8 Result(s)
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Chapter
Sparse Modeling in Analysis for Multidisciplinary Medical Data
Multi-phase CT images, which is also known as dynamic CT images, are widely used for the diagnosis of focal liver lesions. In addition to 3-dimensional spatial information, the multi-phase CT image also has te...
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Article
Reducing reconstruction error of classified textural patches by integration of random forests and coupled dictionary nonlinear regressors: with applications to super-resolution of abdominal CT images
Random forests and dictionary-based statistical regressions have common characteristics, including non-linear map** and supervised learning. To reduce the reconstruction error of high-resolution images, we i...
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Article
Texture-specific bag of visual words model and spatial cone matching-based method for the retrieval of focal liver lesions using multiphase contrast-enhanced CT images
The bag of visual words (BoVW) model is a powerful tool for feature representation that can integrate various handcrafted features like intensity, texture, and spatial information. In this paper, we propose a ...
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Article
Improved segmentation of low-contrast lesions using sigmoid edge model
The intensity profile of an image in the vicinity of a tissue’s boundary is modeled by a step/ramp function. However, this assumption does not hold in cases of low-contrast images, heterogeneous tissue texture...
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Article
Capturing large shape variations of liver using population-based statistical shape models
Statistical shape models (SSMs) represent morphological variations of a specific object. When there are large shape variations, the shape parameters constitute a large space that may include incorrect paramete...
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Chapter and Conference Paper
Utilizing Disease-Specific Organ Shape Components for Disease Discrimination: Application to Discrimination of Chronic Liver Disease from CT Data
We describe a method to capture disease-specific components in organ shapes. A statistical shape model, constructed by the principal component analysis (PCA) of organ shapes, is used to define the subspace rep...
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Chapter and Conference Paper
Automated Segmentation of the Liver from 3D CT Images Using Probabilistic Atlas and Multi-level Statistical Shape Model
An atlas-based automated liver segmentation method from 3D CT images is described. The method utilizes two types of atlases, that is, the probabilistic atlas (PA) and statistical shape model (SSM). Voxel-based...
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Chapter and Conference Paper
MR-CT Image Registration in Liver Cancer Treatment with an Open Configuration MR Scanner
MR – CT image registration has been used in the liver cancer treatment with an open MR Scanner to guide percutaneous puncture for ablation of tumors. Due to low magnetic field and limited acquisition time, MR ...
