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This study presents a computer-aided detection (CADe) system of hepatocellular carcinoma (HCC) using sequential forward floating selection (SFFS) method with linear discriminant analysis (LDA). We extracted morphologic and texture features from the segmented HCC candidate regions from the arterial phase (AP) images of the contrast-enhanced hepatic CT images. To select the most discriminatory features...
By taking the advantages of the Voronoi-based segmentation method in detecting the thin edges and the region growing segmentation method in segmenting regions more completely, we proposed a novel segmentation algorithm by combining the Voronoi diagrams and region growing to deal with the medical images in this paper. Firstly, the region growing segmentation algorithm is used to produce a rough partition,...
Skeleton has very important applications in objects expression, data compression, computer vision and animation. In the discrete space, the basic skeleton algorithms have two categories: one is thinning, the other is based on the distance transformation, in a high-dimensional space generated from the surface to form the ridge to create a skeleton. The skeleton which is based on the distance transform...
Independent component analysis (ICA) is a statistical technique where the goal is to represent a set of random variables as a linear transformation of statistically independent component variables. This paper proposes a new extended model for CT medical image de-noising, which is using independent component analysis and dynamic fuzzy theory. Firstly, a random matrix was produce to separate the CT...
Digital subtraction angiography (DSA) is a type of medical imaging technique which can eliminate the interferential background and give prominence to blood vessels by computer processing. By analyzing the characters of DSA medical image sequence, we find angiograms are taken by the same instrument in same scene at different time, so the DSA serial images are present different parts of blood vessels...
Dynamic fuzzy logic (DFL) is given to solve dynamic fuzzy data problems. Dynamic fuzzy data exists universally, especially in the domain of medical image processing performance evaluation. This paper proposes a new evaluation model for CT medical image de-noising, which is using wavelet transform and dynamic fuzzy logic. Firstly, the CT medical image was decomposed by wavelet transform to obtain the...
By analyzing the characters of CT medical image, this paper proposes a novel method for this particular image fusion, which is using discrete wavelet transform and independent component analysis. Firstly, each of CT images were decomposed by 2-D discrete wavelet transform. Then independent component analysis were used to analyse the wavelet coefficients in different level for acquiring independent...
Digital subtraction angiography (DSA) is a type of medical imaging technique used in interventional radiology, which can eliminate the interferential background and give prominence to blood vessels by computer processing. By analyzing the characteristics of DSA medical images, this paper proposes a new solution for this particular image de-noising, which is using improved soft thresholding. In order...
The visualization of medical volumetric data is an important area of scientific visualization. 3-D segmentation plays a critical role by facilitating automatic or semi-automatic extraction of the anatomical organ or region-of-interest. Segmentation s an important aspect of medical image processing, whose purpose is to extract the region of interest from the original images to provide a reliable basis...
Aiming at the failure of the distal locking in the computer assisted distal locking of intramedullary nails because of the intersection angle between the nail hole axis and the projection axis of the C-arm, a method of three-dimensional information estimation of the nail hole from two-dimensional X-ray image coordinates was proposed, basing on the perspective projection mode of the C-arm and the reduction...
Interpolation is indispensable in medical image processing. In this paper, a kind of morphology-based contour shape interpolation algorithm is proposed for CT images sequence, which makes good use of the characteristics of anatomical structures and volume relativity. Compared with the traditional interpolation algorithms, our new algorithm can improve visual effect, reduce interpolation error, and...
Most medical images are blurry for two reasons: one is that noise signal blurs the high frequency signal of image edge, the other one is the border of tumor with normal tissues cannot be very well defined on the images, therefore it is difficult for radiology experts to delineate image. It is necessary that an approach based on fuzzy inference fusion is used for coping with these difficulties. The...
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