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This paper evaluated the performance of two-dimensional (2D) and 3D texture features from CT images on pulmonary nodules diagnosis using the large database LIDC-IDRI. Total of 905 nodules (422 malignant and 483 benign) with certain expert observer ratings of malignancy were extracted from the database based on the radiologists' painting boundaries. Feature analysis on the extracted nodules was not...
PET and CT image registration is an important tool of clinical diagnosis of diseases. For PET and CT images, a preprocessing algorithm of medical image registration is proposed in this paper. The algorithm process includes image normalization, CT image adaptive threshold adjustment and automatic extraction of tissues based on morphology, edge detection and statistical analysis theory, and improved...
PET and CT image registration is an important tool of clinical diagnosis of diseases. For PET and CT images, a preprocessing algorithm of medical image registration is proposed in this paper. The algorithm process includes image normalization, CT image adaptive threshold adjustment and automatic extraction of tissues based on morphology, edge detection and statistical analysis theory, and improved...
This paper presents a new lung segmentation algorithm which is based on anatomical knowledge and Snake model. This algorithm totally overcomes the disadvantage of traditional lung segmentation algorithms, which are mainly based on edge extraction, mathematical morphology, region growing, threshold, etc.; and can't get satisfied results when segmenting pathological clinical CT images with traditional...
The computer-assisted methods for measuring and tracking nodule volumes have the potential to improve precision for indicating of malignancy for indeterminate nodules. In this paper, we propose a semi-automatic geometric solitary pulmonary nodule (SPN) volume measurement algorithm for calculating the precise volume of indeterminate SPNs with low-dose CT (LDCT) images. The algorithm divided the SPN...
In this paper, an interactive lung parenchyma segmentation algorithm is put forward with improved Live-Wire model, Snake model and contour interpolation, which takes full advantage of lung contours' slow change in adjacent CT image layers and operators' professional knowledge. Firstly, we manually select key slices of lung parenchyma in serial CT images, then draw the lung's contours in key slices...
Image contrast enhancement is a very critical step for automatic medical image processing and analyzing applications. In this paper, we described a novel image enhancement algorithm based on the single-scale Retinex (SSR) theory to enhance the tiny anatomical structures and other regions of interest on the Low-dose CT ??LDCT?? images. This algorithm applies a three-stage approach: (a) separating the...
Image contrast enhancement is a very critical step for automatic medical image processing and analyzing applications. In this paper, we described a novel image enhancement algorithm based on the single-scale Retinex (SSR) theory to enhance the tiny anatomical structures and other regions of interest on the low-dose CT (LDCT) images. This algorithm applies a three-stage approach: (a) separating the...
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