Framework for the construction of a Monte Carlo simulated brain PET-MR image database
RIS ID
85927
Abstract
Simultaneous PET-MR acquisition reduces the possibility of registration mismatch between the two modalities. This facilitates the application of techniques, either during reconstruction or post-reconstruction, that aim to improve the PET resolution by utilising structural information provided by MR. However, in order to validate such methods for brain PET-MR studies it is desirable to evaluate the performance using data where the ground truth is known. In this work, we present a framework for the production of datasets where simulations of both the PET and MR, based on real data, are generated such that reconstruction and post-reconstruction approaches can be fairly compared.
Publication Details
Thomas, B. A., Erlandsson, K., Drobnjak, I., Pedemonte, S., Vunckx, K., Bousse, A., Reilhac-Laborde, A., Ourselin, S. & Hutton, B. F. (2014). Framework for the construction of a Monte Carlo simulated brain PET-MR image database. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors, and Associated Equipment, 734 (Part B), 162-165.