Journal of X-Ray Science and Technology - Volume 13, issue 1
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Impact Factor 2022: 2.442
Journal of X-Ray Science and Technology is an international journal designed for the diverse community (biomedical, industrial and academic) of users and developers of novel x-ray imaging techniques. The purpose of the journal is to provide clear and full coverage of new developments and applications in the field.
Areas such as x-ray microlithography, x-ray astronomy and medical x-ray imaging as well as new technologies arising from fields traditionally considered unrelated to x rays (semiconductor processing, accelerator technology, ionizing and non-ionizing medical diagnostic and therapeutic modalities, etc.) present opportunities for research that can meet new challenges as they arise.
Abstract: A hand/joint radiograph from systems such as C-arm is a two-dimensional (2D) projection of a three-dimensional (3D) object. In this paper we describe a simple tomosynthesis algorithm that is particularly suited for 3D imaging of joints based on a C-arm system. The algorithm is tested and evaluated using projections from simulated joints and projections generated with a C-arm system from joints formed by chicken bones. The results obtained demonstrate that the algorithm is able to provide…accurate 3D reconstruction of joint structures.
Abstract: Computed tomography plays an important role in industrial non-destructive testing, medical applications, astronomy and many other fields to analyze inner structures of scanned objects. This article addresses a new development of non-destructive testing software platform to efficiently detect inner flaws of space industrial components. As the key of our software, reconstruction algorithms of 2D industrial computed tomography including preprocess of raw data, re-arrange algorithm and filtered back-projection algorithms have been described in…detail in this article. Experimental results with four groups of real raw data from China Aerospace Science and Technology Corporation confirmed the accuracy of the reconstruction algorithm in our software. Forward algorithm of 2D industrial computed tomography is another important component of our software, which conveniently generates parallel-beam and fan-beam raw data with given parameters.
Keywords: reconstruction algorithms, forward algorithms, industrial CT, imaging data preprocess
Abstract: In the context of target optimization for multi-keV x-ray production in laser experiment, we have adapted a method for visual observation of the conversion efficiency calculated from a large number of 1-D hydro-radiative simulations. A Monte Carlo method based on uniformly distributed random values for parameters in predefinite ranges has been used. The conversion efficiency can be considered as one constraint which leads to correlations between parameters. In addition, the sensitivity of the conversion efficiency to…the various target and laser parameters appears visually.
Abstract: Many different performance measures are used to characterize x-ray optics, sometimes resulting in radically different rankings. This makes it difficult, even for practitioners intimately involved in the field, to compare results from different optics and for different applications. To truly understand and appreciate advances in a specific type of optic – polycapillary optics – different methods of optic comparison are evaluated and their relevance explained. These methods include transmission efficiency, flux, flux…density, equivalent distance, normalized gain, insertion gain, and effective capture angle. Polycapillary focusing optics with varying input and output parameters are compared using these different performance standards.
Keywords: polycapillary optics, transmission efficiency, equivalent distance, normalized gain, insertion gain, effective capture angle
Abstract: In previous studies, we developed a blind deblurring algorithm based on the edge-to-noise ratio (ENR) and EM algorithm to improve the quality of spiral CT images. In this work, we apply the Wiener filter in place of the EM algorithm to improve the timing performance. The algorithm works well in patient studies. After fully automatic blind deblurring, the conspicuity of the submillimeter features of the cochlea image is substantially improved. The new ENR-Wiener blind deblurring approach…significantly improves the computation speed with comparable image quality in previous studies.