Verlag des Forschungszentrums Jülich
JUEL-3906
In this work a procedure is presented, with which the reconstruction problem is represented as
linear equation system (LES). Methods are developed and implemented, in order to calculate the
coefficient matrix of the LES exactly as weIl as efficiently and to compress it so extensively, that it
can be stored completely in memory. Here the LES can be solved by means of a fast converging,
iterative approximation method in short computation time. In addition, the well-established
Ordered-Subset-MLEM algorithm is parallelized, the subset partitioning is improved, and the
handling sequence of the subsets is optimized. This method of reconstruction is superior to
known procedures regarding image quality and computation time.
Kehren, Frank
Vollständige iterative Rekonstruktion von dreidimensionalen Positronen-Emissions-Tomogrammen unter Einsatz einer speicheresidenten Systemmatrix auf Single- und Multiprozessor-Systemen
III, 218 S., 2001
Positron emission tomography (PET) is a modern medical diagnostic procedure, which enables
non invasive views of the metabolism of living organisms. Thereby it visualises also malfunctions
which are characteristic for neurological, cardiological and oncological illnesses.
For this purpose, radioactive, positron emitting tracers are injected into the patient. The emitted
radiation is measured by detector systems and images of the activity distribution are calculated
by reconstruction procedures. Newer, high sensitive PET devices with 3D detector systems pose
substantial, so far yet unaccomplishable demands to the reconstruction programs because of the
complexity and size of data.
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