http://www.cnr.it/ontology/cnr/individuo/prodotto/ID135267
Review of Vessel Segmentation Methods Applied to Liver Volume Images (Contributo in volume (capitolo o saggio))
- Type
- Label
- Review of Vessel Segmentation Methods Applied to Liver Volume Images (Contributo in volume (capitolo o saggio)) (literal)
- Anno
- 2008-01-01T00:00:00+01:00 (literal)
- Alternative label
Makowski P.; Casciaro S. (2008)
Review of Vessel Segmentation Methods Applied to Liver Volume Images
Lupiensis Biomedical Publications, Lecce (Italia) in Minimally Invasive Technologies and Nanosystems for Diagnosis and Therapies, 2008
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Makowski P.; Casciaro S. (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#citta
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
- Minimally Invasive Technologies and Nanosystems for Diagnosis and Therapies (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
- In: Minimally Invasive Technologies and Nanosystems for Diagnosis and Therapies. pp. 103 - 112. S. Casciaro, E. Samset (eds.). Lecce, Italy: Lupiensis Biomedical Publications, 2008. (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#descrizioneSinteticaDelProdotto
- The paper presents a review of most common vessel segmentation methods useful mostly for 3D volume imaging modalities, like contrast enhanced computerized tomography (CE-CT) and magnetic resonance imaging (MRI). Special attention was dedicated to segmentation of liver vasculature. The intention of the review was the selection of potential methods, which could be applied to liver segmentation for the purpose of tumour treatment by means of radio frequency ablation. Chosen methods were divided into two main groups \"pixel to region\" methods and \"pixel to model\". Vesselness filtering, level set methods, watershed segmentation were mentioned among others. In the \"pixel to model\" group a special focus was applied to deformable models like isosurface or B-spline surface based methods. Possible combinations of described methods into an image processing pipeline were also presented. For an easier comprehension and discussion 2D algorithms are described, whose concepts are extensible to 3D. An example related to the vesselness method applied to CE-CT is also illustrated. (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- CNR, Istituto di fisiologia clinica (IFC), Lecce (literal)
- Titolo
- Review of Vessel Segmentation Methods Applied to Liver Volume Images (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#inCollana
- Minimally Invasive Technologies and Nanosystems for Diagnosis and Therapies (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- 978-88-902880-2-9 (literal)
- Abstract
- The paper presents a review of most common vessel segmentation methods useful mostly for 3D
volume imaging modalities, like contrast enhanced computerized tomography (CE-CT) and magnetic
resonance imaging (MRI). Special attention was dedicated to segmentation of liver vasculature. The intention
of the review was the selection of potential methods, which could be applied to liver segmentation for the
purpose of tumour treatment by means of radio frequency ablation. Chosen methods were divided into two
main groups \"pixel to region\" methods and \"pixel to model\". Vesselness filtering, level set methods,
watershed segmentation were mentioned among others. In the \"pixel to model\" group a special focus was
applied to deformable models like isosurface or B-spline surface based methods. Possible combinations of
described methods into an image processing pipeline were also presented. For an easier comprehension and
discussion 2D algorithms are described, whose concepts are extensible to 3D. An example related to the
vesselness method applied to CE-CT is also illustrated. (literal)
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