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Showing 1 to 9 of 9 for “"MLEM"”.
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Development of stopping rule methods for the MLEM and OSEM algorithms used in PET image reconstruction
… the development of stopping rule methods for the MLEM and OSEM algorithms used in image reconstruction positron emission tomography (PET). The development of the stopping rules is based on the study of the properties of both algorithms. Analyzing their mathematical expressions, it can be observed …
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A prototype Compton imager : simulations, measurements and algorithm development
… Maximum Likelihood Expectation Maximization (MLEM) is an iterative statistical algorithm that reconstructs the most probable source distribution for a given data set. Normally, MLEM makes computations for each possible combination of energy and position, however this becomes a prohibitively …
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Image reconstruction and imaging configuration optimization with a novel nanotechnology enabled breast tomosynthesis multi-beam X-ray system
… maximum likelihood expectation maximization (MLEM), ordered-subset maximum likelihood expectation maximization (OS-MLEM), simultaneous algebraic reconstruction technique (SART), were implemented to fit our system design. An accelerated MLEM algorithm was proposed, which significantly reduced …
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C-ARM TOMOGRAPHIC IMAGING TECHNIQUE FOR DETECTION OF KIDNEY STONES
… maximum likelihood expectation maximization (MLEM), ordered- subset maximum likelihood expectation maximization (OS-MLEM) and Pre-computed penalized likelihood reconstruction (PPL). Three reconstruction methods were investigated including: pixel-driven method (PDM), ray-driven method (RDM) and …
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Implementation and Analysis of 3-D Tomographic Reconstructions from Space-Based Imaging Platforms
… This work covers an implementation of MLEM for use in satellite images pointing nadir. The algorithm is fast enough to be performed in real-time for many applications. This work covers the details of the reconstruction implementation and the challenges it poses and then a detailed study …
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Low-dose imaging of liver diseases through neutron stimulated emission computed tomography: Simulations in GEANT4
… techniques for dose reduction, (b) modify MLEM iterative image reconstruction algorithm to incorporate the new acquisition techniques and (c) evaluate the performance of this combined technique on a simulated patient population. </p><p>The two dose-reduction, acquisition techniques that …
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Γεωμετρική προσέγγιση ανακατασκευής μέσω τριπλής σύμπτωσης στην πολυφωτονική απεικόνιση τύπου PET
… όπως η μεγιστοποίηση της πιθανοφάνειας (MLEM). Στο Κεφάλαιο 6 παρουσιάζονται τα εργαλεία για την εκτέλεση των προσομοιώσεων και την ανάλυση των δεδομένων, GEANT4/GATE, PAW. Στο Κεφάλαιο 7 παρουσιάζεται όλη η διαδικασία που ακολουθήθηκε προς την ανάπτυξη και εφαρμογή του αλγορίθμου …
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Bevacizumab Effect on Topotecan Pharmacokinetics in a Murine Orthotopic Rhabdomyosarcoma Xenograft Model
… the maximal likelihood expectation maximization (MLEM) method in ADAPT 5 to predict the plasma and tumor concentration-time profile, to estimate the pharmacokinetic parameters of individual mouse and mice population, and to evaluate the effect of BEV on TPT systemic and tumoral pharmacokinetics. …
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System-on-chip-based radiation imaging system with pulse shape discrimination capability
… The maximum-likelihood expectation-maximization (MLEM) image reconstruction algorithms was implemented on a PYNQ-Z2 System-on-Chip board and optimized using High-Level Synthesis. The implementation showed the feasibility of using FPGAs for real-time, on-board pulse processing by comparing the …