Title :
Automatic detection of hilum and parenchymal bands on HRCT lung images
Author :
Rudrapatna, M. ; Sowmya, Arcot ; Wilson, P.
Author_Institution :
Sch. of Comput. Sci. & Eng., New South Wales Univ., Sydney, NSW
Abstract :
High-resolution computed tomography (HRCT) images have been found to be more sensitive than chest radiographs and conventional CT in diffuse lung disease diagnosis. Parenchymal bands are a type of reticular opacity commonly seen in patients with asbestosis. We have developed automated techniques to detect parenchymal bands on HRCT images of the lung that can help reduce the amount of data radiologists must process to arrive at a diagnosis. This technique also includes detection of the hilum an anatomical landmark, which is essential to parenchymal band detection. Preliminary results are presented
Keywords :
computerised tomography; diseases; lung; medical image processing; asbestosis; computer aided diagnosis; diffuse lung disease diagnosis; high-resolution computed tomography; hilum detection; lung image; parenchymal band detection; reticular opacity; Australia; Biomedical engineering; Biomedical imaging; Computed tomography; Computer science; Coronary arteriosclerosis; Diseases; Image processing; Image segmentation; Lungs;
Conference_Titel :
Cybernetics and Intelligent Systems, 2004 IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
0-7803-8643-4
DOI :
10.1109/ICCIS.2004.1460685