Title | ||
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Medical image registration algorithm with generalized mutual information and PSO-Powell hybrid algorithm |
Abstract | ||
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The medical image registration algorithm uses the mutual information measure function that has many local extremes Therefore, we propose our medical image registration algorithm that combines generalized mutual information with PSO-Powell hybrid algorithm and uses the objective measure function based on Renyi entropy The Renyi entropy can remove the local extremes We use the particle swarm optimization (PSO) algorithm to locate the measure function near the local extremes Then we take the local extremes as initial point and use the Powell optimization algorithm to search for the global optimal solution Section 2.2 of the paper presents the six-step procedure of our registration algorithm We simulate medical image data with the registration algorithm; the simulation results, given in Table 2 and 3, show preliminarily that the registration algorithm can eliminate the local extremes of objective measure function and accelerate the convergence rate, thus obtaining accurate and better registration results. |
Year | DOI | Venue |
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2010 | 10.1007/978-3-642-13495-1_20 | ICSI (1) |
Keywords | Field | DocType |
pso-powell hybrid algorithm,medical image registration algorithm,renyi entropy,better registration result,generalized mutual information,objective measure,measure function,mutual information measure function,registration algorithm,powell optimization algorithm,local extreme,convergence rate,global optimization,mutual information,hybrid algorithm | Hybrid algorithm,Computer science,Rényi entropy,Optimization algorithm,Artificial intelligence,Rate of convergence,Particle swarm optimization,Mathematical optimization,Ramer–Douglas–Peucker algorithm,Algorithm,Mutual information,Machine learning,Image registration | Conference |
Volume | ISSN | ISBN |
6145 | 0302-9743 | 3-642-13494-7 |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jingzhou Zhang | 1 | 18 | 4.40 |
Pengfei Huo | 2 | 3 | 0.83 |
Jionghua Teng | 3 | 10 | 1.81 |
Xue Wang | 4 | 33 | 6.20 |
Suhuan Wang | 5 | 8 | 1.30 |