SwePub
Sök i LIBRIS databas

  Utökad sökning

WFRF:(Wetzer Elisabeth)
 

Sökning: WFRF:(Wetzer Elisabeth) > Global Parameter Op...

Global Parameter Optimization for Multimodal Biomedical Image Registration

Pielawski, Nicolas (författare)
Öfverstedt, Johan (författare)
Uppsala universitet,Bildanalys och människa-datorinteraktion
Wetzer, Elisabeth (författare)
Uppsala universitet,Bildanalys och människa-datorinteraktion
 (creator_code:org_t)
Engelska.
  • Annan publikation (övrigt vetenskapligt/konstnärligt)
Abstract Ämnesord
Stäng  
  • Multimodal image registration and fusion is a highly relevant problem in a variety of application domains, from biomedical imaging and remote sensing to computer vision. However, combining images originating from different sources (e.g. microscopes or scanners) is challenging as they are in different coordinate systems, and their content may vary greatly. To align underlying structures in multiple modalities and fuse their complementary information, image registration is required. Methods for registration generally rely on a similarity or distance function between images and an optimization algorithm to find the geometric transformation between two images -- translation and rotation for rigid registration. Global optimization can be applied to multimodal image registration such that the best transformation is guaranteed to be discovered given a large enough computational budget, eliminating failure cases of local optimization algorithms converging to a local optimum. Recently, several methods for global multimodal image registration were developed, however relying on a grid or random search to find the best orientation. We propose a framework using Bayesian optimization to find the optimal orientation between images, which combines the favorable properties of global optimization with the sophisticated parameter search of Bayesian optimization to accelerate the convergence rate. This manuscript presents preliminary results on the faster convergence rate of the Bayesian optimizer in comparison to random search on a small set of multimodal image pairs of brains acquired by positron emission tomography and magnetic resonance imaging.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Medicinteknik -- Medicinsk bildbehandling (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Medical Engineering -- Medical Image Processing (hsv//eng)

Nyckelord

Bioinformatics
Bioinformatik

Publikations- och innehållstyp

vet (ämneskategori)
ovr (ämneskategori)

Till lärosätets databas

Sök utanför 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 Stäng

Kopiera och spara länken för att återkomma till aktuell vy