State of the Art: Iterative CT Reconstruction Techniques
Lucas L. Geyer,U. Joseph Schoepf,Felix G. Meinel,John W. Nance,Gorka Bastarrika,Jonathon Leipsic,Narinder Paul,Marco Rengo,Andrea Laghi,Carlo N. De Cecco,Carlo N. De Cecco +10 more
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TLDR
In this contribution, the technical bases of IR are reviewed and the currently available algorithms released by the major CT manufacturers are described and the current status of their clinical implementation is surveyed.Abstract:
The current evidence on the clinical implementation of iterative reconstruction into CT protocols shows substantial promise for major improvements in image quality, chiefly noise reduction—with subsequent radiation dose reduction—and artifact suppression.read more
Citations
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Journal ArticleDOI
Generative Adversarial Networks for Noise Reduction in Low-Dose CT
TL;DR: Noise reduction improved quantification of low-density calcified inserts in phantom CT images and allowed coronary calcium scoring in low-dose patient CT images with high noise levels.
Journal ArticleDOI
Radiomics of CT Features May Be Nonreproducible and Redundant: Influence of CT Acquisition Parameters.
R. Berenguer,Pastor-Juan Mdr,Jesús Canales-Vázquez,Miguel Castro-García,M.V. Villas,Mansilla Legorburo F,Sebastià Sabater +6 more
TL;DR: Many RFs were redundant and nonreproducible, and if all the CT parameters are fixed except field of view, tube voltage, and milliamperage, then the information provided by the analyzed RFs can be summarized in only 10 RFs because of redundancy.
Journal ArticleDOI
A Perspective on Deep Imaging
TL;DR: The combination of tomographic imaging and deep learning, or machine learning in general, promises to empower not only image analysis but also image reconstruction as discussed by the authors, and the latter aspect is considered in this perspective article with an emphasis on medical imaging to develop a new generation of image reconstruction theories and techniques.
Journal ArticleDOI
3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network
Hongming Shan,Yi Zhang,Qingsong Yang,Uwe Kruger,Mannudeep K. Kalra,Ling Sun,Wenxiang Cong,Ge Wang +7 more
TL;DR: A conveying path-based convolutional encoder-decoder (CPCE) network in 2-D and 3-D configurations within the GAN framework for LDCT denoising, which has a better performance in that it suppresses image noise and preserves subtle structures.
Journal ArticleDOI
Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction.
Hongming Shan,Atul Padole,Fatemeh Homayounieh,Uwe Kruger,Ruhani Doda Khera,Chayanin Nitiwarangkul,Chayanin Nitiwarangkul,Mannudeep K. Kalra,Ge Wang +8 more
TL;DR: In this article, a modularized neural network for low-dose CT (LDCT) was proposed and compared with commercial iterative reconstruction methods from three leading CT vendors, and the learned workflow allows radiologists-in-the-loop to optimize the denoising depth in a task-specific fashion.
References
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Computerized transverse axial scanning (tomography): Part I. Description of system. 1973.
TL;DR: A technique in which X-ray transmission readings are taken through the head at a multitude of angles: from these data, absorption values of the material contained within the head are calculated on a computer and presented as a series of pictures of slices of the cranium.
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Radiation exposure from CT scans in childhood and subsequent risk of leukaemia and brain tumours: a retrospective cohort study
Mark S. Pearce,J Salotti,Mark P. Little,Kieran McHugh,Choonsik Lee,Kwang Pyo Kim,Nicola Howe,Cécile M. Ronckers,Preetha Rajaraman,Alan W. Craft,Louise Parker,Amy Berrington de Gonzalez +11 more
TL;DR: Use of CT scans in children to deliver cumulative doses of about 50 mGy might almost triple the risk of leukaemia and doses ofabout 60 m Gy might triple therisk of brain cancer.
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Algebraic Reconstruction Techniques (ART) for three-dimensional electron microscopy and X-ray photography
TL;DR: The method works for totally asymmetric objects, and requires little computer time or storage, and is also applicable to X-ray photography, and may greatly reduce the exposure compared to current methods of body-section radiography.
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Cancer risk in 680 000 people exposed to computed tomography scans in childhood or adolescence: data linkage study of 11 million Australians
John D. Mathews,Anna V. Forsythe,Zoe Brady,Martin W Butler,Stacy Goergen,Graham Byrnes,Graham G. Giles,Anthony Wallace,Philip R Anderson,Philip R Anderson,Tenniel Guiver,Paul McGale,Timothy M. Cain,James G. Dowty,Adrian Bickerstaffe,Sarah C. Darby +15 more
TL;DR: The increased incidence of cancer after CT scan exposure in this cohort was mostly due to irradiation, and future CT scans should be limited to situations where there is a definite clinical indication, with every scan optimised to provide a diagnostic CT image at the lowest possible radiation dose.
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Simultaneous algebraic reconstruction technique (SART): a superior implementation of the art algorithm.
TL;DR: This implementation of the Algebraic Reconstruction Technique appears to have a computational advantage over the more traditional implementation of ART and potential applications include image reconstruction in conjunction with ray tracing for ultrasound and microwave tomography.
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