Abstract
In this study a modified Live-Wire approach is presented. A Fuzzy C-Means (FCM) clustering procedure has been implemented before the wavelet transform cost map function is defined. This shrinks the area to be searched resulting in a significant reduction of the computational complexity. The method has been employed to computed tomography (CT) and magnetic resonance (MR) studies. The 2D segmentation of lungs, abdominal structures and knee joint has been performed in order to evaluate the method. Significant numerical complexity reduction of the Live-Wire algorithm as well as improvement of the object delineation with a decreased number of user interactions have been obtained.
| Original language | English |
|---|---|
| Pages (from-to) | 396-409 |
| Number of pages | 14 |
| Journal | Computerized Medical Imaging and Graphics |
| Volume | 36 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - Jul 2012 |
Keywords
- Boundary
- Cost map
- Dijkstra algorithm
- Edge
- Graph search
- Image segmentation
- Intelligent Scissors
- Live-Wire
ASJC Scopus subject areas
- Radiological and Ultrasound Technology
- Radiology, Nuclear Medicine and Imaging
- Computer Vision and Pattern Recognition
- Health Informatics
- Computer Graphics and Computer-Aided Design
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