An iterative reconstruction algorithm for quantitative tissue decomposition using DECT
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
En iterativ rekonstruktions algoritm för kvantitativ vävnadsklassificering via DECT (Swedish)
The introduction of dual energy CT, DECT, in the field of medical healthcare has made it possible to extract more information of the scanned objects. This in turn has the potential to improve the accuracy in radiation therapy dose planning. One problem that remains before successful material decomposition can be achieved however, is the presence of beam hardening and scatter artifacts that arise in a scan. Methods currently in clinical use for removal of beam hardening often bias the CT numbers. Hence, the possibility for an appropriate tissue decomposition is limited.
Here a method for successful decomposition as well as removal of the beam hardening artifact is presented. The method uses effective linear attenuations for the five base materials, water, protein, adipose, cortical bone and marrow, to perform the decomposition on reconstructed simulated data. This is performed inside an iterative loop together with the polychromatic x-ray spectra to remove the beam hardening
Place, publisher, year, edition, pages
2012. , 91 p.
DECT, Iterative reconstruction, Tissue decomposition, Beam hardening correction
Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:liu:diva-80964ISRN: LiTH-ISY-EX--12/4617--SEOAI: oai:DiVA.org:liu-80964DiVA: diva2:549562
Subject / course
Computer Vision Laboratory
2012-08-24, Algoritmen, 10:15 (Swedish)