Detail publikace

A priori conditions for efficient image reconstructions

OSTANINA, K.

Originální název

A priori conditions for efficient image reconstructions

Anglický název

A priori conditions for efficient image reconstructions

Jazyk

en

Originální abstrakt

The image reconstruction problem based on electrical impedance tomography is still a widely investigated problem with many applications in physical and biological sciences. The paper proposes a new way to improve the quality of the image reconstruction of electrical impedance tomography. A developed algorithm combines the advantages of the Tikhonov regularization method with advantages of the Level set method. The significant improvement is also reached when a priori conditions are introduced. In this paper the obtained reconstruction results are presented.

Anglický abstrakt

The image reconstruction problem based on electrical impedance tomography is still a widely investigated problem with many applications in physical and biological sciences. The paper proposes a new way to improve the quality of the image reconstruction of electrical impedance tomography. A developed algorithm combines the advantages of the Tikhonov regularization method with advantages of the Level set method. The significant improvement is also reached when a priori conditions are introduced. In this paper the obtained reconstruction results are presented.

Dokumenty

BibTex 


@inproceedings{BUT33911,
  author="Ksenia {Kořínková}",
  title="A priori conditions for efficient image reconstructions",
  annote="The image reconstruction problem based on electrical impedance tomography is still a widely investigated problem with many applications in physical and biological sciences. The paper proposes a new way to improve the quality of the image reconstruction of electrical impedance tomography. A developed algorithm combines the advantages of the Tikhonov regularization method with advantages of the Level set method. The significant improvement is also reached when a priori conditions are introduced. In this paper the obtained reconstruction results are presented.",
  address="Novapress, s.r.o.",
  booktitle="Proceedings of the 16th Conference Student EEICT 2010.",
  chapter="33911",
  edition="1",
  howpublished="print",
  institution="Novapress, s.r.o.",
  year="2010",
  month="april",
  pages="72--76",
  publisher="Novapress, s.r.o.",
  type="conference paper"
}