Fast Monte Carlo-simulator with full collimator and detector response modelling for SPECT.

Ann Nucl Med

Department of Clinical Physiology and Nuclear Medicine, Joint Authority for Päijät-Häme Social and Health Care, Lahti, Finland.

Published: January 2012

Objective: Monte Carlo (MC)-simulations have proved to be a valuable tool in studying SPECT-reconstruction algorithms. Despite their popularity, the use of Monte Carlo-simulations is still often limited by their large computation demand. This is especially true in situations where full collimator and detector modelling with septal penetration, scatter and X-ray fluorescence needs to be included. This paper presents a rapid and simple MC-simulator, which can effectively reduce the computation times.

Methods: The simulator was built on the convolution-based forced detection principle, which can markedly lower the number of simulated photons. Full collimator and detector response look-up tables are pre-simulated and then later used in the actual MC-simulations to model the system response. The developed simulator was validated by comparing it against (123)I point source measurements made with a clinical gamma camera system and against (99m)Tc software phantom simulations made with the SIMIND MC-package.

Results: The results showed good agreement between the new simulator, measurements and the SIMIND-package. The new simulator provided near noise-free projection data in approximately 1.5 min per projection with (99m)Tc, which was less than one-tenth of SIMIND's time.

Conclusion: The developed MC-simulator can markedly decrease the simulation time without sacrificing image quality.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s12149-011-0550-7DOI Listing

Publication Analysis

Top Keywords

full collimator
12
collimator detector
12
detector response
8
fast monte
4
monte carlo-simulator
4
carlo-simulator full
4
response modelling
4
modelling spect
4
spect objective
4
objective monte
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!