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An efficient and generic extension to ITK to process arbitrary shaped regions of interest
- Source :
- Computer Methods and Programs in Biomedicine, Computer Methods and Programs in Biomedicine, Elsevier, 2006, 81 (1), pp.1-7. ⟨10.1016/j.cmpb.2005.09.006⟩
- Publication Year :
- 2006
- Publisher :
- HAL CCSD, 2006.
-
Abstract
- The paper describes a software method to extend ITK (Insight ToolKit, supported by the National Library of Medicine), leading to ITK++. This method, which is based on the extension of the iterator design pattern, allows the processing of regions of interest with arbitrary shapes, without modifying the existing ITK code. We experimentally evaluate this work by considering the practical case of the liver vessel segmentation from CT-scan images, where it is pertinent to constrain processings to the liver area. Experimental results clearly prove the interest of this work: for instance, the anisotropic filtering of this area is performed in only 16@?s with our proposed solution, while it takes 52@?s using the native ITK framework. A major advantage of this method is that only add-ons are performed: this facilitates the further evaluation of ITK++ while preserving the native ITK framework.
- Subjects :
- Computer science
Health Informatics
02 engineering and technology
computer.software_genre
Pattern Recognition, Automated
030218 nuclear medicine & medical imaging
User-Computer Interface
03 medical and health sciences
Imaging, Three-Dimensional
0302 clinical medicine
Software
Artificial Intelligence
Image Interpretation, Computer-Assisted
Computer Graphics
0202 electrical engineering, electronic engineering, information engineering
Code (cryptography)
Humans
ComputingMilieux_MISCELLANEOUS
Anisotropic filtering
Reusability
Phantoms, Imaging
business.industry
Process (computing)
[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
Extension (predicate logic)
Image Enhancement
3. Good health
Computer Science Applications
Subtraction Technique
Iterator pattern
Programming Languages
020201 artificial intelligence & image processing
Data mining
Tomography, X-Ray Computed
business
computer
Algorithm
Algorithms
Subjects
Details
- Language :
- English
- ISSN :
- 01692607
- Database :
- OpenAIRE
- Journal :
- Computer Methods and Programs in Biomedicine, Computer Methods and Programs in Biomedicine, Elsevier, 2006, 81 (1), pp.1-7. ⟨10.1016/j.cmpb.2005.09.006⟩
- Accession number :
- edsair.doi.dedup.....67dfef9c3dc8a2f3b4e3dacf89c03dff