Title | ||
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A deep Boltzmann machine-driven level set method for heart motion tracking using cine MRI images. |
Abstract | ||
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•The DBM needs small-sized data set to train, but imposes strong modeling ability.•A three-layer DBM can capture both local and global properties of heart contours.•An efficient layer-wise block-Gibbs sampling is used to infer heart shape priors.•The DBM-induced heart shape priors are used as constraints of DRLSE evolution. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1016/j.media.2018.03.015 | Medical Image Analysis |
Keywords | Field | DocType |
Heart motion tracking,Generative shape model,Deep Boltzmann machine,Distance regularized level-set evolution,MRI-guided radiation therapy | Heart shape,Computer vision,Boltzmann machine,Pattern recognition,Level set method,Markov chain,Spatial relationship,Artificial intelligence,Initialization,Mathematics,Match moving,Heart motion | Journal |
Volume | ISSN | Citations |
47 | 1361-8415 | 1 |
PageRank | References | Authors |
0.37 | 26 | 13 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jian Wu | 1 | 1 | 1.05 |
Thomas Mazur | 2 | 1 | 1.05 |
Ruan Su | 3 | 559 | 53.00 |
Chunfeng Lian | 4 | 132 | 22.61 |
Nalini Daniel | 5 | 1 | 0.71 |
Hilary Lashmett | 6 | 1 | 0.71 |
Laura Ochoa | 7 | 1 | 0.71 |
Imran Zoberi | 8 | 1 | 0.71 |
Mark A. Anastasio | 9 | 105 | 25.53 |
h michael gach | 10 | 1 | 1.73 |
Sasa Mutic | 11 | 1 | 1.39 |
Maria Thomas | 12 | 1 | 0.71 |
Hua Li | 13 | 45 | 9.03 |