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Image registrationis a preliminary component in medical image analysis, which can significantly improve radiologists' performance in detecting and characterizing the lesion. In this paper, we propose an efficient feature-based non-rigid registration approach for multiphase liver CT images. The proposed method begins with extracting corners and edges simultaneously from reference and floating images...
Liver segmentation is a prerequisite for liver cancer CAD, and the result of it affects the accuracy rate of feature extraction and recognition of liver cancer directly. Euclidean distance transformation is one of the main methods in medical image segmentation. However, simply using Euclidean distance transformation will lead to some problems, such as over-segmentation and excessively high cost of...
This paper presents a new approach to eliminate false positive lung cancers based on state variance, according to the variance of morphologic features between adjacent CT slices. First, the regions of interest (ROI) in CT images are selected by dual fast marching method, and the morphologic features of ROI like area and centroid are extracted; then, the layer features are extracted with morphologic...
A major problem of pulmonary nodules segmentation can't be solved well by conventional methods, which is other tissue in chest CT image slices, such as blood vessels and bronchi, often overlap with the nodules and they also have the same gray scale intensity approximately, for big size (>40pixels) nodules especially. This paper presents a novel approach to solve above problem, which works in two...
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