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Technical Note: Practical implementation strategies of cycloidal computed tomography
- Source :
- Medical Physics. 48:6524-6530
- Publication Year :
- 2021
- Publisher :
- Wiley, 2021.
-
Abstract
- Purpose: Cycloidal computed tomography is a novel imaging concept which combines a highly structured x-ray beam, offset lateral under-sampling, and mathematical data recovery to obtain high-resolution images efficiently and flexibly, even with relatively large source focal spots and detector pixels. The method reduces scanning time and, potentially, delivered dose compared to other sampling schemes. This study aims to present and discuss several implementation strategies for cycloidal computed tomography (CT) in order to increase its ease of use and facilitate uptake within the imaging community. Methods: The different implementation strategies presented are step-and-shoot, continuous unidirectional, continuous back-and-forth, and continuous pixel-wise scanning. In step-and-shoot scans the sample remains stationary while frames are acquired, whereas in all other cases the sample moves through the scanner continuously. The difference between the continuous approaches is the trajectory by which the sample moves within the field of view. Results: All four implementation strategies are compatible with a standard table-top x-ray setup. With the experimental setup applied here, step-and-shoot acquisitions yield the best spatial resolution (around 30µm), but are the most time-consuming (1.4h). Continuous unidirectional and back-and-forth images have resolution between 30 and 40µm, and are faster (35min). Continuous pixel-wise images are equally time-efficient, although technical challenges caused a small loss in image quality with a resolution of about 50µm. Conclusion: The authors show that cycloidal CT can be implemented in a variety of ways with high quality results. They believe this posits cycloidal CT as a powerful imaging alternative to more time-consuming and less flexible methods in the field.
- Subjects :
- Scanner
Offset (computer science)
Computer science
Image quality
Field of view
phase contrast
Phantoms
Imaging
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
Sampling (signal processing)
Computer vision
spatial resolution
Tomography
Image resolution
Pixel
Phantoms, Imaging
business.industry
X-Rays
Detector
General Medicine
micro computed tomography
X-Ray Computed
Radiography
cycloidal computed tomography
030220 oncology & carcinogenesis
structured illumination
Artificial intelligence
Tomography, X-Ray Computed
business
Subjects
Details
- ISSN :
- 24734209 and 00942405
- Volume :
- 48
- Database :
- OpenAIRE
- Journal :
- Medical Physics
- Accession number :
- edsair.doi.dedup.....9e6e5e6049d3445cf84ffbbd54de96e9
- Full Text :
- https://doi.org/10.1002/mp.14821