Head model weight functions generation for laser tomography


KAZANCI H. Ö.

OPTICAL AND QUANTUM ELECTRONICS, cilt.48, sa.4, 2016 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 48 Sayı: 4
  • Basım Tarihi: 2016
  • Doi Numarası: 10.1007/s11082-016-0526-x
  • Dergi Adı: OPTICAL AND QUANTUM ELECTRONICS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Anahtar Kelimeler: Biomedical optic imaging, Continuous wave diffuse optical tomography (CWDOT), Monte Carlo (MC) simulation, Forward model, Photon fluence rate distribution, DIFFUSE OPTICAL TOMOGRAPHY, REFLECTANCE
  • Akdeniz Üniversitesi Adresli: Evet

Özet

Continuous wave diffuse optical tomography (CWDOT) biomedical optic imaging modalities have significant improvement in localization accuracy and image quality compared to traditional imaging methods of the human brain. In this work, a novel comprehensive evaluation is provided for diffuse optical tomography (DOT) systems without using any other utilities such as CT (Computerized Tomography) or MRI (Magnetic Resonance Imaging) modalities. In the most of head models, CT or MRI head anatomy is used for localization accuracy and better image resolution especially for source and detector coordinate definition problem. Traditional use of CT or MRI head anatomy determines the shape of head. Thus, source and detector coordinates are defined and forward model is built. In this work, the head model for CWDOT utilized with novel coordinate transformation method is presented by translational transfer process via generation of two dimensional (2D) Monte Carlo (MC) simulation photon fluence rate distribution data. Head model has curve surface. The main purpose of this work is to transfer 2D simulation data to three dimensional (3D) imaging media which has curve head surface. The coordinate transformation is applied to the 2D MC simulation data to analyze and calculate the photon fluence rate distributions into 3D imaging media. The utilized DOT model incorporates multiple source-detector pairs with continuous wave data.