Brain Image Registration Techniques using Wang Landau Adaptive Monte Carlo Approach

被引:0
|
作者
Sasikala, D. [1 ]
Neelaveni, R. [2 ]
机构
[1] Bannari Amman Inst Technol, Sathyamangalam 638401, India
[2] PSG Coll Technol, Coimbatore 641004, Tamil Nadu, India
来源
关键词
Wang Landau Adaptive Monte Carlo Approach (WLAMC); Medical image registration; Adaptive Monte Carlo Approach (AMC); Mutual Information (MI); Correlation Coefficient; Computed Time of Registration (CTR); EFFICIENT;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper discusses the application of Wang Landau Adaptive Monte Carlo Approach algorithm for registration of monomodal brain images. CT or / and MRI brain images are considered for the study. Wang Landau Adaptive Monte Carlo is compared with Adaptive Monte Carlo method. In medical image registration of brain images, Wang Landau Adaptive Monte Carlo is more reliable than Adaptive Monte Carlo for scaling in single transformation, translation and scaling in any two combined transformation and translation, rotation and scaling in all the three combined transformations. Hence for registration of brain images using all the three combined transformations - translation, rotation and scaling, Wang Landau Adaptive Monte Carlo can be used.
引用
收藏
页码:114 / 121
页数:8
相关论文
共 50 条
  • [31] Thermodynamic Properties of Star Shaped Polymers Investigated with Wang-Landau Monte Carlo Simulations
    Silantyeva, I. A.
    Vorontsov-Velyaminov, P. N.
    [J]. MACROMOLECULAR SYMPOSIA, 2012, 317 (01) : 267 - 275
  • [32] A new paradigm for petascale Monte Carlo simulation: Replica exchange Wang-Landau sampling
    Li, Ying Wai
    Vogel, Thomas
    Wuest, Thomas
    Landau, David P.
    [J]. 25TH IUPAP CONFERENCE ON COMPUTATIONAL PHYSICS (CCP2013), 2014, 510
  • [33] Wang-Landau Monte Carlo simulation of isotropic-nematic transition in liquid crystals
    Jayasri, D
    Sastry, VSS
    Murthy, KPN
    [J]. PHYSICAL REVIEW E, 2005, 72 (03):
  • [34] An Adaptive approach for Estimation of an Underwater Optical Channel using Monte Carlo
    Qadar, Rabia
    Kasi, Mumraiz K.
    Ayub, Sara
    Kakar, Faisal A.
    [J]. OCEANS 2017 - ABERDEEN, 2017,
  • [35] Edge-adaptive super-resolution image reconstruction using a Markov chain Monte Carlo approach
    Jing Tian
    Ma, Kai-Kuang
    [J]. 2007 6TH INTERNATIONAL CONFERENCE ON INFORMATION, COMMUNICATIONS & SIGNAL PROCESSING, VOLS 1-4, 2007, : 169 - 173
  • [36] Phase transition of Laplacian roughening model on a triangular lattice using Wang-Landau Monte Carlo simulation and Fisher zeros
    Kim, Jin Min
    [J]. JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, 2021, 2021 (02):
  • [37] Convergence of Stochastic Approximation Monte Carlo and modified Wang-Landau algorithms: Tests for the Ising model
    Schneider, Simon
    Mueller, Marco
    Janke, Wolfhard
    [J]. COMPUTER PHYSICS COMMUNICATIONS, 2017, 216 : 1 - 7
  • [38] Incorporating configurational-bias Monte Carlo into the Wang-Landau algorithm for continuous molecular systems
    Maerzke, Katie A.
    Gai, Lili
    Cummings, Peter T.
    McCabe, Clare
    [J]. JOURNAL OF CHEMICAL PHYSICS, 2012, 137 (20):
  • [39] Residual entropy of ice Ih by Wang-Landau Monte Carlo simulation of an effective Ising model
    Li, De-Zhang
    Zhao, Yu-Jun
    Yang, Xiao-Bao
    [J]. JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, 2022, 2022 (10):
  • [40] Wang-Landau configurational bias Monte Carlo simulations: vapour-liquid equilibria of alkenes
    Ngale, K. Ndumbe
    Desgranges, C.
    Delhommelle, J.
    [J]. MOLECULAR SIMULATION, 2012, 38 (8-9) : 653 - 658