Department of Mathematics

CIM CoSy Seminar

  • Date: 3/21/2017 at 12:00 PM 1:00 PM
  • Location: Ångströmlaboratoriet, Lägerhyddsvägen 1 Å11167
  • Lecturer: Kristi Kuljus, Senior Research Fellow in Mathematical Statistics, Institute of Mathematics and Statistics, University of Tartu
  • Contact person: Joel Dahne
  • Phone: 0762020507
  • Seminarium

21 March
Speaker: Kristi Kuljus, Senior Research Fellow in Mathematical Statistics, Institute of Mathematics and Statistics, University of Tartu
Title: Comparison of hidden Markov chain models and hidden Markov random field models in estimation of computed tomography images
Place: Å11167
Time: 12:00 -- 13:00

21 March
SpeakerKristi Kuljus, Senior Research Fellow in Mathematical Statistics, Institute of Mathematics and Statistics, University of Tartu
Title: Comparison of hidden Markov chain models and hidden Markov random field models in estimation of computed tomography images
Place: Å11167
Time: 12:00 -- 13:00
Abstract:
There is an interest to replace computed tomography (CT) images with magnetic resonance (MR) images for a number of diagnostic and therapeutic workflows. We explore the problem of predicting CT images from a number of magnetic resonance imaging (MRI) sequences using regression approach. Two principal areas of application for estimated CT images are dose calculations in MRI based radiotherapy treatment planning and attenuation correction for positron emission tomography (PET)/MRI. The main purpose of this work is to compare the performance of hidden Markov (chain) models (HMMs) and hidden Markov random field (HMRF) models for predicting CT images of head. Our study shows that HMMs have clear advantages over HMRF models in this particular application. Obtained results suggest that HMMs deserve a further study for investigating their potential in obtaining good estimates of CT images.