A constrained decomposition method for myocardial perfusion quantification using hyperpolarized MRI

Yupeng Zhao; Rie Beck Olin; Esben Søvsø Szocska Hansen; Christoffer  Laustsen; Jan Henrik Ardenkjær-Larsen; Lars G.  Hanson

A constrained decomposition method for myocardial perfusion quantification using hyperpolarized MRI

Yupeng Zhao, Rie Beck Olin, Esben Søvsø Szocska Hansen, Christoffer Laustsen, Jan Henrik Ardenkjær-Larsen, Lars G. Hanson

Aarhus University

Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

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Abstract

As an alternative to Gadolinium, metabolically inert hyperpolarized contrast agents have been used in perfusion studies. For myocardial perfusion measurements, it is challenging to reliably obtain perfusionrelated signals due to partial volume effects. We propose a constrained decomposition approach, enforcing prior knowledge of the residue function being temporally decreasing. The method is capable of separating the arterial and perfusion components and the quantified perfusion map is not visibly affected by partial volume effects.

Original language	English
Publication date	2023
Publication status	Published - 2023
Event	2023 ISMRM & ISMRT Annual Meeting & Exhibition - Metro Toronto Convention Centre (MTCC), Toronto, Canada Duration: 3 Jun 2023 → 8 Jun 2023 Conference number: 32

Conference

Conference	2023 ISMRM & ISMRT Annual Meeting & Exhibition
Number	32
Location	Metro Toronto Convention Centre (MTCC)
Country/Territory	Canada
City	Toronto
Period	03/06/2023 → 08/06/2023

Bibliographical note

Abstract no. 0174

Keywords

Myocardium
Perfusion

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title = "A constrained decomposition method for myocardial perfusion quantification using hyperpolarized MRI",

abstract = "As an alternative to Gadolinium, metabolically inert hyperpolarized contrast agents have been used in perfusion studies. For myocardial perfusion measurements, it is challenging to reliably obtain perfusionrelated signals due to partial volume effects. We propose a constrained decomposition approach, enforcing prior knowledge of the residue function being temporally decreasing. The method is capable of separating the arterial and perfusion components and the quantified perfusion map is not visibly affected by partial volume effects.",

keywords = "Myocardium, Perfusion",

author = "Yupeng Zhao and Olin, {Rie Beck} and {S{\o}vs{\o} Szocska Hansen}, Esben and Christoffer Laustsen and Ardenkj{\ae}r-Larsen, {Jan Henrik} and Hanson, {Lars G.}",

note = "Abstract no. 0174; 2023 ISMRM & ISMRT Annual Meeting & Exhibition ; Conference date: 03-06-2023 Through 08-06-2023",

year = "2023",

language = "English",

}

A constrained decomposition method for myocardial perfusion quantification using hyperpolarized MRI. / Zhao, Yupeng; Olin, Rie Beck; Søvsø Szocska Hansen, Esben et al.
2023. Abstract from 2023 ISMRM & ISMRT Annual Meeting & Exhibition, Toronto, Ontario, Canada.

Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

TY - ABST

T1 - A constrained decomposition method for myocardial perfusion quantification using hyperpolarized MRI

AU - Zhao, Yupeng

AU - Olin, Rie Beck

AU - Søvsø Szocska Hansen, Esben

AU - Laustsen, Christoffer

AU - Ardenkjær-Larsen, Jan Henrik

AU - Hanson, Lars G.

N1 - Conference code: 32

PY - 2023

Y1 - 2023

N2 - As an alternative to Gadolinium, metabolically inert hyperpolarized contrast agents have been used in perfusion studies. For myocardial perfusion measurements, it is challenging to reliably obtain perfusionrelated signals due to partial volume effects. We propose a constrained decomposition approach, enforcing prior knowledge of the residue function being temporally decreasing. The method is capable of separating the arterial and perfusion components and the quantified perfusion map is not visibly affected by partial volume effects.

AB - As an alternative to Gadolinium, metabolically inert hyperpolarized contrast agents have been used in perfusion studies. For myocardial perfusion measurements, it is challenging to reliably obtain perfusionrelated signals due to partial volume effects. We propose a constrained decomposition approach, enforcing prior knowledge of the residue function being temporally decreasing. The method is capable of separating the arterial and perfusion components and the quantified perfusion map is not visibly affected by partial volume effects.

KW - Myocardium

KW - Perfusion

M3 - Conference abstract for conference

T2 - 2023 ISMRM & ISMRT Annual Meeting & Exhibition

Y2 - 3 June 2023 through 8 June 2023

ER -

A constrained decomposition method for myocardial perfusion quantification using hyperpolarized MRI

Abstract

Conference

Bibliographical note

Keywords

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