DocumentCode :
2976880
Title :
Modeling of airway in 4D lung CT images
Author :
Rasheed, Z. ; Magee, Derek
Author_Institution :
Univ. of Leeds, Leeds, UK
fYear :
2012
fDate :
22-23 Oct. 2012
Firstpage :
187
Lastpage :
194
Abstract :
Lung cancer is a disease that consists of uncontrolled cell growth in tissues of the lungs. There are a number of different treatment options available for lung cancer. Radiation therapy is a process in which high energy radiation is applied to kill cancer cells and shrink tumors. A treatment plan of patient is developed before radiation therapy in which the clinician spent a lot of time on manually marking the airways on the CT scan images so that airways can be protected while doing the radiotherapy. Work in this paper is a step towards automating the airway segmentation.
Keywords :
cancer; computerised tomography; image segmentation; lung; medical image processing; principal component analysis; radiation therapy; tumours; 4D lung CT images; Radiation therapy; airway segmentation; cancer cells; high energy radiation; lung cancer; patient treatment; principal component analysis; tissues; tumors; uncontrolled cell growth; Atmospheric modeling; Computed tomography; Image segmentation; Lungs; Shape; Solid modeling; Training; Dynamic programming; Image Segmentation; Lung cancer; Point distribution model; Principal component analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Artificial Intelligence (ICRAI), 2012 International Conference on
Conference_Location :
Rawalpindi
Print_ISBN :
978-1-4673-4884-3
Type :
conf
DOI :
10.1109/ICRAI.2012.6413397
Filename :
6413397
Link To Document :
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