Araştırma Makalesi

Model-Free automatic segmentation of the aortic valve in multislice computed tomography images

Cilt: 27 Sayı: 2 4 Nisan 2021
  • Devrim Ünay
  • İbrahim Harmankaya
  • İlkay Öksüz
  • Rahmi Çubuk
  • Levent Çelik
  • Kamuran Kadıpaşaoğlu
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Model-Free automatic segmentation of the aortic valve in multislice computed tomography images

Öz

Valvular diseases may affect one or more of the cardiac valves, which may need to be replaced or restored for effective treatment. The surgical procedure can be guided by a patient-specific and dynamic model containing information complementary to the 2D/3D static images of the valves. To this end, in this study a novel automated model-free aortic valve segmentation method is presented, and its performance is evaluated against expert annotations over conventional contrast-enhanced ECG-gated multislice CT data of the aortic valve at its closed position. Detailed evaluation of the proposed method in 19 real cases revealed an encouraging performance of 3D region growing over Hessian based approach but also demonstrated the complexity of the problem.

Anahtar Kelimeler

Kaynakça

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Ayrıntılar

Birincil Dil

İngilizce

Konular

Mühendislik

Bölüm

Araştırma Makalesi

Yazarlar

Devrim Ünay Bu kişi benim
Türkiye

İbrahim Harmankaya Bu kişi benim
Türkiye

Rahmi Çubuk Bu kişi benim
Türkiye

Levent Çelik Bu kişi benim
Türkiye

Kamuran Kadıpaşaoğlu Bu kişi benim
Türkiye

Yayımlanma Tarihi

4 Nisan 2021

Gönderilme Tarihi

11 Aralık 2019

Kabul Tarihi

-

Yayımlandığı Sayı

Yıl 2021 Cilt: 27 Sayı: 2

Kaynak Göster

APA
Ünay, D., Harmankaya, İ., Öksüz, İ., Çubuk, R., Çelik, L., & Kadıpaşaoğlu, K. (2021). Model-Free automatic segmentation of the aortic valve in multislice computed tomography images. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 27(2), 122-128. https://izlik.org/JA23DC28PX
AMA
1.Ünay D, Harmankaya İ, Öksüz İ, Çubuk R, Çelik L, Kadıpaşaoğlu K. Model-Free automatic segmentation of the aortic valve in multislice computed tomography images. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2021;27(2):122-128. https://izlik.org/JA23DC28PX
Chicago
Ünay, Devrim, İbrahim Harmankaya, İlkay Öksüz, Rahmi Çubuk, Levent Çelik, ve Kamuran Kadıpaşaoğlu. 2021. “Model-Free automatic segmentation of the aortic valve in multislice computed tomography images”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 27 (2): 122-28. https://izlik.org/JA23DC28PX.
EndNote
Ünay D, Harmankaya İ, Öksüz İ, Çubuk R, Çelik L, Kadıpaşaoğlu K (01 Nisan 2021) Model-Free automatic segmentation of the aortic valve in multislice computed tomography images. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 27 2 122–128.
IEEE
[1]D. Ünay, İ. Harmankaya, İ. Öksüz, R. Çubuk, L. Çelik, ve K. Kadıpaşaoğlu, “Model-Free automatic segmentation of the aortic valve in multislice computed tomography images”, Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, c. 27, sy 2, ss. 122–128, Nis. 2021, [çevrimiçi]. Erişim adresi: https://izlik.org/JA23DC28PX
ISNAD
Ünay, Devrim - Harmankaya, İbrahim - Öksüz, İlkay - Çubuk, Rahmi - Çelik, Levent - Kadıpaşaoğlu, Kamuran. “Model-Free automatic segmentation of the aortic valve in multislice computed tomography images”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 27/2 (01 Nisan 2021): 122-128. https://izlik.org/JA23DC28PX.
JAMA
1.Ünay D, Harmankaya İ, Öksüz İ, Çubuk R, Çelik L, Kadıpaşaoğlu K. Model-Free automatic segmentation of the aortic valve in multislice computed tomography images. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2021;27:122–128.
MLA
Ünay, Devrim, vd. “Model-Free automatic segmentation of the aortic valve in multislice computed tomography images”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, c. 27, sy 2, Nisan 2021, ss. 122-8, https://izlik.org/JA23DC28PX.
Vancouver
1.Devrim Ünay, İbrahim Harmankaya, İlkay Öksüz, Rahmi Çubuk, Levent Çelik, Kamuran Kadıpaşaoğlu. Model-Free automatic segmentation of the aortic valve in multislice computed tomography images. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi [Internet]. 01 Nisan 2021;27(2):122-8. Erişim adresi: https://izlik.org/JA23DC28PX