Supercomputer technologies in tomographic imaging applications | Zendy

A. V. Goncharsky | Zendy; С. Романов | Zendy; Sergey Seryozhnikov | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Supercomputer technologies in tomographic imaging applications

Author(s) -

A. V. Goncharsky,

С. Романов,

Sergey Seryozhnikov

Publication year - 2016

Publication title -

supercomputing frontiers and innovations

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.375

H-Index - 16

eISSN - 2409-6008

pISSN - 2313-8734

DOI - 10.14529/jsfi160103

Subject(s) - tomography , inverse problem , medical imaging , computer science , medical physics , tomographic reconstruction , iterative reconstruction , radiology , computer vision , artificial intelligence , medicine , mathematics , mathematical analysis

Currently, tomographic imaging is widely used in medical and industrial non-destructive testing applications. X-ray tomography is the prevalent imaging technology. Modern medical X-ray CT scanners provide up to 1 mm spatial resolution. The disadvantage of X-ray tomography is that it cannot be used for regular medical examinations. Early breast cancer diagnosis is one of the most pressing issues in modern healthcare. Ultrasound tomography devices are being developed in USA, Germany and Russia to address this problem. One of the main challenges in ultrasound tomographic imaging is the development of efficient algorithms for solving inverse problems of wave tomography, which are nonlinear three-dimensional coefficient inverse problems for a hyperbolic differential equation. Solving such computationally-expensive problems requires the use of supercomputers.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research