An MR image segmentation algorithm based on bias field correction
| Autor: | Fei He, Yanfang Li, Wei He, Zhengang Jiang, Jiahai Dai, Weili Shi, Fei Yan, Jiashi Zhao, Huimiao Zhang, Yu Miao |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
medicine.diagnostic_test
business.industry Segmentation-based object categorization Computer science Scale-space segmentation Magnetic resonance imaging 02 engineering and technology Image segmentation 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Robustness (computer science) Histogram 0202 electrical engineering electronic engineering information engineering Medical imaging medicine 020201 artificial intelligence & image processing Computer vision Segmentation Artificial intelligence business |
| Zdroj: | ICNC-FSKD |
| DOI: | 10.1109/fskd.2016.7603461 |
| Popis: | Bias field which existed in MR image had an unfavorable influence on analyzing medical image, especially for medical image segmentation. To solve it, this paper proposed an approach which is based on energy minimization to estimate bias field where exists in the MR image, finish brain tissue segmentation, meanwhile. This method fully utilize the properties of factual information and bias information in the MR image, and by means of effective and stabilized matrix iterative calculation we can obtain optimal value of bias field and every tissues. Furthermore, this method also reflects excellent, robustness and accuracy. |
| Databáze: | OpenAIRE |
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