A gamma-distribution convolution model of Tc-99m-MIBI thyroid time-activity curves

Wesolowski C. A., Wanasundara S. N., Wesolowski M. J., Erbas B., Babyn P. S.

EJNMMI PHYSICS, cilt.3, 2016 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 3
  • Basım Tarihi: 2016
  • Doi Numarası: 10.1186/s40658-016-0166-z
  • Dergi Adı: EJNMMI PHYSICS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Hacettepe Üniversitesi Adresli: Evet

Özet

Background: The convolution approach to thyroid time-activity curve (TAC) data fitting with a gamma distribution convolution (GDC) TAC model following bolus intravenous injection is presented and applied to Tc-99m-MIBI data. The GDC model is a convolution of two gamma distribution functions that simultaneously models the distribution and washout kinetics of the radiotracer. The GDC model was fitted to thyroid region of interest (ROI) TAC data from 1 min per frame Tc-99m-MIBI image series for 90 min; GDC models were generated for three patients having left and right thyroid lobe and total thyroid ROIs, and were contrasted with washout-only models, i.e., less complete models. GDC model accuracy was tested using 10 Monte Carlo simulations for each clinical ROI.