The basic functions to:
- simulate the creation of MPI-signal using a Langevin model for the magnetization of the particle,
- simulate the encoding princples of the MPI-signal
- simulate a 2D FFP scanner which is made of ideal/pure fields and obtain the system matrix basis functions
- simulate a 2D FFL scanner which is made of ideal/pure field and obtain the systemmatrix basis functions
More details on the workflow for the similation of MPI-signal for scanners is given in the wiki and in my thesis.
Values and ideas comes mainly from:
- S. Biederer, "Entwicklung eines Spektrometers zur Analyse superparamagnetischer Eisenoxid-Nanopartikel für Magnetic-Particle-Imaging", Springer, 2012
- T. knopp and T. M. Buzug "Magnetic Particle Imaging", Springer, 2013
- J. Weizenecker, J. Borgert and B. Gleich, "A simulation study on the resolution and sensitivity of magnetic particle imaging",Physics in Medicine and Biology,2007
- J. Rahmer, J. Weizenecker, B. Gleichand and J. Borgert, "Signal encoding in magnetic particle imaging: properties of the system function",BMC Medical Imaging,2009
- G. Bringout and T. M. Buzug , "A robust and compact representation for magnetic fields in magnetic particle imaging",Biomedical Engineering / Biomedizinische Technik,2014
We create these graph and the associated data about the signal generation, 'in' the FFP, with the script "SignalGeneration.m"
We create these graph and the associated data about the signal encoding, when a field offset is present, with the script "SignalEncoding.m"
We create these graph and the associated data about the signal generated by an 2D FFp scanner, with the script "Reco2D_IdealFFP.m"
We create these graph and the associated data about the signal generated by an 2D FFL scanner, with the script "Reco2D_IdealFFL.m"
