Title
Benefits of texture analysis of dual energy CT for Computer-Aided pulmonary embolism detection.
Abstract
Pulmonary embolism is an avoidable cause of death if treated immediately but delays in diagnosis and treatment lead to an increased risk. Computer-assisted image analysis of both unenhanced and contrast-enhanced computed tomography (CT) have proven useful for diagnosis of pulmonary embolism. Dual energy CT provides additional information over the standard single energy scan by generating four-dimensional (4D) data, in our case with 11 energy levels in 3D. In this paper a 4D texture analysis method capable of detecting pulmonary embolism in dual energy CT is presented. The method uses wavelet-based visual words together with an automatic geodesic-based region of interest detection algorithm to characterize the texture properties of each lung lobe. Results show an increase in performance with respect to the single energy CT analysis, as well as an accuracy gain compared to preliminary work on a small dataset.
Year
DOI
Venue
2013
10.1109/EMBC.2013.6610415
EMBC
Keywords
Field
DocType
4d texture analysis method,standard single energy scan,pulmonary embolism diagnosis,energy levels,computerised tomography,diseases,4d image analysis,wavelet transforms,single energy ct analysis,computer-assisted image analysis,visual words,lung,texture analysis,contrast-enhanced computed tomography,computer-aided pulmonary embolism detection,pulmonary embolism,image texture,automatic geodesic-based region of interest detection algorithm,computer aided analysis,wavelet-based visual words,lung lobe,medical image processing,dual energy ct,four-dimensional data,radiology,energy states,computed tomography,accuracy,visualization
Computer vision,Pulmonary embolism,Lung,Image texture,Computer-aided,Computer science,Artificial intelligence,Region of interest,Radiology,Wavelet transform,Wavelet,Visual Word
Conference
Volume
ISSN
Citations 
2013
1557-170X
3
PageRank 
References 
Authors
0.57
5
6