Regularization of Digitally Integrated, Inductive k-Space Trajectory Measures

Jan Ole Pedersen; Christian G. Hanson; Rong Xue; Lars G.  Hanson

Regularization of Digitally Integrated, Inductive k-Space Trajectory Measures

Jan Ole Pedersen
, Christian G. Hanson
, Rong Xue
, Lars G. Hanson

Magnetic Resonance

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

Abstract

Determining k-space trajectories inductively is conceptually simple, but rely on integration of the induced signal. Performing this integration digitally allow for higher degree of flexibility than analog integration, which is necessary to account for, e.g., refocusing RF pulses. Digital integration, however, require high bandwidth sampling of the induced signal as digitization error accumulate, making the overall approach less attractive. We show that the necessary bandwidth can be reduced by performing regularization using a gradient coil current measure.

Original language	English
Publication date	2019
Number of pages	3
Publication status	Published - 2019
Event	ISMRM 27th Annual Meeting & Exhibition - Palais des congrès de Montréal, Montréal, Canada Duration: 11 May 2019 → 16 May 2019 Conference number: 27 http://www.ismrm.org/19m/

Conference

Conference	ISMRM 27th Annual Meeting & Exhibition
Number	27
Location	Palais des congrès de Montréal
Country/Territory	Canada
City	Montréal
Period	11/05/2019 → 16/05/2019
Internet address	http://www.ismrm.org/19m/

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title = "Regularization of Digitally Integrated, Inductive k-Space Trajectory Measures",

abstract = "Determining k-space trajectories inductively is conceptually simple, but rely on integration of the induced signal. Performing this integration digitally allow for higher degree of flexibility than analog integration, which is necessary to account for, e.g., refocusing RF pulses. Digital integration, however, require high bandwidth sampling of the induced signal as digitization error accumulate, making the overall approach less attractive. We show that the necessary bandwidth can be reduced by performing regularization using a gradient coil current measure. ",

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T1 - Regularization of Digitally Integrated, Inductive k-Space Trajectory Measures

AU - Pedersen, Jan Ole

AU - Hanson, Christian G.

AU - Xue, Rong

AU - Hanson, Lars G.

N1 - Conference code: 27

PY - 2019

Y1 - 2019

N2 - Determining k-space trajectories inductively is conceptually simple, but rely on integration of the induced signal. Performing this integration digitally allow for higher degree of flexibility than analog integration, which is necessary to account for, e.g., refocusing RF pulses. Digital integration, however, require high bandwidth sampling of the induced signal as digitization error accumulate, making the overall approach less attractive. We show that the necessary bandwidth can be reduced by performing regularization using a gradient coil current measure.

AB - Determining k-space trajectories inductively is conceptually simple, but rely on integration of the induced signal. Performing this integration digitally allow for higher degree of flexibility than analog integration, which is necessary to account for, e.g., refocusing RF pulses. Digital integration, however, require high bandwidth sampling of the induced signal as digitization error accumulate, making the overall approach less attractive. We show that the necessary bandwidth can be reduced by performing regularization using a gradient coil current measure.

M3 - Conference abstract for conference

T2 - ISMRM 27th Annual Meeting & Exhibition

Y2 - 11 May 2019 through 16 May 2019

ER -

Regularization of Digitally Integrated, Inductive k-Space Trajectory Measures

Abstract

Conference

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