Infimal Convolution of Total Generalized Variation Functionals (ICTGV) for dynamic MRI

Matthias Schlögl, Martin Holler, Kristian Bredies, Rudolf Stollberger

Research output: Contribution to conferenceAbstractResearchpeer-review

Abstract

The concept of ICTGV provides a
suitable regularisation strategy to stabilize the
reconstruction of images sequences from
incomplete and noisy MR data. It is successfully applied in the context of dynamic MRI applications to enable a further increase of
desired higher spatial and temporal resolution
and spatial coverage for cine cardiac imaging,
DCE-MRI or quantitative MRI. It furthermore
provides a new approach for local
decomposition into components with slower
and faster temporal dynamics.
Original languageEnglish
Publication statusPublished - 7 Sep 2017
Event20. Jahrestagung der Deutschen Sektion der ISMRM - Deutsches Primatenzentrum, Göttingen, Germany
Duration: 7 Sep 20179 Sep 2017
Conference number: 20
http://www.dpz.eu/de/abteilung/funktionelle-bildgebung/ds-ismrm/20-jahrestagung-der-deutschen-sektion-der-ismrm.html

Conference

Conference20. Jahrestagung der Deutschen Sektion der ISMRM
Abbreviated titleDSISMRM
CountryGermany
CityGöttingen
Period7/09/179/09/17
Internet address

Fingerprint

decomposition

Fields of Expertise

  • Human- & Biotechnology

Cite this

Schlögl, M., Holler, M., Bredies, K., & Stollberger, R. (2017). Infimal Convolution of Total Generalized Variation Functionals (ICTGV) for dynamic MRI. Abstract from 20. Jahrestagung der Deutschen Sektion der ISMRM, Göttingen, Germany.

Infimal Convolution of Total Generalized Variation Functionals (ICTGV) for dynamic MRI. / Schlögl, Matthias; Holler, Martin; Bredies, Kristian; Stollberger, Rudolf.

2017. Abstract from 20. Jahrestagung der Deutschen Sektion der ISMRM, Göttingen, Germany.

Research output: Contribution to conferenceAbstractResearchpeer-review

Schlögl, M, Holler, M, Bredies, K & Stollberger, R 2017, 'Infimal Convolution of Total Generalized Variation Functionals (ICTGV) for dynamic MRI' 20. Jahrestagung der Deutschen Sektion der ISMRM, Göttingen, Germany, 7/09/17 - 9/09/17, .
Schlögl M, Holler M, Bredies K, Stollberger R. Infimal Convolution of Total Generalized Variation Functionals (ICTGV) for dynamic MRI. 2017. Abstract from 20. Jahrestagung der Deutschen Sektion der ISMRM, Göttingen, Germany.
Schlögl, Matthias ; Holler, Martin ; Bredies, Kristian ; Stollberger, Rudolf. / Infimal Convolution of Total Generalized Variation Functionals (ICTGV) for dynamic MRI. Abstract from 20. Jahrestagung der Deutschen Sektion der ISMRM, Göttingen, Germany.
@conference{9434dc9d0369460586c1998c33065708,
title = "Infimal Convolution of Total Generalized Variation Functionals (ICTGV) for dynamic MRI",
abstract = "The concept of ICTGV provides a suitable regularisation strategy to stabilize the reconstruction of images sequences from incomplete and noisy MR data. It is successfully applied in the context of dynamic MRI applications to enable a further increase of desired higher spatial and temporal resolution and spatial coverage for cine cardiac imaging, DCE-MRI or quantitative MRI. It furthermore provides a new approach for local decomposition into components with slower and faster temporal dynamics.",
author = "Matthias Schl{\"o}gl and Martin Holler and Kristian Bredies and Rudolf Stollberger",
year = "2017",
month = "9",
day = "7",
language = "English",
note = "20. Jahrestagung der Deutschen Sektion der ISMRM, DSISMRM ; Conference date: 07-09-2017 Through 09-09-2017",
url = "http://www.dpz.eu/de/abteilung/funktionelle-bildgebung/ds-ismrm/20-jahrestagung-der-deutschen-sektion-der-ismrm.html",

}

TY - CONF

T1 - Infimal Convolution of Total Generalized Variation Functionals (ICTGV) for dynamic MRI

AU - Schlögl, Matthias

AU - Holler, Martin

AU - Bredies, Kristian

AU - Stollberger, Rudolf

PY - 2017/9/7

Y1 - 2017/9/7

N2 - The concept of ICTGV provides a suitable regularisation strategy to stabilize the reconstruction of images sequences from incomplete and noisy MR data. It is successfully applied in the context of dynamic MRI applications to enable a further increase of desired higher spatial and temporal resolution and spatial coverage for cine cardiac imaging, DCE-MRI or quantitative MRI. It furthermore provides a new approach for local decomposition into components with slower and faster temporal dynamics.

AB - The concept of ICTGV provides a suitable regularisation strategy to stabilize the reconstruction of images sequences from incomplete and noisy MR data. It is successfully applied in the context of dynamic MRI applications to enable a further increase of desired higher spatial and temporal resolution and spatial coverage for cine cardiac imaging, DCE-MRI or quantitative MRI. It furthermore provides a new approach for local decomposition into components with slower and faster temporal dynamics.

M3 - Abstract

ER -