DocumentCode :
1372266
Title :
Knowledge-Assisted Reconstruction of the Human Rib Cage and Lungs
Author :
Koehler, C. ; Wischgoll, T.
Author_Institution :
Wright State Univ., Dayton, OH, USA
Volume :
30
Issue :
1
fYear :
2010
Firstpage :
17
Lastpage :
29
Abstract :
Computer-aided disease detection software effectively helps medical professionals use PA (posterior-anterior) and lateral (side) x-ray images to detect diseases such as lung cancer at early stages, which can be quite difficult. Typically, such software focuses only on PA x-ray images and uses image-processing and soft-computation techniques to identify potentially diseased areas. There´s been little focus on extracting knowledge from the x-rays and using knowledge of human anatomy to generate 3D reconstructions. Such reconstructions could help the detection process by providing a different way of visualizing the x-ray data to better investigate hard-to-diagnose regions.
Keywords :
biology computing; data visualisation; image reconstruction; medical image processing; 3D reconstructions; X-ray data visualization; computer-aided disease detection software; human anatomy; human rib cage; image processing; knowledge-assisted reconstruction; lateral X-ray images; lung cancer; posterior-anterior X-ray images; soft-computation techniques; Biomedical imaging; Cancer detection; Data mining; Diseases; Humans; Image reconstruction; Lungs; X-ray detection; X-ray detectors; X-ray imaging; 3D reconstruction; computer graphics; graphics and multimedia; lung reconstruction; rib cage reconstruction; segmentation; x-ray;
fLanguage :
English
Journal_Title :
Computer Graphics and Applications, IEEE
Publisher :
ieee
ISSN :
0272-1716
Type :
jour
DOI :
10.1109/MCG.2010.12
Filename :
5370739
Link To Document :
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