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Computer-aided diagnosis (CAD) systems have been verified to have the potential to assist radiologists in clinical diagnosis to detect and characterize focal liver lesions (FLLs) based on single- or multiphase contrast-enhanced computed tomography (CT) images. Features extracted from multiphase contrast-enhanced CT images carry more important diagnostic information i.e. enhancement pattern and demonstrate...
Content-based image retrieval (CBIR) technique for digital image searching has been applied in medical images which are called content-based medical image retrieval (CBMIR). In this paper, we combine texture, density and shape features for CBMIR based on 3D multi-phase contrast enhanced CT images according to radiologists' clinical experience. And a database of 132 focal liver lesions (FLLs) with...
A fast component-counting algorithm is proposed based on graph theory in this paper. We derived a formulation to count faces in a plane given only the vertices based on Euler polyhedron formula. Vertices with degree no more than two are ineffective in counting components. With the derived formula, a graph component counting algorithm is constructed based only on searching cross points whose degree...
The automatic inspection of throw-away tips is very important for quality control in precision cutting. We proposed an image processing based method for automatic inspection of the processing wear of throw-away tips. Our proposed method utilized principal component analysis as a preprocessing to reduce the noise and enhance the contrast of the cutting wear region with the background region. Then the...
Recent year, with the increasing of unhealthy diets which will threaten people's life due to the various resulted risks such as heart stroke, liver trouble and so on, the maintaining for healthy life has attracted much attention and then how to manage the dietary life is becoming more and more important. In this research, we aim to construct an auto-recognition system of food images and keep the daily...
Cirrhosis liver is a terrible disease which is threatening our lives. Meanwhile, cirrhosis will cause significant hepatic morphological changes. While it is well known that the livers from different subjects have similar global shape structure which means liver shape ensemble should be low-rank. However the deformation which caused by cirrhosis can be considered as sparse compared with the whole liver...
The assessment of the treated margin with locoregional therapy (LT), for hepatocellular carcinoma (HCC), is the common method for predicting HCC recurrence in most hospital. However, tumors sometimes cannot be removed clearly with LT in limited conditions. The therapeutic efficiency of HCC is often evaluated by comparing 2D fusion images of computed tomography (CT) or magnetic resonance imaging (MRI)...
The trait anxiety degree is a significant standard to measure the psychological status, and the measurement (score) of trait anxiety degree is generally obtained by a very complex text questionnaire, which usually takes large amount of time and is subjectively various according to environmental condition. On the other hand, the researches in psychological field have proven that personality recognition...
We propose a multilinear independent component analysis (ICA) framework called generalized N-dimensional ICA (GND-ICA) by extending the conventional linear ICA based on the multilinear algebra. Unlike the linear ICA that only treats one-dimensional data, the proposed GND-ICA treats N-dimensional data as a tensor without any preprocess of data vectorization. We furthermore introduce two types of GND-ICA...
In the field of medical image analysis, the three-dimensional (3-D) shape representation and modeling of anatomic structures using only a few parameters is an important issue, and can be applied to computer assisted diagnosis, surgical simulations, visualization, and many other medical applications. In this paper, we show that the 3D anatomical structure such as the liver can be represented by a few...
This paper presents a method for robust watermarking of medical image using DFT. A feature vector of the medical image is utilized to enhance the robustness against rotation, scaling, and translation. The proposed algorithm utilizes the medical image's feature, Hash function, the third party authentication. We describe how to obtain the feature vector of medical image and embed and extract the watermarking...
Linear coding is used for finding succinct representations of data sets. It also discover basis functions that capture higher-level features in the data. However, finding linear codes for multi-dimensional data remains a very difficult computational problem. Motivated by the work of linear image coding and multilinear algebra, we propose a linear tensor coding algorithm (LTC), which is applied to...
This paper proposes a framework of tensor-based ICA method for N-dimensional data analysis, which is called generalized N-dimensional ICA (GND-ICA). The proposed GND-ICA is based on multilinear algebra that treats N-dimensional data as a tensor without any unfolding preprocess. As an application, the GND-ICA can be used for multiple feature fusion and representation for color image classification...
In medical imaging research, the three-dimensional (3-D) shape representation and analysis of anatomic structures using only a few parameters is an important issues, and can be applied to computer assisted diagnosis, surgical simulations, visualization, and many other medical applications. This paper proposes the representation of the shape surfaces of a simply connected 3-D object using spherical...
Successful liver surgery requires a clear understanding of the differences in liver shapes and vessel distribution in different individuals. Furthermore, in clinical medicine, there is a high demand for surgical assistance systems for individual patients. Therefore, we aim to segment the liver on the basis of the CT volume data, semi-automatically extract the vessels from the segmented livers and...
Medical images must be stored in a secure way to preserve unauthorized disclosure of patient data. This paper proposes an algorithm of robust multiple watermarks to serve these purposes using DWT and DFT. A part of sign sequence of DWT and DFT coefficients are used as feature vector for enhancing the robustness against rotation attacks, scaling attacks, translation attacks and cropping attacks. Moreover,...
This paper proposes an adaptive color independent components based SIFT descriptor (termed CIC-SIFT) for image classification. Our motivation is to seek an adaptive and efficient color space for color SIFT feature extraction. Our work has two key contributions. First, based on independent component analysis (ICA), an adaptive and efficient color space is proposed for color image representation. Second,...
Image category recognition is important to access visual information on the level of objects and scene types. This paper presents an automatic recognition system of scene and object with PCA-SICEF feature for digital color images. SICEF (scale-invariant color and edge feature) is an extension of the conventional local SIFT (scale-invariant feature transform) feature, which only include edge invariance...
This article focuses on the complex dynamic relation of development system for urban cluster, which has analyzed the Guanzhong urban cluster space polar nucleus structure and the evolved characteristic. According to the analysis the article has established the systems dynamics model for Guanzhong urban cluster spatial structure evolution development, and it has carried on the simulation examination...
It is important to enhance and detect nodules in CT images in order to identify the lung cancer at early stage. Nodules which are included in medical image generally have multiple size and scale, and have blob-like structure. Recently, 3D multiscale filter approach is proposed for lung nodules detection. However, the 3D method take too much computing time to be applicable in real diagnose systems...
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