Title :
Tumor Detection using Airways Asymmetry
Author :
Mancas, Matei ; Gosselin, Bernard ; Macq, Benoit
Author_Institution :
TCTS Lab, Faculte Polytech de Mons
Abstract :
A novel tumor detection technique on CT scan images of the neck area is detailed in this paper. This technique is based on an airways´ symmetry evolution within slices. The algorithm proposes to the physician a set of three slices where a tumor (if it exists) should mostly be located. Then, he will just have to browse the three slices instead of almost 100 in a CT scan. Our method is very effective and shows no false alarms within the patients in our database. In each of our tests the tumors were found to be close to one of the three proposed slices
Keywords :
computerised tomography; tumours; CT scan images; airways asymmetry; neck; symmetry evolution; tumor detection; Computed tomography; Earth; Gravity; Head; Humans; Image databases; Neck; Neoplasms; Testing; Tumors; abnormalities detection; asymmetry; bilateral symmetry; neck CT Scan images; tumor detection;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1615995
