PlumX Metrics
Embed PlumX Metrics

Simultaneous iterative reconstruction method for high resolution x-ray phase-contrast tomography

Proceedings of SPIE - The International Society for Optical Engineering, ISSN: 1996-756X, Vol: 11433
2020
  • 3
    Citations
  • 0
    Usage
  • 2
    Captures
  • 0
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

Conference Paper Description

Computer vision for biomedical imaging applications is fast developing and at once demanding field of computer science. In particular, computer vision technique provides excellent results for detection and segmentation problems in tomographic imaging. X-ray phase contrast Tomography (XPCT) is a noninvasive 3D imaging technique with high sensitivity for soft tissues. Despite a considerable progress in XPCT data acquisition and data processing methods, the problem in degradation of image quality due to artifacts remains a widespread and often critical issue for computer vision applications. One of the main problems originates from a sample alteration during a long tomographic scan. We proposed and tested Simultaneous Iterative Reconstruction algorithm with Total Variation regularization to reduce the number of projections in high resolution XPCT scans of ex-vivo mouse spinal cord. We have shown that the proposed algorithm allows tenfold reducing the number of projections and, therefore, the exposure time, with conservation of the important morphological information in 3D image with quality acceptable for computer graphics and computer vision applications. Our research paves a way for more effective implementation of advanced computer technologies in phase contrast tomographic research.

Bibliographic Details

Inna Bukreeva; Viktor Asadchikov; Alexey Buzmakov; Marina Chukalina; Anastasia Ingacheva; Francesca Palermo; Michela Fratini; Alessia Cedola; Wolfgang Osten; Dmitry P. Nikolaev

SPIE-Intl Soc Optical Eng

Materials Science; Physics and Astronomy; Computer Science; Mathematics; Engineering

Provide Feedback

Have ideas for a new metric? Would you like to see something else here?Let us know