3-BOYUTLU bt anjiyografi verilerinde frangi damarlik yöntemi üzerine bölge büyütme yaklasimi

Ilkay Öksüz, Devrim Ünay, Kamuran Kadipasaoglu

Araştırma sonucu: ???type-name???Konferans katkısıbilirkişi

4 Atıf (Scopus)

Özet

In cardiac related diagnostic methods, the shape and curvature of coronary arteries is essential. Consequently, one of the most important requirements for Computer Aided Diagnosis (CAD) Systems is automated segmentation of vasculature. In this paper, we propose a new hybrid algorithm, which segment the coronary arterial tree in CTA images by merging methodologies-, namely, Region Growing and Frangi Approach. The algorithm first runs a region growing on Frangi vesselness values and subsequently optimizes the results with several threshold values. Comparison of the present results with optimal results of existing segmentation algorithms reveals that the proposed approach outperforms its predecessors. The diagnostic accuracy of the algorithm will next be validated on the segmentation of coronary arteries from real CT data.

Tercüme edilen katkı başlığıRegion growing on frangi vesselness values in 3-D CTA data
Orijinal dilTürkçe
Ana bilgisayar yayını başlığı2013 21st Signal Processing and Communications Applications Conference, SIU 2013
DOI'lar
Yayın durumuYayınlandı - 2013
Harici olarak yayınlandıEvet
Etkinlik2013 21st Signal Processing and Communications Applications Conference, SIU 2013 - Haspolat, Turkey
Süre: 24 Nis 201326 Nis 2013

Yayın serisi

Adı2013 21st Signal Processing and Communications Applications Conference, SIU 2013

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???event.eventtypes.event.conference???2013 21st Signal Processing and Communications Applications Conference, SIU 2013
Ülke/BölgeTurkey
ŞehirHaspolat
Periyot24/04/1326/04/13

Keywords

  • Coronary arteries
  • Frangi vesselness
  • Medical image processing
  • Region growing
  • Vessel segmentation

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