Sentence examples for model based reconstruction from inspiring English sources

Model based reconstruction methods taking into account the finite detector size have been proposed to improve the accuracy [ 21].

Model based reconstruction algorithms are quite suitable for the imaging problem addressed in this work [ 24, 28, 29].

In a more probabilistic approach, Hirotaka Matsumoto (University of Tokyo) presented a mixture model based reconstruction method (MixSIH) and a new quality metric (MC) [ 23].

Spatial frequency domain imaging (SFDI) is used to quantify absorption and scattering properties of turbid media by employing multi-frequency structured light illumination scheme and model based reconstruction [ 17].

Other ME-model based reconstructions may include a module to simulate plasmid induction and subsequent protein secretion.

We present various techniques, from tube current modulation to low dose and ultra low dose CT with adapative statistical iterative reconstruction (ASIR) and model based iterative reconstruction (MBIR), that introduce much lower radiation dose, while remain diagnostic for lung cancer screening.

Our Bayesian Hierarchical Model (BHM) based reconstructions generally agree with earlier shorter regional temperature reconstructions but are more stable due to additional temperature sensitive proxies.

Throughout the presented phylogenetic analyses, hierarchical likelihood ratio test statistics were calculated using the program Modeltest 3.06 [ 44] to evaluate appropriate models of molecular evolution for model based tree reconstructions, and phylogenetic reconstruction based on NJ, ML and MP criteria were calculated with the PAUP* program package (version 4.0b5) [ 45].

Diffuse reflectance imaging of the skin and model based image reconstruction of skin chromophores has already found its application for successfully assessing parameters for healthy and diseased skin [ 1– 7].

Consequently, in model based tree reconstruction methods, like Bayesian inference and Maximum Likelihood, it should be reasonable to use specific RNA models (which can be seen as an algorithmic equivalent to weighting stem positions in Maximum Parsimony) as simply applying a standard DNA model to data from one part of the helical regions.

The results of the effect of model selection on invariant based reconstruction are surprising.