Araştırma Makalesi

Assessment of Similarity Rates of Liver Images Using Geometric Transformations

Cilt: 17 Sayı: 1 27 Mart 2017
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Assessment of Similarity Rates of Liver Images Using Geometric Transformations

Öz

In this study, similarity rates of the liver images which are obtained from different peoples are determined using 3D geometric transformation methods.  The similarity is evaluated based on the numerical comparisons and visual results. 10 intact liver images which are drawn by the radiologists are used. Three geometric transformation methods scaling, rotating, and translating are consecutively applied to the liver images. All images are used both as atlas and as test images. The Dice coefficient values are calculated to show the similarity of each test image to atlas. The scaling, rotating, and translating amounts of the image are retained for the atlas which the similarity rate is highest. The liver images of different persons are similar to each other at an average rate of 67 0.09 % according to Dice coefficient values which express the similarity. This study is presented as a step to prepare atlas database for segmentation of the injured liver.

Anahtar Kelimeler

Kaynakça

  1. [1] Linguraru, M.G., Sandberg J.K., Li Z., Shah F., Summers R.M., “Automated Segmentation and Quantification of Liver and Spleen from CT Images using Normalized Probabilistic Atlases and Enhancement Estimation, Medical Pyysics, 37(2):771-783, 2010..
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  7. [7] Palabaş T., Osman, O., Ergin T, Teomete U., Dandin Ö., Automated Segmentation of the Injured Liver, Medical Technologies National Conference (TIPTEKNO),2015, DOI: 10.1109/TIPTEKNO.2015.7374590.
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Ayrıntılar

Birincil Dil

İngilizce

Konular

Mühendislik

Bölüm

Araştırma Makalesi

Yazarlar

Tuğba Palabaş Tapkın
YILDIZ TEKNIK UNIV
Türkiye

Tuncer Ergin Bu kişi benim

Uygar Teomete Bu kişi benim

Nizamettin Aydın Bu kişi benim

Yayımlanma Tarihi

27 Mart 2017

Gönderilme Tarihi

31 Ocak 2017

Kabul Tarihi

-

Yayımlandığı Sayı

Yıl 2017 Cilt: 17 Sayı: 1

Kaynak Göster

APA
Palabaş Tapkın, T., Osman, O., Ergin, T., Teomete, U., Dandin, Ö., & Aydın, N. (2017). Assessment of Similarity Rates of Liver Images Using Geometric Transformations. IU-Journal of Electrical & Electronics Engineering, 17(1), 3113-3119. https://izlik.org/JA94DE39KL
AMA
1.Palabaş Tapkın T, Osman O, Ergin T, Teomete U, Dandin Ö, Aydın N. Assessment of Similarity Rates of Liver Images Using Geometric Transformations. IU-Journal of Electrical & Electronics Engineering. 2017;17(1):3113-3119. https://izlik.org/JA94DE39KL
Chicago
Palabaş Tapkın, Tuğba, Onur Osman, Tuncer Ergin, Uygar Teomete, Özgür Dandin, ve Nizamettin Aydın. 2017. “Assessment of Similarity Rates of Liver Images Using Geometric Transformations”. IU-Journal of Electrical & Electronics Engineering 17 (1): 3113-19. https://izlik.org/JA94DE39KL.
EndNote
Palabaş Tapkın T, Osman O, Ergin T, Teomete U, Dandin Ö, Aydın N (01 Mart 2017) Assessment of Similarity Rates of Liver Images Using Geometric Transformations. IU-Journal of Electrical & Electronics Engineering 17 1 3113–3119.
IEEE
[1]T. Palabaş Tapkın, O. Osman, T. Ergin, U. Teomete, Ö. Dandin, ve N. Aydın, “Assessment of Similarity Rates of Liver Images Using Geometric Transformations”, IU-Journal of Electrical & Electronics Engineering, c. 17, sy 1, ss. 3113–3119, Mar. 2017, [çevrimiçi]. Erişim adresi: https://izlik.org/JA94DE39KL
ISNAD
Palabaş Tapkın, Tuğba - Osman, Onur - Ergin, Tuncer - Teomete, Uygar - Dandin, Özgür - Aydın, Nizamettin. “Assessment of Similarity Rates of Liver Images Using Geometric Transformations”. IU-Journal of Electrical & Electronics Engineering 17/1 (01 Mart 2017): 3113-3119. https://izlik.org/JA94DE39KL.
JAMA
1.Palabaş Tapkın T, Osman O, Ergin T, Teomete U, Dandin Ö, Aydın N. Assessment of Similarity Rates of Liver Images Using Geometric Transformations. IU-Journal of Electrical & Electronics Engineering. 2017;17:3113–3119.
MLA
Palabaş Tapkın, Tuğba, vd. “Assessment of Similarity Rates of Liver Images Using Geometric Transformations”. IU-Journal of Electrical & Electronics Engineering, c. 17, sy 1, Mart 2017, ss. 3113-9, https://izlik.org/JA94DE39KL.
Vancouver
1.Tuğba Palabaş Tapkın, Onur Osman, Tuncer Ergin, Uygar Teomete, Özgür Dandin, Nizamettin Aydın. Assessment of Similarity Rates of Liver Images Using Geometric Transformations. IU-Journal of Electrical & Electronics Engineering [Internet]. 01 Mart 2017;17(1):3113-9. Erişim adresi: https://izlik.org/JA94DE39KL