DocumentCode :
3037354
Title :
Fuzzy representative line tracking algorithm for enhancing 3-D MR cholangiography images
Author :
Kobashi, Syoji ; Kondo, Katsuya ; Hata, Yutaka
Author_Institution :
Div. of Comput. Eng., Himeji Inst. of Technol., Japan
fYear :
2003
fDate :
20-22 Oct. 2003
Firstpage :
134
Lastpage :
135
Abstract :
This study introduces a novel method for enhancing MR cholangiography (MR-C) images based on representative line finding algorithm. The method enhances the images using the representative line (RL) of the pancreatic duct. The RL is tracked by finding the most suitable direction that is decided by means of fuzzy inference techniques. The tracking performance was evaluated by computer simulation, and by applying our method to MR-C images of tube-formed phantoms. The results showed that the proposed method could correctly find the RL of the objects. The diameters of the tube-formed phantoms were estimated with high accuracy. Then, the proposed method was applied to enhance MR-C images of four normal volunteers and one patient. In all cases, the pancreatic duct was enhanced clearly.
Keywords :
biological organs; biomedical MRI; fuzzy logic; image enhancement; inference mechanisms; medical image processing; phantoms; tracking; 3-D MR cholangiography images; computer simulation; fuzzy algorithm; fuzzy inference techniques; pancreatic duct; representative line tracking algorithm; tracking performance; tube-formed phantoms; Active shape model; Biomedical imaging; Diseases; Ducts; Image segmentation; Imaging phantoms; Magnetic resonance imaging; Pancreas; Plastics; Shape control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering, 2003. IEEE EMBS Asian-Pacific Conference on
Print_ISBN :
0-7803-7943-8
Type :
conf
DOI :
10.1109/APBME.2003.1302620
Filename :
1302620
Link To Document :
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