Fast relaxation parameter mapping from undersampled data

M. Doneva; C. Stehning; P. Börnert; H. Eggers; A. Mertins

Fast relaxation parameter mapping from undersampled data

M. Doneva, C. Stehning, P. Börnert, H. Eggers, A. Mertins

Institute of Signal Processing

Abstract

Introduction:The quantitative assessment of MR parameters like T1, T2, ADC, etc. requires the acquisition of multiple images of the sameanatomy, which results in long scan times. However, these data can be described by a model with only a few parameters and in that sense they arehighly compressible. Thus, Compressed Sensing (CS) could be applied toaccelerate the data acquisition. In this work we introduce a model-basedreconstruction from undersampled data, which performs simultaneous imagereconstruction and parameter mapping and demonstrate it for the example of T1mapping.

Original language	English
Pages	2295-2295
Number of pages	1
Publication status	Published - 01.04.2009
Event	17th Meeting of the International Society for Magnetic Resonance in Medicine - Honolulu, United States Duration: 18.04.2009 → 24.04.2009 https://www.ismrm.org/09/

Conference

Conference	17th Meeting of the International Society for Magnetic Resonance in Medicine
Abbreviated title	ISMRM 2009
Country/Territory	United States
City	Honolulu
Period	18.04.09 → 24.04.09
Internet address	https://www.ismrm.org/09/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

https://www.isip.uni-luebeck.de/fileadmin/files/publications/Doneva_2295.pdf

Cite this

@conference{38ab185a4e14498091231b163fe95734,

title = "Fast relaxation parameter mapping from undersampled data",

abstract = "Introduction:The quantitative assessment of MR parameters like T1, T2, ADC, etc. requires the acquisition of multiple images of the sameanatomy, which results in long scan times. However, these data can be described by a model with only a few parameters and in that sense they arehighly compressible. Thus, Compressed Sensing (CS) could be applied toaccelerate the data acquisition. In this work we introduce a model-basedreconstruction from undersampled data, which performs simultaneous imagereconstruction and parameter mapping and demonstrate it for the example of T1mapping. ",

author = "M. Doneva and C. Stehning and P. B{\"o}rnert and H. Eggers and A. Mertins",

year = "2009",

month = apr,

day = "1",

language = "English",

pages = "2295--2295",

note = "17th Meeting of the International Society for Magnetic Resonance in Medicine, ISMRM 2009 ; Conference date: 18-04-2009 Through 24-04-2009",

url = "https://www.ismrm.org/09/",

}

TY - CONF

T1 - Fast relaxation parameter mapping from undersampled data

AU - Doneva, M.

AU - Stehning, C.

AU - Börnert, P.

AU - Eggers, H.

AU - Mertins, A.

PY - 2009/4/1

Y1 - 2009/4/1

N2 - Introduction:The quantitative assessment of MR parameters like T1, T2, ADC, etc. requires the acquisition of multiple images of the sameanatomy, which results in long scan times. However, these data can be described by a model with only a few parameters and in that sense they arehighly compressible. Thus, Compressed Sensing (CS) could be applied toaccelerate the data acquisition. In this work we introduce a model-basedreconstruction from undersampled data, which performs simultaneous imagereconstruction and parameter mapping and demonstrate it for the example of T1mapping.

AB - Introduction:The quantitative assessment of MR parameters like T1, T2, ADC, etc. requires the acquisition of multiple images of the sameanatomy, which results in long scan times. However, these data can be described by a model with only a few parameters and in that sense they arehighly compressible. Thus, Compressed Sensing (CS) could be applied toaccelerate the data acquisition. In this work we introduce a model-basedreconstruction from undersampled data, which performs simultaneous imagereconstruction and parameter mapping and demonstrate it for the example of T1mapping.

M3 - Conference Papers

SP - 2295

EP - 2295

T2 - 17th Meeting of the International Society for Magnetic Resonance in Medicine

Y2 - 18 April 2009 through 24 April 2009

ER -

Fast relaxation parameter mapping from undersampled data

Abstract

Conference

UN SDGs

Access to Document

Fingerprint

Cite this