Retrospective Artifact Elimination in MEGA-PRESS using a Correlation Approach
Tapper, Sofie ; Tisell, Anders ; Helms, Gunther LU
and Lundberg, Peter
(2019)
In Magnetic Resonance in Medicine
81(4).
p.2223-2237
- Abstract
- Purpose
To develop a method for retrospective artifact elimination of MRS data. This retrospective method was based on an approach that combines jackknife analyses with the correlation of spectral windows, and therefore termed “JKC.”
Methods
Twelve healthy volunteers performed 3 separate measurement protocols using a 3T MR system. One protocol consisted of 2 cerebellar MEGA‐PRESS measurements: 1 reference and 1 measurement including head movements. One‐third of the artifact‐influenced datasets were treated as training data for the implementation the JKC method, and the rest were used for validation.
Results
The implemented JKC method correctly characterized most of the validation data. Additionally, after... (More) - Purpose
To develop a method for retrospective artifact elimination of MRS data. This retrospective method was based on an approach that combines jackknife analyses with the correlation of spectral windows, and therefore termed “JKC.”
Methods
Twelve healthy volunteers performed 3 separate measurement protocols using a 3T MR system. One protocol consisted of 2 cerebellar MEGA‐PRESS measurements: 1 reference and 1 measurement including head movements. One‐third of the artifact‐influenced datasets were treated as training data for the implementation the JKC method, and the rest were used for validation.
Results
The implemented JKC method correctly characterized most of the validation data. Additionally, after elimination of the detected artifacts, the resulting concentrations were much closer to those computed for the reference datasets. Moreover, when the JKC method was applied to the reference data, the estimated concentrations were not affected, compared with standard averaging.
Conclusion
The implemented JKC method can be applied without any extra cost to MRS data, regardless of whether the dataset has been contaminated by artifacts. Furthermore, the results indicate that the JKC method could be used as a quality control of a dataset, or as an indication of whether a shift in voxel placement has occurred during the measurement.
(Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/3f8744f5-0c4d-4bd5-9142-db4c6ed699ed
- author
- Tapper, Sofie
; Tisell, Anders
; Helms, Gunther
LU
and Lundberg, Peter
- organization
- publishing date
- 2019
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Magnetic Resonance in Medicine
- volume
- 81
- issue
- 4
- pages
- 15 pages
- publisher
- John Wiley & Sons Inc.
- external identifiers
-
- scopus:85056358584
- pmid:30417930
- ISSN
- 1522-2594
- DOI
- 10.1002/mrm.27590
- language
- English
- LU publication?
- yes
- id
- 3f8744f5-0c4d-4bd5-9142-db4c6ed699ed
- date added to LUP
- 2018-11-12 19:25:25
- date last changed
- 2022-04-25 18:36:17
@article{3f8744f5-0c4d-4bd5-9142-db4c6ed699ed,
abstract = {{Purpose<br/>To develop a method for retrospective artifact elimination of MRS data. This retrospective method was based on an approach that combines jackknife analyses with the correlation of spectral windows, and therefore termed “JKC.”<br/><br/>Methods<br/>Twelve healthy volunteers performed 3 separate measurement protocols using a 3T MR system. One protocol consisted of 2 cerebellar MEGA‐PRESS measurements: 1 reference and 1 measurement including head movements. One‐third of the artifact‐influenced datasets were treated as training data for the implementation the JKC method, and the rest were used for validation.<br/><br/>Results<br/>The implemented JKC method correctly characterized most of the validation data. Additionally, after elimination of the detected artifacts, the resulting concentrations were much closer to those computed for the reference datasets. Moreover, when the JKC method was applied to the reference data, the estimated concentrations were not affected, compared with standard averaging.<br/><br/>Conclusion<br/>The implemented JKC method can be applied without any extra cost to MRS data, regardless of whether the dataset has been contaminated by artifacts. Furthermore, the results indicate that the JKC method could be used as a quality control of a dataset, or as an indication of whether a shift in voxel placement has occurred during the measurement.<br/>}},
author = {{Tapper, Sofie and Tisell, Anders and Helms, Gunther and Lundberg, Peter}},
issn = {{1522-2594}},
language = {{eng}},
number = {{4}},
pages = {{2223--2237}},
publisher = {{John Wiley & Sons Inc.}},
series = {{Magnetic Resonance in Medicine}},
title = {{Retrospective Artifact Elimination in MEGA-PRESS using a Correlation Approach}},
url = {{http://dx.doi.org/10.1002/mrm.27590}},
doi = {{10.1002/mrm.27590}},
volume = {{81}},
year = {{2019}},
}