Diffuse light tomography to detect blood vessels using Tikhonov regularization


KAZANCI H. Ö., Jacques S. L.

Saratov Fall Meeting / 3rd International Symposium on Optics and Biophotonics / 7th Finnish-Russian Photonics and Laser Symposium (PALS), Saratov, Rusya, 22 - 25 Eylül 2015, cilt.9917 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 9917
  • Doi Numarası: 10.1117/12.2230074
  • Basıldığı Şehir: Saratov
  • Basıldığı Ülke: Rusya
  • Anahtar Kelimeler: Diffuse optical tomography, diffuse light tomography, inverse problem solution, Tikhonov regularization, monte carlo simulation, biomedical optic, diffuse optic imaging, laser imaging, MULTILAYERED TISSUES
  • Akdeniz Üniversitesi Adresli: Evet

Özet

Detection of blood vessels within light-scattering tissues involves detection of subtle shadows as blood absorbs light. These shadows are diffuse but measurable by a set of source-detector pairs in a spatial array of sources and detectors on the tissue surface. The measured shadows can reconstruct the internal position(s) of blood vessels. Continuous wave diffuse optical tomography (CWDOT) method is used to detect the bloody vessels inside the tissue. Imaging device has back-reflection geometry sources and detectors on the surface. From each source position laser light is sent into tissue, back reflected photons are collected by photo-sensitive photo-detectors. The tomographic method involves a set of N-s sources and N-d detectors such that N-sd = N-s x N-d source-detector pairs produce N-sd measurements, each interrogating the tissue with a unique perspective, i.e., a unique region of sensitivity to voxels within the tissue. This tutorial report describes the reconstruction of the image of a blood vessel within a soft tissue based on such source-detector measurements, by solving a matrix equation using Tikhonov regularization. This is not a novel contribution, but rather a simple introduction to a well-known method, demonstrating its use in mapping blood perfusion.