A Statistical Texture Model of the Liver Based on Generalized N-Dimensional Principal Component Analysis (GND-PCA) and 3D Shape Normalization
We present a method based on generalized N-dimensional principal component analysis (GND-PCA) and a 3D shape normalization technique for statistical texture modeling of the liver. The 3D shape normalization technique is used for normalizing liver shapes in order to remove the liver shape variability...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2011-01-01
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| Series: | International Journal of Biomedical Imaging |
| Online Access: | http://dx.doi.org/10.1155/2011/601672 |
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| _version_ | 1832565052501131264 |
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| author | Xu Qiao Yen-Wei Chen |
| author_facet | Xu Qiao Yen-Wei Chen |
| author_sort | Xu Qiao |
| collection | DOAJ |
| description | We present a method based on generalized N-dimensional principal component analysis (GND-PCA) and a 3D shape normalization technique for statistical texture modeling of the liver. The 3D shape normalization technique is used for normalizing liver shapes in order to remove the liver shape variability and capture pure texture variations. The GND-PCA is used to overcome overfitting problems when the training samples are too much fewer than the dimension of the data. The preliminary results of leave-one-out experiments show that the statistical texture model of the liver built by our method can represent an untrained liver volume well, even though the mode is trained by fewer samples. We also demonstrate its potential application to classification of normal and abnormal (with tumors) livers. |
| format | Article |
| id | doaj-art-b68987c63b904c08883dac360a5557f8 |
| institution | Kabale University |
| issn | 1687-4188 1687-4196 |
| language | English |
| publishDate | 2011-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Biomedical Imaging |
| spelling | doaj-art-b68987c63b904c08883dac360a5557f82025-02-03T01:09:36ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962011-01-01201110.1155/2011/601672601672A Statistical Texture Model of the Liver Based on Generalized N-Dimensional Principal Component Analysis (GND-PCA) and 3D Shape NormalizationXu Qiao0Yen-Wei Chen1College of Information Science and Engineering, Ritsumeikan University, 525-0054 Kusatsu, JapanCollege of Information Science and Engineering, Ritsumeikan University, 525-0054 Kusatsu, JapanWe present a method based on generalized N-dimensional principal component analysis (GND-PCA) and a 3D shape normalization technique for statistical texture modeling of the liver. The 3D shape normalization technique is used for normalizing liver shapes in order to remove the liver shape variability and capture pure texture variations. The GND-PCA is used to overcome overfitting problems when the training samples are too much fewer than the dimension of the data. The preliminary results of leave-one-out experiments show that the statistical texture model of the liver built by our method can represent an untrained liver volume well, even though the mode is trained by fewer samples. We also demonstrate its potential application to classification of normal and abnormal (with tumors) livers.http://dx.doi.org/10.1155/2011/601672 |
| spellingShingle | Xu Qiao Yen-Wei Chen A Statistical Texture Model of the Liver Based on Generalized N-Dimensional Principal Component Analysis (GND-PCA) and 3D Shape Normalization International Journal of Biomedical Imaging |
| title | A Statistical Texture Model of the Liver Based on Generalized N-Dimensional Principal Component Analysis (GND-PCA) and 3D Shape Normalization |
| title_full | A Statistical Texture Model of the Liver Based on Generalized N-Dimensional Principal Component Analysis (GND-PCA) and 3D Shape Normalization |
| title_fullStr | A Statistical Texture Model of the Liver Based on Generalized N-Dimensional Principal Component Analysis (GND-PCA) and 3D Shape Normalization |
| title_full_unstemmed | A Statistical Texture Model of the Liver Based on Generalized N-Dimensional Principal Component Analysis (GND-PCA) and 3D Shape Normalization |
| title_short | A Statistical Texture Model of the Liver Based on Generalized N-Dimensional Principal Component Analysis (GND-PCA) and 3D Shape Normalization |
| title_sort | statistical texture model of the liver based on generalized n dimensional principal component analysis gnd pca and 3d shape normalization |
| url | http://dx.doi.org/10.1155/2011/601672 |
| work_keys_str_mv | AT xuqiao astatisticaltexturemodeloftheliverbasedongeneralizedndimensionalprincipalcomponentanalysisgndpcaand3dshapenormalization AT yenweichen astatisticaltexturemodeloftheliverbasedongeneralizedndimensionalprincipalcomponentanalysisgndpcaand3dshapenormalization AT xuqiao statisticaltexturemodeloftheliverbasedongeneralizedndimensionalprincipalcomponentanalysisgndpcaand3dshapenormalization AT yenweichen statisticaltexturemodeloftheliverbasedongeneralizedndimensionalprincipalcomponentanalysisgndpcaand3dshapenormalization |