Introduction: Motion during data acquisition can seriously degrade image quality. Motion compensated reconstruction can restore image quality if the motion is measured with suitable navigator signals. We present a new scheme for motion compensated reconstruction which can be applied to segmented Cartesian acquisitions (e.g. TSE, TFE). It can be combined with parallel imaging and is fast because...

H. Guo, Q. Zhu, T. B. Harshbarger, A. W. Song Department of Biomedical Engineering, Duke University, Durham, NC, United States, Brain Imaging and Analysis Center at Duke University, Durham, NC, United States, Electrical and Computer Engineering, Duke University, Durham, NC, United States Introduction To address the signal loss due to the susceptibility differences at the air/tissue interfaces, ...

SPECT imaging suffers from low spatial resolution and statistical noise. Consequently, the contrast of small structures is reduced, visual detection of defects is limited and exact quantification is difficult. To improve the contrast, it is possible to incorporate a blurring model into the iterative reconstruction process such as OSEM3D. This approach is well known to be effective, but time con...

Introduction: Iterative reconstruction techniques provide better image quality and have the potential for reconstructions with lower imaging dose than classical methods in computed tomography (CT). However, the computational speed is major concern for these iterative techniques. The system matrix calculation during the forward- and back projection is one of the most time- cons...

Electrical capacitance tomography (ECT) is used to obtain information about the distribution of a mixture of dielectric materials inside a vessel or pipe. ECT has several advantages over other reconstruction algorithms and has found many applications in the industrial fields. However, there are some difficulties with image reconstruction in ECT: The relationship between the permittivity distrib...

A novel reconstruction method is presented to improve the image quality of three dimensional (3D) datasets for samples consisting of only one material and surrounding air, obtained with high resolution X-ray Computed Tomography (μCT). It combines discrete tomography with iterative reconstruction algorithms, it is applicable for routine μCT applications and is referred to as the Experimental Dis...

For magnetic resonance imaging (MRI) with Cartesian k-space sampling, a simple inverse FFT usually suffices for image reconstruction. More sophisticated image reconstruction methods are needed for non-Cartesian k-space acquisitions. Regularized least-squares methods for image reconstruction involve minimizing a cost function consisting of a least-squares data fit term plus a regularizing roughn...

The reconstruction of dynamic PET data is usually performed using filtered backprojection algorithms (FBP). This method is fast, robust, linear and yields reliable quantitative results. However, the use of FBP for low count data, such as dynamic PET data, generally results in poor visual image quality, exhibiting high noise, disturbing streak artifacts and low contrast. These signal-to-noise ra...

This paper presents a methodology for tile image reconstruction. This methodology is integrated in a computer tool that allows automatic image analysis. Both, the reconstruction and analysis techniques are based on vectorial tools, the application of the theory of symmetry groups and perceptual psychology. Image analysis allows us to obtain information about design patterns which is used to res...