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Abstract
We have implemented a scheme for simulating realistic dynamic PET data from real MR acquisitions. This toolkit uses a series of MR acquisitions, image registrations and segmentations. PET images are simulated assigning typical values to the segmented images, and manually inserting additional lesions. The data are simulated using analytic forward-projections (including attenuation) with STIR [1], providing a fast and simple simulation toolkit that can be used to efficiently study the performance of different reconstruction and motion and attenuation correction approaches for dynamic PET data.
Keywords
image segmentation, medical image processing, image registration, image reconstruction, image motion analysis, data acquisition, biomedical MRI, MLEM., STIR, PET, Motion Correction, PET-MR, Reconstruction, tumours, positron emission tomography

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Citation

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Chicago
Tsoumpas, Charalampos, Christian Buerger, Andrew P King, Vincent Keereman, Stefaan Vandenberghe, Volkmar Schulz, Tobias Schaeffter, and Paul K Marsden. 2009. “Simulation of Dynamic PET Data from Real MR Acquisitions.” In IEEE Nuclear Science Symposium Conference Record, ed. Bo Yu, 3065–3068. Piscataway, NJ, USA: IEEE.
APA
Tsoumpas, Charalampos, Buerger, C., King, A. P., Keereman, V., Vandenberghe, S., Schulz, V., Schaeffter, T., et al. (2009). Simulation of dynamic PET data from real MR acquisitions. In Bo Yu (Ed.), IEEE Nuclear Science Symposium Conference Record (pp. 3065–3068). Presented at the IEEE Nuclear Science Symposium Conference 2009, Piscataway, NJ, USA: IEEE.
Vancouver
1.
Tsoumpas C, Buerger C, King AP, Keereman V, Vandenberghe S, Schulz V, et al. Simulation of dynamic PET data from real MR acquisitions. In: Yu B, editor. IEEE Nuclear Science Symposium Conference Record. Piscataway, NJ, USA: IEEE; 2009. p. 3065–8.
MLA
Tsoumpas, Charalampos, Christian Buerger, Andrew P King, et al. “Simulation of Dynamic PET Data from Real MR Acquisitions.” IEEE Nuclear Science Symposium Conference Record. Ed. Bo Yu. Piscataway, NJ, USA: IEEE, 2009. 3065–3068. Print.
@inproceedings{911063,
  abstract     = {We have implemented a scheme for simulating realistic dynamic PET data from real MR acquisitions. This toolkit uses a series of MR acquisitions, image registrations and segmentations. PET images are simulated assigning typical values to the segmented images, and manually inserting additional lesions. The data are simulated using analytic forward-projections (including attenuation) with STIR [1], providing a fast and simple simulation toolkit that can be used to efficiently study the performance of different reconstruction and motion and attenuation correction approaches for dynamic PET data.},
  author       = {Tsoumpas, Charalampos and Buerger, Christian and King, Andrew P and Keereman, Vincent and Vandenberghe, Stefaan and Schulz, Volkmar and Schaeffter, Tobias and Marsden, Paul K},
  booktitle    = {IEEE Nuclear Science Symposium Conference Record},
  editor       = {Yu, Bo},
  isbn         = {9781424439614},
  issn         = {1082-3654},
  keyword      = {image segmentation,medical image processing,image registration,image reconstruction,image motion analysis,data acquisition,biomedical MRI,MLEM.,STIR,PET,Motion Correction,PET-MR,Reconstruction,tumours,positron emission tomography},
  language     = {eng},
  location     = {Orlando, FL, USA},
  pages        = {3065--3068},
  publisher    = {IEEE},
  title        = {Simulation of dynamic PET data from real MR acquisitions},
  url          = {http://dx.doi.org/10.1109/NSSMIC.2009.5401662},
  year         = {2009},
}

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