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Three-Dimensional Segmentation of Ventricular Heart Chambers from Multi-Slice Computerized Tomography: An Hybrid Approach
- Source :
- Publons, Digital Information and Communication Technology and Its Applications, International Conference on Digital Information and Communication Technology and Its Applications, International Conference on Digital Information and Communication Technology and Its Applications, Jun 2011, Dijon, France. pp.287-301, ⟨10.1007/978-3-642-21984-9_25⟩, Communications in Computer and Information Science ISBN: 9783642219832, DICTAP (1)
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Abstract
- International audience; This research is focused on segmentation of the heart ventricles from volumes of Multi Slice Computerized Tomography (MSCT) image sequences. The segmentation is performed in three-dimensional (3-D) space aiming at recovering the topological features of cavities. The enhancement scheme based on mathematical morphology operators and the hybrid-linkage region growing technique are integrated into the segmentation approach. Several clinical MSCT four dimensional (3-D + t) volumes of the human heart are used to test the proposed segmentation approach. For validating the results, a comparison between the shapes obtained using the segmentation method and the ground truth shapes manually traced by a cardiologist is performed. Results obtained on 3-D real data show the capabilities of the approach for extracting the ventricular cavities with the necessary segmentation accuracy.
- Subjects :
- Computer science
Heart.chambers
02 engineering and technology
Mathematical morphology
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
Segmentation
[SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system
0202 electrical engineering, electronic engineering, information engineering
Computer vision
mathematical morphology
Ground truth
business.industry
multi slice computerized tomography
Multi slice
heart ventricles
Hybrid approach
Region growing
cardiac images
020201 artificial intelligence & image processing
[SDV.IB]Life Sciences [q-bio]/Bioengineering
Artificial intelligence
Tomography
business
region growing
Subjects
Details
- ISBN :
- 978-3-642-21983-2
- ISBNs :
- 9783642219832
- Database :
- OpenAIRE
- Journal :
- Publons, Digital Information and Communication Technology and Its Applications, International Conference on Digital Information and Communication Technology and Its Applications, International Conference on Digital Information and Communication Technology and Its Applications, Jun 2011, Dijon, France. pp.287-301, ⟨10.1007/978-3-642-21984-9_25⟩, Communications in Computer and Information Science ISBN: 9783642219832, DICTAP (1)
- Accession number :
- edsair.doi.dedup.....6334c451ce3574be8bf6fff01ce0fdf6