Determination of lung segments in computed tomography images using the Euclidean distance to the pulmonary artery

2013 ◽  
Vol 40 (9) ◽  
pp. 091912 ◽  
Author(s):  
Christina Stoecker ◽  
Stefan Welter ◽  
Jan H. Moltz ◽  
Bianca Lassen ◽  
Jan-Martin Kuhnigk ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Pulmonary Artery ◽  
Euclidean Distance ◽  
Computed Tomography Images

scholarly journals Mathematical Determination of the Tibial Insertion of the Patellar Tendon Using Computed Tomography Images

1995 ◽  
Vol 1 (4) ◽  
pp. 226-236
Author(s):  
Guillaume Champleboux ◽  
Remi Julliard ◽  
Philippe Cinquin ◽  
Line Gaborit
Keyword(s):  
Computed Tomography ◽  
Patellar Tendon ◽  
Tibial Insertion ◽  
Computed Tomography Images

Computed Tomography Brain Images Semantic Segmentation

2017 ◽  
pp. 77-104
Author(s):  
Poonam Fauzdar ◽  
Sarvesh Kumar
Keyword(s):  
Computed Tomography ◽  
Positive Predictive Value ◽  
Euclidean Distance ◽  
Global Analysis ◽  
Semantic Segmentation ◽  
Brain Images ◽  
Minimum Euclidean Distance ◽  
Computed Tomography Images ◽  
Multi Level ◽  
Reduced Time

In this paper we applianced an approach for segmenting brain tumour regions in a computed tomography images by proposing a multi-level fuzzy technique with quantization and minimum computed Euclidean distance applied to morphologically divided skull part. Since the edges identified with closed contours and further improved by adding minimum Euclidean distance, that is why the numerous results that are analyzed are very assuring and algorithm poses following advantages like less cost, global analysis of image, reduced time, more specificity and positive predictive value.

Detection of tracer particles in tomography images for analysis of gravitational flow in silo

2013 ◽  
Vol 18 (2-3) ◽  
pp. 11-22 ◽  
Author(s):  
Krzysztof Grudzień ◽  
Manuel Hernandez De La Torre Gonzalez
Keyword(s):  
Computed Tomography ◽  
Bulk Material ◽  
Two Dimensional ◽  
Radiographic Images ◽  
X Ray ◽  
3D Tomography ◽  
Gravitational Flow ◽  
Computed Tomography Images ◽  
Tracer Particles

Abstract This paper presents a method for the investigations of the gravity flow of granular materials based on the analysis of CT images. The system of X-ray tomography allows to visualize the distribution of bulk material inside the silo model. The images of the distribution of the concentration of the material, both in the form of 3D tomography images and 2D radiographic images, allow to track the behaviour of the material during the silo discharging process. Application of image processing and analysis provides an in-depth tool for investigation of the flow. The proposed, in the paper, methodology of the tracer particles allow to track the particles position changes during the gravitational flow in silo. The determination of tracer particles position is based on the vision information stored in volumetric computed tomography images and two-dimensional radiography.

scholarly journals Lung Volume Determination by Dual-source Computed Tomography in Infants with Pulmonary Artery Sling

2021 ◽  
Author(s):  
Hao Yang ◽  
Wen Bing ◽  
Qiuyi Cai ◽  
Jianlin Li ◽  
Liangbo Hu
Keyword(s):  
Computed Tomography ◽  
Pulmonary Artery ◽  
Tracheal Stenosis ◽  
Lung Volume ◽  
Left Lung ◽  
Pulmonary Artery Sling ◽  
Lung Volumes ◽  
Computed Tomography Images ◽  
Dual Source ◽  
Dual Source Computed Tomography

Background: Pulmonary artery sling (PAS) is associated with tracheal stenosis and left pulmonary artery (LPA) dysplasia in infants, which may cause pulmonary dysplasia and lung volume variations. We aimed to assess these altered lung volumes in patients with PAS using dual-source computed tomography (DSCT). Methods: We retrospectively enrolled patients with surgically confirmed PAS and compared them with matched normal controls. All participants underwent DSCT examination. We measured and compared the diameters of the trachea, main bronchus and main pulmonary artery (MPA) and its branches and both lung volumes on axial and reconstructed computed tomography images. Results: There were no statistical differences in the diameters of MPA or right pulmonary artery between patients and controls. The diameters of the stenosed trachea , left and right main bronchi and LPA were smaller in the PAS group than in the control group (p < 0.001) , and significant differences were evident in the left lung volume (p < 0.001), right lung volume (p = 0.008) and the right-to-left lung volume ratio (p = 0.004) between the two groups. Pearson’s correlation and linear regression analyses between the diameters of the trachea and MPA, total lung volume, ipsilateral bronchial and pulmonary artery branches and ipsilateral lung volume ranged from 0.71 to 0.87 (p < 0.001) and 0.57 to 0.77 (p < 0.05) for the control and PAS groups, respectively. Conclusions: Lung development is disordered in patients with PAS, which causes not only tracheal stenosis and LPA dysplasia but also dysplasia of both lungs.

scholarly journals Method for determination of root curvature radius using cone-beam computed tomography images

2008 ◽  
Vol 19 (2) ◽  
pp. 114-118 ◽  
Author(s):  
Carlos Estrela ◽  
Mike Reis Bueno ◽  
Manoel Damião Sousa-Neto ◽  
Jesus Djalma Pécora
Keyword(s):  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Root Canal ◽  
False Negative ◽  
Cone Beam ◽  
Curvature Radius ◽  
Negative Results ◽  
Computed Tomography Images ◽  
Root Curvature

This article describes and discusses a method to determine root curvature radius by using cone-beam computed tomography (CBCT). The severity of root canal curvature is essential to select instrument and instrumentation technique. The diagnosis and planning of root canal treatment have traditionally been made based on periapical radiography. However, the higher accuracy of CBCT images to identify anatomic and pathologic alterations compared to panoramic and periapical radiographs has been shown to reduce the incidence of false-negative results. In high-resolution images, the measurement of root curvature radius can be obtained by circumcenter. Based on 3 mathematical points determined with the working tools of Planimp® software, it is possible to calculate root curvature radius in both apical and coronal directions. The CBCT-aided method for determination of root curvature radius presented in this article is easy to perform, reproducible and allows a more reliable and predictable endodontic planning, which reflects directly on a more efficacious preparation of curved root canals.

Sign in / Sign up

Export Citation Format

Share Document