SwePub
Sök i LIBRIS databas

  Extended search

WFRF:(Fhager Andreas 1976)
 

Search: WFRF:(Fhager Andreas 1976) > (2020-2023) > Expansion of the no...

Expansion of the nodal-adjoint method for simple and efficient computation of the 2d tomographic imaging jacobian matrix

Hosseinzadegan, Samar, 1987 (author)
Chalmers tekniska högskola,Chalmers University of Technology
Fhager, Andreas, 1976 (author)
Chalmers tekniska högskola,Chalmers University of Technology
Persson, Mikael, 1959 (author)
Chalmers tekniska högskola,Chalmers University of Technology
show more...
Geimer, Shireen D. (author)
Meaney, Paul M, 1960 (author)
show less...
 (creator_code:org_t)
2021-01-22
2021
English.
In: Sensors. - : MDPI AG. - 1424-8220. ; 21:3, s. 1-16
  • Journal article (other academic/artistic)
Abstract Subject headings
Close  
  • This paper focuses on the construction of the Jacobian matrix required in tomographic reconstruction algorithms. In microwave tomography, computing the forward solutions during the iterative reconstruction process impacts the accuracy and computational efficiency. Towards this end, we have applied the discrete dipole approximation for the forward solutions with significant time savings. However, while we have discovered that the imaging problem configuration can dramatically impact the computation time required for the forward solver, it can be equally beneficial in constructing the Jacobian matrix calculated in iterative image reconstruction algorithms. Key to this implementation, we propose to use the same simulation grid for both the forward and imaging domain discretizations for the discrete dipole approximation solutions and report in detail the theoretical aspects for this localization. In this way, the computational cost of the nodal adjoint method decreases by several orders of magnitude. Our investigations show that this expansion is a significant enhancement compared to previous implementations and results in a rapid calculation of the Jacobian matrix with a high level of accuracy. The discrete dipole approximation and the newly efficient Jacobian matrices are effectively implemented to produce quantitative images of the simplified breast phantom from the microwave imaging system.

Subject headings

NATURVETENSKAP  -- Matematik -- Beräkningsmatematik (hsv//swe)
NATURAL SCIENCES  -- Mathematics -- Computational Mathematics (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Medicinteknik -- Medicinsk bildbehandling (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Medical Engineering -- Medical Image Processing (hsv//eng)

Keyword

Computational efficiency
Microwave tomography
Jacobian matrix
Breast imaging
Nodal adjoint method
Discrete dipole approximation

Publication and Content Type

art (subject category)
vet (subject category)

Find in a library

  • Sensors (Search for host publication in LIBRIS)

To the university's database

Search outside SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view