Autocorrection in MR imaging: Adaptive motion correction without navigator echoes

Armando Manduca; Kiaran P. McGee; E. Brian Welch; Joel P. Felmlee; Roger C. Grímm; Richard L. Ehman

doi:10.1148/radiology.215.3.r00jn19904

Autocorrection in MR imaging: Adaptive motion correction without navigator echoes

Armando Manduca, Kiaran P. McGee, E. Brian Welch, Joel P. Felmlee, Roger C. Grímm, Richard L. Ehman

Research output: Contribution to journal › Article › peer-review

52 Scopus citations

Abstract

A technique for automatic retrospective correction of motion artifacts on magnetic resonance (MR) images was developed that uses only the raw (complex) data from the MR imager and requires no knowledge of patient motion during the acquisition. The algorithm was tested on coronal images of the rotator cuff in a series of 144 patients, and the improvements in image quality were similar to those achieved with navigator echoes. The results demonstrate that autocorrection can significantly reduce motion artifacts in a technically demanding MR imaging application.

Original language	English (US)
Pages (from-to)	904-909
Number of pages	6
Journal	Radiology
Volume	215
Issue number	3
DOIs	https://doi.org/10.1148/radiology.215.3.r00jn19904
State	Published - Jun 2000

Keywords

Magnetic resonance (MR), motion correction
Magnetic resonance (MR), reconstruction algorithms
Shoulder, MR

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging

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10.1148/radiology.215.3.r00jn19904

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abstract = "A technique for automatic retrospective correction of motion artifacts on magnetic resonance (MR) images was developed that uses only the raw (complex) data from the MR imager and requires no knowledge of patient motion during the acquisition. The algorithm was tested on coronal images of the rotator cuff in a series of 144 patients, and the improvements in image quality were similar to those achieved with navigator echoes. The results demonstrate that autocorrection can significantly reduce motion artifacts in a technically demanding MR imaging application.",

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AU - Welch, E. Brian

AU - Felmlee, Joel P.

AU - Grímm, Roger C.

AU - Ehman, Richard L.

PY - 2000/6

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N2 - A technique for automatic retrospective correction of motion artifacts on magnetic resonance (MR) images was developed that uses only the raw (complex) data from the MR imager and requires no knowledge of patient motion during the acquisition. The algorithm was tested on coronal images of the rotator cuff in a series of 144 patients, and the improvements in image quality were similar to those achieved with navigator echoes. The results demonstrate that autocorrection can significantly reduce motion artifacts in a technically demanding MR imaging application.

AB - A technique for automatic retrospective correction of motion artifacts on magnetic resonance (MR) images was developed that uses only the raw (complex) data from the MR imager and requires no knowledge of patient motion during the acquisition. The algorithm was tested on coronal images of the rotator cuff in a series of 144 patients, and the improvements in image quality were similar to those achieved with navigator echoes. The results demonstrate that autocorrection can significantly reduce motion artifacts in a technically demanding MR imaging application.

KW - Magnetic resonance (MR), motion correction

KW - Magnetic resonance (MR), reconstruction algorithms

KW - Shoulder, MR

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Autocorrection in MR imaging: Adaptive motion correction without navigator echoes

Abstract

Keywords

ASJC Scopus subject areas

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