Non-Cartesian Parallel Imaging Reconstruction of Undersampled IDEAL Spiral 13C CSI Data

Rie Beck Hansen; Lars G.  Hanson; Jan Henrik Ardenkjær-Larsen

Abstract

The short-lived nature of hyperpolarization places high demands on signal acquisition. To acquire large FOVs with high spatial resolution, and to fully capture substrate uptake and metabolic conversion, fast data acquisition is crucial. Parallel imaging uses multi-channel coils to achieve reduced scan times based on spatial information inherent to each coil element. In this work, we explored the combination of non-cartesian parallel imaging reconstruction and spatially undersampled IDEAL spiral CSI1 acquisition for efficient encoding of multiple chemical shifts within a large FOV with high spatial resolution.

Original language	English
Publication date	2017
Number of pages	1
Publication status	Published - 2017
Event	58th Experimental Nuclear Magnetic Resonance Conference - Asilomar Conference Grounds, Pacific Grove. , United States Duration: 26 Mar 2017 → 31 Mar 2017

Conference

Conference	58th Experimental Nuclear Magnetic Resonance Conference
Location	Asilomar Conference Grounds
Country/Territory	United States
City	Pacific Grove.
Period	26/03/2017 → 31/03/2017

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title = "Non-Cartesian Parallel Imaging Reconstruction of Undersampled IDEAL Spiral 13C CSI Data",

abstract = "The short-lived nature of hyperpolarization places high demands on signal acquisition. To acquire large FOVs with high spatial resolution, and to fully capture substrate uptake and metabolic conversion, fast data acquisition is crucial. Parallel imaging uses multi-channel coils to achieve reduced scan times based on spatial information inherent to each coil element. In this work, we explored the combination of non-cartesian parallel imaging reconstruction and spatially undersampled IDEAL spiral CSI1 acquisition for efficient encoding of multiple chemical shifts within a large FOV with high spatial resolution.",

author = "Hansen, \{Rie Beck\} and Hanson, \{Lars G.\} and Ardenkj{\ae}r-Larsen, \{Jan Henrik\}",

year = "2017",

language = "English",

note = "58th Experimental Nuclear Magnetic Resonance Conference, ENC 2017 ; Conference date: 26-03-2017 Through 31-03-2017",

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Non-Cartesian Parallel Imaging Reconstruction of Undersampled IDEAL Spiral 13C CSI Data. / Hansen, Rie Beck; Hanson, Lars G. ; Ardenkjær-Larsen, Jan Henrik.
2017. Abstract from 58th Experimental Nuclear Magnetic Resonance Conference, Pacific Grove. , California, United States.

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

TY - ABST

T1 - Non-Cartesian Parallel Imaging Reconstruction of Undersampled IDEAL Spiral 13C CSI Data

AU - Hansen, Rie Beck

AU - Hanson, Lars G.

AU - Ardenkjær-Larsen, Jan Henrik

PY - 2017

Y1 - 2017

N2 - The short-lived nature of hyperpolarization places high demands on signal acquisition. To acquire large FOVs with high spatial resolution, and to fully capture substrate uptake and metabolic conversion, fast data acquisition is crucial. Parallel imaging uses multi-channel coils to achieve reduced scan times based on spatial information inherent to each coil element. In this work, we explored the combination of non-cartesian parallel imaging reconstruction and spatially undersampled IDEAL spiral CSI1 acquisition for efficient encoding of multiple chemical shifts within a large FOV with high spatial resolution.

AB - The short-lived nature of hyperpolarization places high demands on signal acquisition. To acquire large FOVs with high spatial resolution, and to fully capture substrate uptake and metabolic conversion, fast data acquisition is crucial. Parallel imaging uses multi-channel coils to achieve reduced scan times based on spatial information inherent to each coil element. In this work, we explored the combination of non-cartesian parallel imaging reconstruction and spatially undersampled IDEAL spiral CSI1 acquisition for efficient encoding of multiple chemical shifts within a large FOV with high spatial resolution.

M3 - Conference abstract for conference

T2 - 58th Experimental Nuclear Magnetic Resonance Conference

Y2 - 26 March 2017 through 31 March 2017

ER -