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Alignment theory of parallel-beam computed tomography image reconstruction for elastic-type objects using virtual focusing method
- Source :
- PLoS ONE, PLoS ONE, Vol 13, Iss 6, p e0198259 (2018)
- Publication Year :
- 2018
- Publisher :
- Public Library of Science, 2018.
-
Abstract
- X-ray computed tomography has been studied in various fields. Considerable effort has been focused on reconstructing the projection image set from a rigid-type specimen. However, reconstruction of images projected from an object showing elastic motion has received minimal attention. In this paper, a mathematical solution to reconstructing the projection image set obtained from an object with specific elastic motions-periodically, regularly, and elliptically expanded or contracted specimens-is proposed. To reconstruct the projection image set from expanded or contracted specimens, methods are presented for detection of the sample's motion modes, mathematical rescaling of pixel values, and conversion of the projection angle for a common layer.
- Subjects :
- 0301 basic medicine
Computer science
Image Processing
lcsh:Medicine
030218 nuclear medicine & medical imaging
Diagnostic Radiology
0302 clinical medicine
Electronics Engineering
Medicine and Health Sciences
Image Processing, Computer-Assisted
Computer vision
lcsh:Science
Tomography
Multidisciplinary
Radiology and Imaging
Physics
Classical Mechanics
Sample (graphics)
Bone Imaging
Calcium Imaging
Deformation
Chemistry
Radon
Physical Sciences
Engineering and Technology
Research Article
Chemical Elements
Imaging Techniques
Motion (geometry)
Image processing
Neuroimaging
Iterative reconstruction
Type (model theory)
Research and Analysis Methods
Charge-Coupled Devices
Set (abstract data type)
03 medical and health sciences
Diagnostic Medicine
Humans
Damage Mechanics
Pixel
business.industry
lcsh:R
Biology and Life Sciences
Models, Theoretical
Object (computer science)
Elasticity
Computed Axial Tomography
X-Ray Radiography
030104 developmental biology
Signal Processing
lcsh:Q
Artificial intelligence
business
Tomography, X-Ray Computed
Neuroscience
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 13
- Issue :
- 6
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....eae06c7700f1a9e2e6b10c303f7f5ac7