Visual C++ Implementation of Sinogram-based Adaptive Iterative Reconstruction for Sparse View X-Ray CT
D. Trinca, Y. Zhong, Y. Wang, T. Mamyrbayev, E. Libin

TL;DR
This paper presents a C++ implementation of an adaptive iterative reconstruction algorithm for sparse view X-ray CT, achieving comparable accuracy and speed to proprietary methods, thus enabling dose reduction.
Contribution
It introduces a novel adaptive iterative reconstruction algorithm and provides an open-source C++ implementation with a user interface.
Findings
Results comparable to proprietary algorithms in accuracy
Achieves similar execution times
Supports dose reduction in X-ray CT
Abstract
With the availability of more powerful computing processors, iterative reconstruction algorithms have recently been successfully implemented as an approach to achieving significant dose reduction in X-ray CT. In this report, we describe our proposal of an adaptive iterative reconstruction algorithm for X-ray CT, that is shown to provide results comparable to those obtained by proprietary algorithms, both in terms of reconstruction accuracy and execution time. Implementation code in the C language is provided, along with example of user interface.
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Taxonomy
TopicsMedical Imaging Techniques and Applications · Advanced X-ray and CT Imaging · Radiation Dose and Imaging
