DocumentCode
1588614
Title
Computer Assisted Solitary Pulmonary Nodules Morphological Enhancement Characteristics - A preliminary study
Author
Tan, Yongqiang ; Wang, Mingpeng ; Zhang, Chenghao ; Zhang, Guozhen ; Yang, Jianying ; Zhang, Jianguo
Author_Institution
Shanghai Inst. for Tech. Phys., Chinese Acad. of Sci., Beijing
fYear
2006
Firstpage
6422
Lastpage
6424
Abstract
The quantity analysis on solitary pulmonary nodules (SPN) is very important for pulmonary disease diagnosis and prediction, especially, in the early phase or small sizes. Due to the breathing activity of patients, the SPN region is translated and deformed after the injection of bolus so that it is hard to obtain the exact enhancement patterns. In this presentation, we give an approach to combine plain CT images and enhanced CT images to assist the radiologists in SPN diagnosis or prediction. First we segmented SPN region in both the plain image and the enhanced image, then rigid and deformable registration method were carried out to match the enhanced SPN region to the plain SPN region, then we subtracted the SPN region from the enhanced SPN region to show the enhancement, finally we correlated the enhancement characteristics with corresponding diagnosis results
Keywords
computerised tomography; diseases; image registration; image segmentation; medical image processing; pneumodynamics; bolus; breathing; computer assisted solitary pulmonary nodules morphological enhancement; deformable registration; enhanced CT images; image segmentation; plain CT images; pulmonary disease diagnosis; rigid registration; Biomedical imaging; Biomedical informatics; Computed tomography; Hospitals; Image segmentation; Medical diagnostic imaging; Physics; Picture archiving and communication systems; Pixel; Radiology;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/IEMBS.2005.1615968
Filename
1615968
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