Hidden Markov random field model based brain MR image segmentation using clonal selection algorithm and Markov chain Monte Carlo method
• Investigated statistical models and model estimation methods for MR image segmentation. • Proposed a HMRF model based method that can jointly segment MR images and correct bias fields. • The HMRF model is stepwise learned by MCMC-based voxel labeling and CSA-based model estimation. • The results o...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Zhang, Tong [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2014 |
|---|
| Schlagwörter: |
Clonal selection algorithm (CSA) Magnetic resonance imaging (MRI) |
|---|
| Umfang: |
9 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Independent influences of excessive body weight and elevated blood pressure from childhood on left ventricular geometric remodeling in adulthood - Yan, Yinkun ELSEVIER, 2017, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:12 ; year:2014 ; pages:10-18 ; extent:9 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.bspc.2013.07.010 |
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ELV039300056 |
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Hidden Markov random field model based brain MR image segmentation using clonal selection algorithm and Markov chain Monte Carlo method |
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• Investigated statistical models and model estimation methods for MR image segmentation. • Proposed a HMRF model based method that can jointly segment MR images and correct bias fields. • The HMRF model is stepwise learned by MCMC-based voxel labeling and CSA-based model estimation. • The results of the proposed algorithm are very promising and robust to image artifacts. |
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• Investigated statistical models and model estimation methods for MR image segmentation. • Proposed a HMRF model based method that can jointly segment MR images and correct bias fields. • The HMRF model is stepwise learned by MCMC-based voxel labeling and CSA-based model estimation. • The results of the proposed algorithm are very promising and robust to image artifacts. |
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• Investigated statistical models and model estimation methods for MR image segmentation. • Proposed a HMRF model based method that can jointly segment MR images and correct bias fields. • The HMRF model is stepwise learned by MCMC-based voxel labeling and CSA-based model estimation. • The results of the proposed algorithm are very promising and robust to image artifacts. |
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