The evolution of image reconstruction for CT—from filtered back projection to artificial intelligence
The first CT scanners in the early 1970s already used iterative reconstruction algorithms;
however, lack of computational power prevented their clinical use. In fact, it took until 2009 …
however, lack of computational power prevented their clinical use. In fact, it took until 2009 …
Synchrotron X-ray analytical techniques for studying materials electrochemistry in rechargeable batteries
Rechargeable battery technologies have ignited major breakthroughs in contemporary
society, including but not limited to revolutions in transportation, electronics, and grid energy …
society, including but not limited to revolutions in transportation, electronics, and grid energy …
Low‐dose CT image and projection dataset
Purpose To describe a large, publicly available dataset comprising computed tomography
(CT) projection data from patient exams, both at routine clinical doses and simulated lower …
(CT) projection data from patient exams, both at routine clinical doses and simulated lower …
Technical aspects of dental CBCT: state of the art
As CBCT is widely used in dental and maxillofacial imaging, it is important for users as well
as referring practitioners to understand the basic concepts of this imaging modality. This …
as referring practitioners to understand the basic concepts of this imaging modality. This …
Iterative reconstruction methods in X-ray CT
M Beister, D Kolditz, WA Kalender - Physica medica, 2012 - Elsevier
Iterative reconstruction (IR) methods have recently re-emerged in transmission x-ray
computed tomography (CT). They were successfully used in the early years of CT, but given …
computed tomography (CT). They were successfully used in the early years of CT, but given …
A three‐dimensional statistical approach to improved image quality for multislice helical CT
Multislice helical computed tomography scanning offers the advantages of faster acquisition
and wide organ coverage for routine clinical diagnostic purposes. However, image …
and wide organ coverage for routine clinical diagnostic purposes. However, image …
Why do commercial CT scanners still employ traditional, filtered back-projection for image reconstruction?
Despite major advances in x-ray sources, detector arrays, gantry mechanical design and
especially computer performance, one component of computed tomography (CT) scanners …
especially computer performance, one component of computed tomography (CT) scanners …
Penalized PET reconstruction using deep learning prior and local linear fitting
Motivated by the great potential of deep learning in medical imaging, we propose an
iterative positron emission tomography reconstruction framework using a deep learning …
iterative positron emission tomography reconstruction framework using a deep learning …
Statistical image reconstruction for polyenergetic X-ray computed tomography
This paper describes a statistical image reconstruction method for X-ray computed
tomography (CT) that is based on a physical model that accounts for the polyenergetic X-ray …
tomography (CT) that is based on a physical model that accounts for the polyenergetic X-ray …
Convex optimization problem prototy** for image reconstruction in computed tomography with the Chambolle–Pock algorithm
The primal–dual optimization algorithm developed in Chambolle and Pock (CP)(2011 J.
Math. Imag. Vis. 40 1–26) is applied to various convex optimization problems of interest in …
Math. Imag. Vis. 40 1–26) is applied to various convex optimization problems of interest in …