Mathematical method for diffuse optical tomography imaging: A Research Study


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KAZANCI H. Ö., CANPOLAT M.

El-Cezerî Journal of Science and Engineering, vol.1, no.3, pp.9-16, 2014 (Scopus)

  • Publication Type: Article / Article
  • Volume: 1 Issue: 3
  • Publication Date: 2014
  • Journal Name: El-Cezerî Journal of Science and Engineering
  • Journal Indexes: Scopus, TR DİZİN (ULAKBİM)
  • Page Numbers: pp.9-16
  • Akdeniz University Affiliated: Yes

Abstract

In this work, depth normalization algorithm (DNA), which normalizes elements of weight matrix for the reflectance diffuse optical tomography system has been introduced. Construction of weight matrix plays important role for diffuse optical tomography systems. Voxel elements of tissue are key factors for image reconstruction process. Value of the voxel elements are mapped to color codes. As well as try to solve inverse problem of photon measurements related to voxels for diffuse optical tomography systems weight matrixes are very important parts of image reconstruction. Weight matrix could be constructed according to theoretical physics diffuse equation of photon transport model for homogenous and heterogeneous medium or Monte Carlo (MC) simulation method. Another approach might be utility system such as magnetic resonance imaging modality or ultrasound.

In this work, depth normalization algorithm (DNA), which normalizes elements of weight matrix for the reflectance diffuse optical tomography system has been introduced. Construction of weight matrix plays important role for diffuse optical tomography systems. Voxel elements of tissue are key factors for image reconstruction process. Value of the voxel elements are mapped to color codes. As well as try to solve inverse problem of photon measurements related to voxels for diffuse optical tomography systems weight matrixes are very important parts of image reconstruction. Weight matrix could be constructed according to theoretical physics diffuse equation of photon transport model for homogenous and heterogeneous medium or Monte Carlo (MC) simulation method. Another approach might be utility system such as magnetic resonance imaging modality or ultrasound.