Title :
Study of computed tomography images of the lungs: A survey
Author :
Devaki, K. ; Muralibhaskaran, V.
Author_Institution :
Dept. of Comput. Sci. Eng., Paavai Coll. of Eng., Pachal, India
Abstract :
Computed tomography (CT) technology helps us to acquire high resolution, isotropic images of the lungs in a single breath hold. Analysis of these large volumes of data manually is very time consuming and tedious. Automation of analysis of the CT images is therefore vital in the study of CT images. This paper reviews the literature on computer analysis of the lungs in CT scans addressing segmentation of various lungs anatomical structures and works on detection and quantification of chest abnormalities.
Keywords :
computerised tomography; image segmentation; lung; medical image processing; chest abnormalities detection; chest abnormalities quantification; computed tomography images; isotropic images; lungs anatomical structure segmentation; Accuracy; Cancer; Computed tomography; Diseases; Image segmentation; Lungs; Sensitivity; Computed tomography; chest abnormalities and nodules; literature review; segmentation;
Conference_Titel :
Recent Trends in Information Technology (ICRTIT), 2011 International Conference on
Conference_Location :
Chennai, Tamil Nadu
Print_ISBN :
978-1-4577-0588-5
DOI :
10.1109/ICRTIT.2011.5972308
