Computer-Aided Diagnosis and Quantification of Cirrhotic Livers Based on Morphological Analysis and Machine Learning

It is widely known that morphological changes of the liver and the spleen occur during the clinical course of chronic liver diseases. In this paper, we proposed a morphological analysis method based on statistical shape models (SSMs) of the liver and spleen for computer-aided diagnosis and quantification of the chronic liver. We constructed not only the liver SSM but also the spleen SSM and a joint SSM of the liver and the spleen for a morphologic analysis of the cirrhotic liver in CT images. The effective modes are selected based on both its accumulation contribution rate and its correlation with doctor's opinions (stage labels). We then learn a mapping function between the selected mode and the stage of chronic liver. The mapping function was used for diagnosis and staging of chronic liver diseases.

[1]  H. Lamecker,et al.  Segmentation of the Liver using a 3D Statistical Shape Model , 2004 .

[2]  Bernhard Schölkopf,et al.  A tutorial on support vector regression , 2004, Stat. Comput..

[3]  L. Sobin,et al.  The morphology of cirrhosis. Recommendations on definition, nomenclature, and classification by a working group sponsored by the World Health Organization. , 1978, Journal of clinical pathology.

[4]  Thomas Lange,et al.  A Statistical Shape Model for the Liver , 2002, MICCAI.

[5]  Hervé Delingette,et al.  A Computational Framework for the Statistical Analysis of Cardiac Diffusion Tensors: Application to a Small Database of Canine Hearts , 2007, IEEE Transactions on Medical Imaging.

[6]  Yoshinobu Sato,et al.  Construction of Hierarchical Multi-Organ Statistical Atlases and Their Application to Multi-Organ Segmentation from CT Images , 2008, MICCAI.

[7]  Timothy F. Cootes,et al.  Active Shape Models-Their Training and Application , 1995, Comput. Vis. Image Underst..

[8]  Yen-Wei Chen,et al.  Preliminary study on statistical shape model applied to diagnosis of liver cirrhosis , 2011, 2011 18th IEEE International Conference on Image Processing.

[9]  H. Fujita,et al.  Computer-aided diagnosis of hepatic fibrosis: preliminary evaluation of MRI texture analysis using the finite difference method and an artificial neural network. , 2007, AJR. American journal of roentgenology.

[10]  Yi Wang,et al.  Studies on tissue characterization by texture analysis with co-occurrence matrix method using ultrasonography and CT imaging , 2002, Journal of Medical Ultrasonics.

[11]  Yen-Wei Chen,et al.  Automated segmentation of the liver from 3D CT images using probabilistic atlas and multilevel statistical shape model. , 2008, Academic radiology.

[12]  Yen-Wei Chen,et al.  Segmentation of Liver in Low-Contrast Images Using K-Means Clustering and Geodesic Active Contour Algorithms , 2013, IEICE Trans. Inf. Syst..

[13]  Jing Zhou,et al.  An Efficient Method For Dark License Plate Detection , 2013 .

[14]  Anand Rangarajan,et al.  A new point matching algorithm for non-rigid registration , 2003, Comput. Vis. Image Underst..

[15]  Ronald M. Summers,et al.  Automated liver segmentation using a normalized probabilistic atlas , 2009, Medical Imaging.

[16]  Yen-Wei Chen,et al.  2D-PCA Based Statistical Shape Model from few Medical Samples , 2009, 2009 Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing.

[17]  R. Woods,et al.  Mathematical/computational challenges in creating deformable and probabilistic atlases of the human brain , 2000, Human brain mapping.

[18]  Xian-Hua Han,et al.  Application of Statistical Shape Model of the Liver in Classification of Cirrhosis , 2013 .

[19]  Yasushi Hirano,et al.  Texture Analysis of Hepatic Fibrosis in CT Images , 2013 .

[20]  Xiangrong Zhou,et al.  Automatic Segmentation of Hepatic Tissue and 3D Volume Analysis of Cirrhosis in Multi-Detector Row CT Scans and MR Imaging , 2004, IEICE Trans. Inf. Syst..

[21]  Omer Kayaalti,et al.  Texture analysis of liver cirrhosis , 2010, 2010 15th National Biomedical Engineering Meeting.

[22]  N. Afdhal,et al.  Evaluation of Liver Fibrosis: A Concise Review , 2004, American Journal of Gastroenterology.

[23]  Yen-Wei Chen,et al.  A Morphologic Analysis of Cirrhotic Liver in CT Images , 2013, ICIAR.

[24]  Xiangrong Zhou,et al.  Improving the Classification of Cirrhotic Liver by using Texture Features , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[25]  William E. Lorensen,et al.  Marching cubes: A high resolution 3D surface construction algorithm , 1987, SIGGRAPH.

[26]  M. Colombo,et al.  Complications following percutaneous liver biopsy. A multicentre retrospective study on 68,276 biopsies. , 1986, Journal of hepatology.