Detail publikace

Content-aware low-rank plus sparse model for perfusion MRI reconstruction

DAŇKOVÁ, M. RAJMIC, P.

Originální název

Content-aware low-rank plus sparse model for perfusion MRI reconstruction

Typ

audiovizuální tvorba

Jazyk

angličtina

Originální abstrakt

Perfusion magnetic resonance imaging is a promising diagnostic method in medicine. In order to perform perfusion analysis, leading to e.g. revealing a tumor, one starts with acquiring the anatomical image before injecting the contrast agent. Based on the inferred spatial distribution of organs, we develop a natural, content-aware, way of extension of the low-rank plus sparse model for reconstruction of undersampled perfusion MRI data.

Klíčová slova

MRI, compressed sensing, perfusion, L+S model

Autoři

DAŇKOVÁ, M.; RAJMIC, P.

Vydáno

6. 6. 2016

Místo

Strobl, Rakousko

Strany od

1

Strany do

1

Strany počet

1

BibTex

@misc{BUT128072,
  author="Marie {Mangová} and Pavel {Rajmic}",
  title="Content-aware low-rank plus sparse model for perfusion MRI reconstruction",
  year="2016",
  pages="1--1",
  address="Strobl, Rakousko",
  note="presentation"
}