Result: Smoothing segmented lung boundary in chest CT images using scan line search

Title:
Smoothing segmented lung boundary in chest CT images using scan line search
Authors:
YIM, Yeny, HONG, Helen
Source:
Progress in pattern recognition, image analysis and applications (11th Iberoamerican congress in pattern recognition, CIARP 2006, Cancun, Mexico, November 14-17, 2006)0CIARP 2006. :147-156
Publisher Information:
Berlin; Heidelberg; New York: Springer, 2006.
Publication Year:
2006
Physical Description:
print, 12 ref 1
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Intelligence artificielle, Artificial intelligence, Reconnaissance des formes. Traitement numérique des images. Géométrie algorithmique, Pattern recognition. Digital image processing. Computational geometry, Algorithme recherche, Search algorithm, Algoritmo búsqueda, Appareil respiratoire, Respiratory system, Aparato respiratorio, Courbure, Curvature, Curvatura, Homme, Human, Hombre, Image niveau gris, Grey level image, Imagen nivel gris, Lissage, Smoothing, Alisamiento, Pistage, Tracking, Rastreo, Poumon, Lung, Pulmón, Recherche image, Image retrieval, Reconnaissance forme, Pattern recognition, Reconocimiento patrón, Segmentation, Segmentación, Tomographie numérique, Computerized tomography, Traitement image, Image processing, Procesamiento imagen
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
School of Computer Science and Engineering, Seoul National Univ., San 56-1, Shinlim-dong, Kwanakgu, Seoul 151-742, Korea, Republic of
Division of Multimedia Engineering, College of Information and Media, Seoul Woman's Univ., 126 Gongreung-dong, Nowon-gu, Seoul 139-774, Korea, Republic of
ISSN:
0302-9743
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=19078947
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.19078947
Database:
PASCAL Archive

Further Information

To smooth lung boundary segmented by gray-level processing in chest CT images, we propose a new method using scan line search. Our method consists of three main steps. First, lung boundary is extracted by our automatic segmentation method. Second, segmented lung contour is smoothed in each axial CT slice. Scan line search is proposed to track the points on lung contour and find rapidly changing curvature without conventional contour tracking. 2D closing in axial CT slice is applied to reduce the number of rapidly changing curvature points. Finally, to provide consistent appearance between lung contours in neighboring axial slices, 2D closing in coronal CT slice is applied within pre-defined subvolume. Experimental results show that the smoothness of lung contour considerably increased after applying proposed method.