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Framework for the construction of a Monte Carlo simulated brain PET-MR image database

Research output: Contribution to journalArticlepeer-review

B. A. Thomas, K. Erlandsson, I. Drobnjak, S. Pedemonte, K. Vunckx, A. Bousse, A. Reilhac-Laborde, S. Ourselin, B. F. Hutton

Original languageEnglish
Pages (from-to)162-165
Number of pages4
JournalNuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
Issue numberPART B
Published11 Jan 2014

King's Authors


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.

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