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A new computer-aided detection (CAD) scheme for detecting lung nodules is proposed in this paper. Firstly, the lung region is segmented from the CT data using adaptive threshold algorithm etc; Secondly, building active contour model to segment and remove lung vessel accurately in the lung region; Next, suspicious nodules are detected and omitted renal vessel is filtered using a selective shape filter;...
Lobewise analysis of the pulmonary parenchyma is of clinical relevance for diagnosing and monitoring pathologies. In this work, a fully automatic lobe segmentation approach is presented, which is based on a previously proposed watershed transformation approach. The proposed extension explicitly considers the pulmonary fissures by including them in the cost image for the watershed segmentation. The...
Accurate segmentation of lung texture tree is an essential step for diagnosing pulmonary diseases, including pulmonary emboli and nodules detection, which provides powerful information for research of automatic computer-aided diagnostic (CAD) systems. It still remains a challenging problem because of partial volume effects, high density airway walls and no difference on CT values between arteries...
The following topics are dealt with: vascular image analysis; brain imaging and analysis; biological imaging and analysis; cancer imaging and analysis; computer aided diagnosis; ultrasound imaging and analysis; image registration; shape modeling and analysis; cardiac imaging and analysis; lung image segmentation; high-field clinical MRI; cellular and molecular image analysis; tracking and motion analysis;...
A system for the automatic segmentation of the pulmonary vasculature in thoracic CT scans is presented. The method is based on a vesselness filter and includes a local thresholding procedure to accurately segment vessels of varying diameters. The output of an automatic segmentation of the airways is used to remove false positive detections in the airway walls. The algorithm is tested with a quantitative...
In diagnosing lung diseases, the structure and shape of airways in lungs are of great importance. In this paper we propose a novel method for segmenting low-contrast 3-D CTA images of airways in lungs. Our approach is an edge-detecting slice-by-slice segmentation method, capable of segmenting low contrasted airway regions. Our segmentation using projections method shows robustness in images with high...
Identification and characterization of diffuse parenchyma lung disease patterns challenges computer aided diagnosis (CAD) schemes in computed tomography (CT). Accuracy of these preprocessing stages is expected to influence the accuracy of lung CAD schemes. Although algorithms aimed at improving the accuracy of segmentation of lung fields in presence of DPLDs have been reported, the corresponding vessel...
The accurate segmentation of pulmonary nodules lays the foundation for distinguishing malignant from benign pulmonary nodules. In this paper, a robust and automatic algorithm is proposed to segment lung nodules slice-by-slice in three dimensional (3D) Computed Tomography (CT) images. A nonparametric estimation method called Mean-Shift (MS) algorithm was applied to segmenting lung nodules. It is critical...
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...
Delineation and reconstruction of vascular structures in medical images are critical for the diagnosis of various vascular diseases and related surgical procedures. In this paper, we present a novel method for vascular structure segmentation with fully automatic detection of bifurcation points. First, we perform a preselection of tubular objects and trace the vessels based on the eigenanalysis of...
This short article summarizes the use of current CT image data for a comprehensive assessment of pulmonary structure and function. It identifies the need for the development of highly automated methods and techniques allowing quantitative analysis of lungs, lung lobes, airway trees, and pulmonary parenchyma. Such analyses serve as the stepping stones for more sophisticated computer-aided detection...
The following topics are dealt: time-frequency analysis; functional magnetic resonance imaging; cancer drug delivery; glucose sensor and diabetics control; neural computing; EEG; biomechanics; biomedical information network; health care environment; optical coherence tomography; medical diagnostics device; image-guided surgery; radiation therapy; laparoscopy; circadian rhythms; rehabilitation techniques;...
An approach for the 3D segmentation and reconstruction of human left coronary arteries using angio-CT images is presented in This work. Each voxel in the 3D dataset is assumed to belong to one of the three homogeneous regions: blood, myocardium, and lung. A priori knowledge of the regions is introduced via Bayes' rule. Posterior probabilities obtained using Bayes' rule are anisotropically smoothed,...
The authors present a computerized system for reconstructing the 3-D structures of pulmonary blood vessels from a set of X-ray CT images. The system uses a knowledge base in which anatomical knowledge and general rules concerning the way blood vessels extend are acquired. Others have already done some work on the automatic 3-D reconstruction of organs, but the authors have been analyzing ordinary...
Methods are proposed that allow the 3-D pulmonary structure to be reconstructed by automatic segmentation and analysis of pulmonary blood vessels with 1-cm thickness in chest X-ray CT images. Techniques are fully described for enhancement of the edges in a set of CT images and measurement of the line width in binary images. The results suggest that the segmented blood vessels are accurately extracted...
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