State of the Art: Iterative CT Reconstruction Techniques
| Autor: | U. Joseph Schoepf, Lucas L. Geyer, Gorka Bastarrika, Felix G. Meinel, Narinder Paul, Andrea Laghi, Marco Rengo, Jonathon Leipsic, Carlo N. De Cecco, John W. Nance |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
medicine.medical_specialty
axial scanning tomography Image quality Image processing Iterative reconstruction filtered back-projection radiation-dose reduction abdominal computed-tomography improved image quality initial clinical-experience high-resolution kernel multislice helical CT coronary-angiography diagnostic-accuracy medicine Image Processing Computer-Assisted Humans Radiology Nuclear Medicine and imaging Computer vision Medical physics business.industry Radiation dose Noise State (computer science) Tomography Artificial intelligence business Tomography X-Ray Computed Ct reconstruction Algorithms |
| Zdroj: | Radiology. 276(2) |
| ISSN: | 1527-1315 |
| Popis: | Owing to recent advances in computing power, iterative reconstruction (IR) algorithms have become a clinically viable option in computed tomographic (CT) imaging. Substantial evidence is accumulating about the advantages of IR algorithms over established analytical methods, such as filtered back projection. IR improves image quality through cyclic image processing. Although all available solutions share the common mechanism of artifact reduction and/or potential for radiation dose savings, chiefly due to image noise suppression, the magnitude of these effects depends on the specific IR algorithm. In the first section of this contribution, the technical bases of IR are briefly reviewed and the currently available algorithms released by the major CT manufacturers are described. In the second part, the current status of their clinical implementation is surveyed. Regardless of the applied IR algorithm, the available evidence attests to the substantial potential of IR algorithms for overcoming traditional limitations in CT imaging. |
| Databáze: | OpenAIRE |
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