Title :
Small-size lung nodule modeling and detection with clinical evaluation
Author :
Farag, Aly ; Graham, James ; Abdelmunim, Hossam ; Elshazly, Salwa ; Ei-Mogy, M. ; Ei-Mogy, S. ; Falk, Robert ; Farag, A.A.
Author_Institution :
Comput. Vision & Image Process. Lab. (CVIP Lab.), Univ. of Louisville, Louisville, KY, USA
Abstract :
In this paper examination of the template modeling process using the Active Appearance Modeling (AAM) approach for automatic detection of lung nodules is investigated. A template matching approach is formulated to compute a similarity score between the AAM templates and the input lung CT slice, where the goal is to maximize the similarity measure at different image pixels to increase nodule detection. The template matching approach is implemented using nine similarity measures. Performance validation for the robustness of the generated models is tested on three clinical databases.
Keywords :
computerised tomography; image matching; lung; medical image processing; pneumodynamics; AAM approach; active appearance modeling approach; automatic detection; clinical evaluation; image pixels; lung CT slice; lung detection; nodule detection; performance validation; similarity score; small-size lung nodule modeling; template matching approach; template modeling process; Computational modeling; Computed tomography; Databases; Lungs; Principal component analysis; Solid modeling; Data-driven; Lung nodule modeling; nodule detection;
Conference_Titel :
Biomedical Engineering Conference (CIBEC), 2012 Cairo International
Conference_Location :
Giza
Print_ISBN :
978-1-4673-2800-5
DOI :
10.1109/CIBEC.2012.6473332
