING: 2001: IMAGE PROCESSING, PTS 1-3, 2001, 4322 : 1621 - 1627
  • [4] Segmentation and volume representation based on spheres for non-rigid registration
    Rivera-Rovelo, J
    Bayro-Corrochano, E
    [J]. COMPUTER VISION FOR BIOMEDICAL IMAGE APPLICATIONS, PROCEEDINGS, 2005, 3765 : 449 - 458
  • [5] ANHIR: Automatic Non-Rigid Histological Image Registration Challenge
    Borovec, Jiri
    Kybic, Jan
    Arganda-Carreras, Ignacio
    Sorokin, Dmitry V.
    Bueno, Gloria
    Khvostikov, Alexander V.
    Bakas, Spyridon
    Chang, Eric I-Chao
    Heldmann, Stefan
    Kartasalo, Kimmo
    Latonen, Leena
    Lotz, Johannes
    Noga, Michelle
    Pati, Sarthak
    Punithakumar, Kumaradevan
    Ruusuvuori, Pekka
    Skalski, Andrzej
    Tahmasebi, Nazanin
    Valkonen, Masi
    Venet, Ludovic
    Wang, Yizhe
    Weiss, Nick
    Wodzinski, Marek
    Xiang, Yu
    Xu, Yan
    Yan, Yan
    Yushkevich, Paul
    Zhao, Shengyu
    Munoz-Barrutia, Arrate
    [J]. IEEE TRANSACTIONS ON MEDICAL IMAGING, 2020, 39 (10) : 3042 - 3052
  • [6] Groupwise diffeomorphic non-rigid registration for automatic model building
    Cootes, TF
    Marsland, S
    Twining, CJ
    Smith, K
    Taylor, CJ
    [J]. COMPUTER VISION - ECCV 2004, PT 4, 2004, 2034 : 316 - 327
  • [7] Pairwise similarities across images for multiple view Rigid/Non-Rigid segmentation and registration
    Bertelli, Luca
    Zuliani, Marco
    Manjunath, B. S.
    [J]. 2007 IEEE 11TH INTERNATIONAL CONFERENCE ON COMPUTER VISION, VOLS 1-6, 2007, : 1096 - 1103
  • [8] A Non-Rigid Image Registration Algorithm That Accommodates Organ Segmentation Error
    Zhang, C.
    Christensen, G. E.
    Kurtek, S.
    Srivastava, A.
    Weiss, E.
    Murphy, M. J.
    Williamson, J. F.
    [J]. MEDICAL PHYSICS, 2012, 39 (06) : 3960 - 3960
  • [9] A Cost Efficient Approach for Automatic Non-Rigid Registration of Medical Images
    Dhahbi, Sami
    Barhoumi, Walid
    Zagrouba, Ezzeddine
    [J]. MEDICAL IMAGE ANALYSIS AND DESCRIPTION FOR DIAGNOSIS SYSTEMS, 2009, : 3 - 12
  • [10] Automatic construction of statistical shape models using non-rigid registration
    Cootes, Tim
    [J]. COMPUTATIONAL VISION AND MEDICAL IMAGING PROCESSING, 2008, : 3 - 4