Yıl 2019, Cilt 14 , Sayı 2, Sayfalar 285 - 295 2019-11-30

Diffüz Optik Tomografi için Yeniden Yapılanma Algoritmalarının Karşılaştırılması
The Comparison of Reconstruction Algorithms for Diffuse Optical Tomography

Tanju MERCAN [1] , Gençay SEVİM [2] , Yiğit Ali ÜNCÜ [3] , Serkan USLU [4] , Hüseyin Özgür KAZANCI [5] , Murat CANPOLAT [6]


Diffüz optik tomografi (DOT), kanser tanısı veya kanser takibi için meme dokusunun doku kromoforlarının uzaysal dağılımını görüntülemek için 750-950 nm dalga boyu aralığını kullanır. DOT, doku optik özelliklerinin geri çatım teknikleri ile tomografik olarak gösterilmesini sağlar. Görüntülerdeki gürültüleri en aza indirmek ve daha gerçekçi tomografik görüntüler elde etmek için çeşitli geri çatım teknikleri geliştirilmiştir. Dört farklı geri çatım tekniklerini karşılaştırmak için DOT sistemi ile doku fantomu kullanılarak veriler elde edildi. Doku fantomundaki inklüzyonun konumu belirleme açısından Cebirsel geri çatım tekniği (ART), eşzamanlı cebirsel geri çatım tekniği (SIRT), tekil nokta ayrışması (TSVD) ve kesikli eşlenik gradyent (TCG) teknikleri karşılaştırılmıştır. Alt uzay tekniklerinden TSVD ve TCG ile oluşturulan görüntülerdeki inklüzyonun konumu, cebirsel yöntemlerden ART ve SIRT' den daha iyi konumlandırıldığı gösterilmiştir. Ayrıca, TSVD ve TCG tarafından oluşturulan görüntüler, ART ve SIRT ile oluşturulan görüntülere göre daha az gürültü olarak elde edilmiştir.

Diffuse optical tomography (DOT) utilizes wavelength range of 750-950 nm to map the spatial distribution of the tissue chromophores of breast tissue for cancer diagnosis or follow up prognosis. DOT allows tomographic reconstructions of tissue optical properties. Several reconstruction methods have been developed to minimize artifacts and obtain more realistic tomographic images. In order to compare four different reconstruction algorithms, data acquired from tissue phantoms using a DOT system.  Algebraic reconstruction technique (ART), simultaneous iteration reconstruction technique (SIRT), truncated singular value decomposition (TSVD) and truncated conjugate gradient (TCG) techniques have been compared in terms of location of inclusion in the tissue phantoms. It has been shown that images reconstructed by the subspace techniques, TSVD and TCG locating the inclusion position better than the algebraic methods ART and SIRT. Beside, images reconstructed by TSVD and TCG have less artifact when compared to images of ART and SIRT. 

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Birincil Dil en
Konular Fizik, Uygulamalı
Bölüm Makaleler
Yazarlar

Orcid: 0000-0002-6711-6003
Yazar: Tanju MERCAN
Kurum: AKDENIZ UNIVERSITY
Ülke: Turkey


Orcid: 0000-0002-2157-3209
Yazar: Gençay SEVİM
Kurum: AKDENIZ UNIVERSITY
Ülke: Turkey


Orcid: 0000-0001-7398-9540
Yazar: Yiğit Ali ÜNCÜ
Kurum: AKDENIZ UNIVERSITY
Ülke: Turkey


Orcid: 0000-0002-0875-5905
Yazar: Serkan USLU
Kurum: AKDENIZ UNIVERSITY
Ülke: Turkey


Orcid: 0000-0003-0036-7657
Yazar: Hüseyin Özgür KAZANCI
Kurum: AKDENIZ UNIVERSITY
Ülke: Turkey


Orcid: 0000-0003-3298-9725
Yazar: Murat CANPOLAT (Sorumlu Yazar)
Kurum: AKDENIZ UNIVERSITY
Ülke: Turkey


Tarihler

Yayımlanma Tarihi : 30 Kasım 2019

Bibtex @araştırma makalesi { sdufeffd549528, journal = {Süleyman Demirel Üniversitesi Fen Edebiyat Fakültesi Fen Dergisi}, issn = {}, eissn = {1306-7575}, address = {}, publisher = {Süleyman Demirel Üniversitesi}, year = {2019}, volume = {14}, pages = {285 - 295}, doi = {10.29233/sdufeffd.549528}, title = {The Comparison of Reconstruction Algorithms for Diffuse Optical Tomography}, key = {cite}, author = {MERCAN, Tanju and SEVİM, Gençay and ÜNCÜ, Yiğit Ali and USLU, Serkan and KAZANCI, Hüseyin Özgür and CANPOLAT, Murat} }
APA MERCAN, T , SEVİM, G , ÜNCÜ, Y , USLU, S , KAZANCI, H , CANPOLAT, M . (2019). The Comparison of Reconstruction Algorithms for Diffuse Optical Tomography. Süleyman Demirel Üniversitesi Fen Edebiyat Fakültesi Fen Dergisi , 14 (2) , 285-295 . DOI: 10.29233/sdufeffd.549528
MLA MERCAN, T , SEVİM, G , ÜNCÜ, Y , USLU, S , KAZANCI, H , CANPOLAT, M . "The Comparison of Reconstruction Algorithms for Diffuse Optical Tomography". Süleyman Demirel Üniversitesi Fen Edebiyat Fakültesi Fen Dergisi 14 (2019 ): 285-295 <https://dergipark.org.tr/tr/pub/sdufeffd/issue/50336/549528>
Chicago MERCAN, T , SEVİM, G , ÜNCÜ, Y , USLU, S , KAZANCI, H , CANPOLAT, M . "The Comparison of Reconstruction Algorithms for Diffuse Optical Tomography". Süleyman Demirel Üniversitesi Fen Edebiyat Fakültesi Fen Dergisi 14 (2019 ): 285-295
RIS TY - JOUR T1 - The Comparison of Reconstruction Algorithms for Diffuse Optical Tomography AU - Tanju MERCAN , Gençay SEVİM , Yiğit Ali ÜNCÜ , Serkan USLU , Hüseyin Özgür KAZANCI , Murat CANPOLAT Y1 - 2019 PY - 2019 N1 - doi: 10.29233/sdufeffd.549528 DO - 10.29233/sdufeffd.549528 T2 - Süleyman Demirel Üniversitesi Fen Edebiyat Fakültesi Fen Dergisi JF - Journal JO - JOR SP - 285 EP - 295 VL - 14 IS - 2 SN - -1306-7575 M3 - doi: 10.29233/sdufeffd.549528 UR - https://doi.org/10.29233/sdufeffd.549528 Y2 - 2019 ER -
EndNote %0 Süleyman Demirel Üniversitesi Fen Edebiyat Fakültesi Fen Dergisi The Comparison of Reconstruction Algorithms for Diffuse Optical Tomography %A Tanju MERCAN , Gençay SEVİM , Yiğit Ali ÜNCÜ , Serkan USLU , Hüseyin Özgür KAZANCI , Murat CANPOLAT %T The Comparison of Reconstruction Algorithms for Diffuse Optical Tomography %D 2019 %J Süleyman Demirel Üniversitesi Fen Edebiyat Fakültesi Fen Dergisi %P -1306-7575 %V 14 %N 2 %R doi: 10.29233/sdufeffd.549528 %U 10.29233/sdufeffd.549528
ISNAD MERCAN, Tanju , SEVİM, Gençay , ÜNCÜ, Yiğit Ali , USLU, Serkan , KAZANCI, Hüseyin Özgür , CANPOLAT, Murat . "The Comparison of Reconstruction Algorithms for Diffuse Optical Tomography". Süleyman Demirel Üniversitesi Fen Edebiyat Fakültesi Fen Dergisi 14 / 2 (Kasım 2019): 285-295 . https://doi.org/10.29233/sdufeffd.549528
AMA MERCAN T , SEVİM G , ÜNCÜ Y , USLU S , KAZANCI H , CANPOLAT M . The Comparison of Reconstruction Algorithms for Diffuse Optical Tomography. SDÜFEFFD. 2019; 14(2): 285-295.
Vancouver MERCAN T , SEVİM G , ÜNCÜ Y , USLU S , KAZANCI H , CANPOLAT M . The Comparison of Reconstruction Algorithms for Diffuse Optical Tomography. Süleyman Demirel Üniversitesi Fen Edebiyat Fakültesi Fen Dergisi. 2019; 14(2): 295-285.