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Early differentiation of neurodegenerative diseases using the novel QSM technique: what is the biomarker of each disorder?
During neurodegenerative diseases, the brain undergoes morphological and pathological changes; Iron deposits are one of the causes of pathological changes in the brain. The Quantitative susceptibility mapping (QSM) technique, a type of magnetic resonance (MR) image reconstruction, is one of the newe...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9336059/ https://www.ncbi.nlm.nih.gov/pubmed/35902793 http://dx.doi.org/10.1186/s12868-022-00725-9 |
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author | Nikparast, Farzaneh Ganji, Zohreh Zare, Hoda |
author_facet | Nikparast, Farzaneh Ganji, Zohreh Zare, Hoda |
author_sort | Nikparast, Farzaneh |
collection | PubMed |
description | During neurodegenerative diseases, the brain undergoes morphological and pathological changes; Iron deposits are one of the causes of pathological changes in the brain. The Quantitative susceptibility mapping (QSM) technique, a type of magnetic resonance (MR) image reconstruction, is one of the newest diagnostic methods for iron deposits to detect changes in magnetic susceptibility. Numerous research projects have been conducted in this field. The purpose of writing this review article is to identify the first deep brain nuclei that undergo magnetic susceptibility changes during neurodegenerative diseases such as Alzheimer's or Parkinson's disease. The purpose of this article is to identify the brain nuclei that are prone to iron deposition in any specific disorder. In addition to the mentioned purpose, this paper proposes the optimal scan parameters and appropriate algorithms of each QSM reconstruction step by reviewing the results of different articles. As a result, The QSM technique can identify nuclei exposed to iron deposition in various neurodegenerative diseases. Also, the selection of scan parameters is different based on the sequence and purpose; an example of the parameters is placed in the tables. The BET toolbox in FSL, Laplacian-based phase-unwrapping process, the V_SHARP algorithm, and morphology-enabled dipole inversion (MEDI) method are the most widely used algorithms in various stages of QSM reconstruction. |
format | Online Article Text |
id | pubmed-9336059 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-93360592022-07-30 Early differentiation of neurodegenerative diseases using the novel QSM technique: what is the biomarker of each disorder? Nikparast, Farzaneh Ganji, Zohreh Zare, Hoda BMC Neurosci Research During neurodegenerative diseases, the brain undergoes morphological and pathological changes; Iron deposits are one of the causes of pathological changes in the brain. The Quantitative susceptibility mapping (QSM) technique, a type of magnetic resonance (MR) image reconstruction, is one of the newest diagnostic methods for iron deposits to detect changes in magnetic susceptibility. Numerous research projects have been conducted in this field. The purpose of writing this review article is to identify the first deep brain nuclei that undergo magnetic susceptibility changes during neurodegenerative diseases such as Alzheimer's or Parkinson's disease. The purpose of this article is to identify the brain nuclei that are prone to iron deposition in any specific disorder. In addition to the mentioned purpose, this paper proposes the optimal scan parameters and appropriate algorithms of each QSM reconstruction step by reviewing the results of different articles. As a result, The QSM technique can identify nuclei exposed to iron deposition in various neurodegenerative diseases. Also, the selection of scan parameters is different based on the sequence and purpose; an example of the parameters is placed in the tables. The BET toolbox in FSL, Laplacian-based phase-unwrapping process, the V_SHARP algorithm, and morphology-enabled dipole inversion (MEDI) method are the most widely used algorithms in various stages of QSM reconstruction. BioMed Central 2022-07-28 /pmc/articles/PMC9336059/ /pubmed/35902793 http://dx.doi.org/10.1186/s12868-022-00725-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Nikparast, Farzaneh Ganji, Zohreh Zare, Hoda Early differentiation of neurodegenerative diseases using the novel QSM technique: what is the biomarker of each disorder? |
title | Early differentiation of neurodegenerative diseases using the novel QSM technique: what is the biomarker of each disorder? |
title_full | Early differentiation of neurodegenerative diseases using the novel QSM technique: what is the biomarker of each disorder? |
title_fullStr | Early differentiation of neurodegenerative diseases using the novel QSM technique: what is the biomarker of each disorder? |
title_full_unstemmed | Early differentiation of neurodegenerative diseases using the novel QSM technique: what is the biomarker of each disorder? |
title_short | Early differentiation of neurodegenerative diseases using the novel QSM technique: what is the biomarker of each disorder? |
title_sort | early differentiation of neurodegenerative diseases using the novel qsm technique: what is the biomarker of each disorder? |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9336059/ https://www.ncbi.nlm.nih.gov/pubmed/35902793 http://dx.doi.org/10.1186/s12868-022-00725-9 |
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