Tanju MERCAN, Gençay SEVİM, Yiğit Ali ÜNCÜ, Serkan USLU, Hüseyin Özgür KAZANCI, Murat CANPOLAT

Diffüz Optik Tomografi için Yeniden Yapılanma Algoritmalarının Karşılaştırılması

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.

Anahtar Kelimeler:

Cebirsel geri çatım tekniği, Eşzamanlı cebirsel geri çatım tekniği, Tekil nokta ayrışması, Kesikli eşlenik gradyent, Diffüz optik tomografi

The Comparison of Reconstruction Algorithms for Diffuse Optical Tomography

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.

Keywords:

Algebraic reconstruction technique, Simultaneous iteration reconstruction technique, Truncated singular value decomposition, Truncated conjugate gradient, Diffuse optical tomography,

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