Reconstruction of emission tomographic images using the compound Gauss-Markov random field

被引:0
|
作者
Kudo, Hiroyuki [1 ]
Saito, Tsuneo [1 ]
机构
[1] Univ of Tsukuba, Tsukuba, Japan
关键词
Compound Gauss-Markov random field - Emission computed tomography - Emission tomographic images - Generalized expectation maximization algorithm - Image model - Maximum a posteriori probability - Maximum likelihood estimation - Statistical quantum noise;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:78 / 87
相关论文
共 50 条
  • [21] Applications of noncausal Gauss-Markov random field models in image and video processing
    Asif, Amir
    ADVANCES IN IMAGING AND ELECTRON PHYSICS, VOL 145, 2007, 145 : 1 - 53
  • [22] Estimating the Gauss-Markov Random Field Parameters for Remote Sensing Image Textures
    Navarro, Rolando D., Jr.
    Magadia, Joselito C.
    Paringit, Enrico C.
    TENCON 2009 - 2009 IEEE REGION 10 CONFERENCE, VOLS 1-4, 2009, : 581 - 586
  • [23] Entropy controlled Gauss-Markov random measure field models for early vision
    Rivera, M
    Ocegueda, O
    Marroquin, JL
    VARIATIONAL, GEOMETRIC, AND LEVEL SET METHODS IN COMPUTER VISION, PROCEEDINGS, 2005, 3752 : 137 - 148
  • [24] A novel Gauss-Markov random field approach for regularization of diffusion tensor maps
    Martín-Fernández, M
    Josá-Estépar, RS
    Westin, CF
    Alberola-López, C
    COMPUTER AIDED SYSTEMS THEORY - EUROCAST 2003, 2003, 2809 : 506 - 517
  • [25] Gauss-Markov random fields (GMrf) with continuous indices
    Moura, JMF
    Goswami, S
    IEEE TRANSACTIONS ON INFORMATION THEORY, 1997, 43 (05) : 1560 - 1573
  • [27] Staistical-mechanical iterative algorithm by means of cluster variation method in compound Gauss-Markov random field model
    Tanaka, Kazuyuki
    Transactions of the Japanese Society for Artificial Intelligence, 2001, 16 (02) : 259 - 267
  • [28] FAST IMAGE REGISTRATION WITH NON-STATIONARY GAUSS-MARKOV RANDOM FIELD TEMPLATES
    Ramamurthy, Karthikeyan Natesan
    Thiagarajan, Jayaraman J.
    Spanias, Andreas
    2009 16TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-6, 2009, : 185 - 188
  • [29] Adaptive quantization and filtering using Gauss-Markov measure field models
    Marroquin, JL
    Botello, S
    Rivera, M
    BAYESIAN INFERENCE FOR INVERSE PROBLEMS, 1998, 3459 : 238 - 249
  • [30] Classification of hyperspectral spatial/spectral patterns using Gauss-Markov random fields
    Smartt, Heidi A.
    Tyo, J. Scott
    ALGORITHMS AND TECHNOLOGIES FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY XII PTS 1 AND 2, 2006, 6233