Model-Based Reconstruction for Magnetic Particle Imaging
| Autor: | Timo F. Sattel, Jürgen Rahmer, Tobias Knopp, Thorsten M. Buzug, Joern Borgert, Sven Biederer, Jürgen Weizenecker, Bernhard Gleich |
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| Rok vydání: | 2010 |
| Předmět: |
Computer science
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Metal Nanoparticles Image processing Iterative reconstruction Ferric Compounds Signal Magnetic particle imaging Image Processing Computer-Assisted Computer vision Electrical and Electronic Engineering Image resolution Signal processing Radiological and Ultrasound Technology Phantoms Imaging business.industry Models Theoretical Grid Magnetic Resonance Imaging Signal chain Computer Science Applications Magnetic nanoparticles Particle Artificial intelligence business Algorithm Algorithms Software Superparamagnetism |
| Zdroj: | IEEE Transactions on Medical Imaging. 29:12-18 |
| ISSN: | 1558-254X 0278-0062 |
| DOI: | 10.1109/tmi.2009.2021612 |
| Popis: | Magnetic particle imaging (MPI) is a new imaging modality capable of imaging distributions of superparamagnetic nanoparticles with high sensitivity, high spatial resolution and, in particular, high imaging speed. The image reconstruction process requires a system function, describing the mapping between particle distribution and acquired signal. To date, the system function is acquired in a tedious calibration procedure by sequentially measuring the signal of a delta sample at the positions of a grid that covers the field of view. In this work, for the first time, the system function is calculated using a model of the signal chain. The modeled system function allows for reconstruction of the particle distribution in a 1-D MPI experiment. The approach thus enables fast generation of system functions on arbitrarily dense grids. Furthermore, reduction in memory requirements may be feasible by generating parts of the system function on the fly during reconstruction instead of keeping the complete matrix in memory. |
| Databáze: | OpenAIRE |
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