نتایج جستجو برای: simultaneous iterative reconstruction techniques

تعداد نتایج: 896892  

Journal: :international journal of nonlinear analysis and applications 0
touraj nikazad school of mathematics, iran university of science and technology mahdi mirzapour school of mathematics, iran university of science and technology

in this paper, we study projected non-stationary simultaneous it-erative reconstruction techniques (p-sirt). based on algorithmic op-erators, convergence result are adjusted with opial’s theorem. the advantages of p-sirt are demonstrated on examples taken from to-mographic imaging.

Journal: :International Journal of Biomedical Imaging 2006
Jinxiao Pan Tie Zhou Yan Han Ming Jiang

We propose two variable weighted iterative reconstruction algorithms (VW-ART and VW-OS-SART) to improve the algebraic reconstruction technique (ART) and simultaneous algebraic reconstruction technique (SART) and establish their convergence. In the two algorithms, the weighting varies with the geometrical direction of the ray. Experimental results with both numerical simulation and real CT data ...

2012
Alan Chu Douglas C. Noll

INTRODUCTION: Simultaneous multislice imaging decreases the required scan time for a given volume, which is particularly beneficial in fMRI, as well as in a variety of other applications. We propose a new method for spiral simultaneous multislice imaging that uses a z-gradient modulation during readout, along with a multiple-coil receive array. Previous methods have used a z-gradient encoding o...

Journal: :Ultramicroscopy 2011
Hamed Heidari Mezerji Wouter Van den Broek Sara Bals

It is not straightforward to determine resolution for a 3D reconstruction when performing an electron tomography experiment. Different contributions such as missing wedge and misalignment add up and often influence the final resolution in an anisotropic manner. The conventional resolution measures can not be used for all of the reconstruction techniques, especially for iterative techniques whic...

2016
Jiabei Zheng Jeffrey A. Fessler Heang-Ping Chan

This paper describes a new reconstruction method for digital breast tomosynthesis (DBT). The new method incorporates detector blur into the forward model. The detector blur introduces correlation in the measurement noise. We formulate it as a regularized quadratic optimization problem with data-fit term that accounts for the non-diagonal noise covariance matrix. By making a few assumptions base...

2010
TOMMY ELFVING TOURAJ NIKAZAD

This paper is concerned with the Simultaneous Iterative Reconstruction Technique (SIRT) class of iterative methods for solving inverse problems. Based on a careful analysis of the semi-convergence behavior of these methods, we propose two new techniques to specify the relaxation parameters adaptively during the iterations, so as to control the propagated noise component of the error. The advant...

Journal: :iranian journal of nuclear medicine 2008
arman rahmim jing tang

in this paper, we review novel techniques in the emerging field of spatiotemporal 4d pet imaging. we will discuss existing limitations in conventional dynamic pet imaging which involves independent reconstruction of dynamic pet datasets. various approaches that seek to attempt some or all of these limitations are reviewed in this work, including techniques that utilize iterative temporal smooth...

Arman Rahmim Jing Tang

  In this paper, we review novel techniques in the emerging field of spatiotemporal 4D PET imaging. We will discuss existing limitations in conventional dynamic PET imaging which involves independent reconstruction of dynamic PET datasets. Various approaches that seek to attempt some or all of these limitations are reviewed in this work, including techniques that util...

Journal: :Journal of biomedical optics 2006
Mathews Jacob Yoram Bresler Vlad Toronov Xiaofeng Zhang Andrew Webb

We introduce a new algorithm for the reconstruction of functional brain activations from near-infrared spectroscopic imaging (NIRSI) data. While NIRSI offers remarkable biochemical specificity, the attainable spatial resolution with this technique is rather limited, mainly due to the highly scattering nature of brain tissue and the low number of measurement channels. Our approach exploits the s...

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