Title :
Gradient vector flow based active shape model for lung field segmentation in chest radiographs
Author :
Xu, Tao ; Mandal, Mrinal ; Long, Richard ; Basu, Anup
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada
Abstract :
Accurate lung field segmentation is crucial to computer-aided diagnosis (CAD) of lung diseases such as lung cancer and tuberculosis (TB). In this paper, we propose a modified gradient vector flow based active shape model (GVF-ASM) for lung field extraction from chest radiographs. Experimental results show that the proposed technique provides around 3-5% improvement over the ASM techniques.
Keywords :
cancer; diagnostic radiography; image segmentation; lung; medical image processing; chest radiographs; gradient vector flow based active shape model; lung cancer; lung diseases; lung field extraction; lung field segmentation; tuberculosis; Algorithms; Artificial Intelligence; Computer Graphics; Diagnosis, Computer-Assisted; Humans; Image Processing, Computer-Assisted; Imaging, Three-Dimensional; Lung; Lung Neoplasms; Models, Anatomic; Pattern Recognition, Automated; Radiography, Thoracic; Software; Tuberculosis, Pulmonary;
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2009.5334886
