In-vivo high-resolution χ-separation at 7T
A recently introduced quantitative susceptibility mapping (QSM) technique, χ-separation, offers the capability to separate paramagnetic (χpara) and diamagnetic (χdia) susceptibility distribution within the brain. In-vivo high-resolution mapping of iron and myelin distribution, estimated by χ-separat...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-03-01
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| Series: | NeuroImage |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S105381192500062X |
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| author | Jiye Kim Minjun Kim Sooyeon Ji Kyeongseon Min Hwihun Jeong Hyeong-Geol Shin Chungseok Oh Robert J. Fox Ken E. Sakaie Mark J. Lowe Se-Hong Oh Sina Straub Seong-Gi Kim Jongho Lee |
| author_facet | Jiye Kim Minjun Kim Sooyeon Ji Kyeongseon Min Hwihun Jeong Hyeong-Geol Shin Chungseok Oh Robert J. Fox Ken E. Sakaie Mark J. Lowe Se-Hong Oh Sina Straub Seong-Gi Kim Jongho Lee |
| author_sort | Jiye Kim |
| collection | DOAJ |
| description | A recently introduced quantitative susceptibility mapping (QSM) technique, χ-separation, offers the capability to separate paramagnetic (χpara) and diamagnetic (χdia) susceptibility distribution within the brain. In-vivo high-resolution mapping of iron and myelin distribution, estimated by χ-separation, could provide a deeper understanding of brain substructures, assisting the investigation of their functions and alterations. This can be achieved using 7T MRI, which benefits from a high signal-to-noise ratio and susceptibility effects. However, applying χ-separation at 7T presents difficulties due to the requirement of an R2 map, coupled with issues such as high specific absorption rate (SAR), large B1 transmit field inhomogeneities, and prolonged scan time. To address these challenges, we developed a novel deep neural network, R2PRIMEnet7T, designed to convert a 7T R2* map into a 3T R2′ map. Building on this development, we present a new pipeline for χ-separation at 7T, enabling us to generate high-resolution χ-separation maps from multi-echo gradient-echo data. The proposed method is compared with alternative pipelines, such as an end-to-end network and linearly-scaled R2′, and is validated against χ-separation maps at 3T, demonstrating its accuracy. The 7T χ-separation maps generated by the proposed method exhibit similar contrasts to those from 3T, while 7T high-resolution maps offer enhanced clarity and detail. Quantitative analysis confirms that the proposed method surpasses the alternative pipelines. The proposed method results well delineate the detailed brain structures associated with iron and myelin. This new pipeline holds promise for analyzing iron and myelin concentration changes in various neurodegenerative diseases through precise structural examination. |
| format | Article |
| id | doaj-art-24294fba0b714a939526abb805a8c3d5 |
| institution | Kabale University |
| issn | 1095-9572 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage |
| spelling | doaj-art-24294fba0b714a939526abb805a8c3d52025-02-07T04:46:54ZengElsevierNeuroImage1095-95722025-03-01308121060In-vivo high-resolution χ-separation at 7TJiye Kim0Minjun Kim1Sooyeon Ji2Kyeongseon Min3Hwihun Jeong4Hyeong-Geol Shin5Chungseok Oh6Robert J. Fox7Ken E. Sakaie8Mark J. Lowe9Se-Hong Oh10Sina Straub11Seong-Gi Kim12Jongho Lee13Laboratory for Imaging Science and Technology, Department of Electrical and Computer Engineering, Seoul National University, Seoul, South KoreaLaboratory for Imaging Science and Technology, Department of Electrical and Computer Engineering, Seoul National University, Seoul, South KoreaLaboratory for Imaging Science and Technology, Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea; Division of Computer Engineering, Hankuk University of Foreign Studies, Yongin, South KoreaLaboratory for Imaging Science and Technology, Department of Electrical and Computer Engineering, Seoul National University, Seoul, South KoreaLaboratory for Imaging Science and Technology, Department of Electrical and Computer Engineering, Seoul National University, Seoul, South KoreaLaboratory for Imaging Science and Technology, Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea; Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USALaboratory for Imaging Science and Technology, Department of Electrical and Computer Engineering, Seoul National University, Seoul, South KoreaMellen Center for Treatment and Research in MS, Cleveland Clinic, Cleveland, OH, USAImaging Sciences, Diagnostics Institute, Cleveland Clinic, Cleveland, OH, USAImaging Sciences, Diagnostics Institute, Cleveland Clinic, Cleveland, OH, USAImaging Sciences, Diagnostics Institute, Cleveland Clinic, Cleveland, OH, USA; Department of Biomedical Engineering, Hankuk University of Foreign Studies, Yongin, South KoreaDepartment of Radiology, Mayo Clinic, Jacksonville, FL, USACenter for Neuroscience Imaging Research, Institute for Basic Science, Suwon, South Korea; Department of Biomedical Engineering, Sungkyunkwan University, Suwon, South KoreaLaboratory for Imaging Science and Technology, Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea; Corresponding author at: Department of Electrical and Computer Engineering, Seoul National University, Building 301, Room 1008, 1 Gwanak-ro, Gwanak-gu, Seoul, South Korea.A recently introduced quantitative susceptibility mapping (QSM) technique, χ-separation, offers the capability to separate paramagnetic (χpara) and diamagnetic (χdia) susceptibility distribution within the brain. In-vivo high-resolution mapping of iron and myelin distribution, estimated by χ-separation, could provide a deeper understanding of brain substructures, assisting the investigation of their functions and alterations. This can be achieved using 7T MRI, which benefits from a high signal-to-noise ratio and susceptibility effects. However, applying χ-separation at 7T presents difficulties due to the requirement of an R2 map, coupled with issues such as high specific absorption rate (SAR), large B1 transmit field inhomogeneities, and prolonged scan time. To address these challenges, we developed a novel deep neural network, R2PRIMEnet7T, designed to convert a 7T R2* map into a 3T R2′ map. Building on this development, we present a new pipeline for χ-separation at 7T, enabling us to generate high-resolution χ-separation maps from multi-echo gradient-echo data. The proposed method is compared with alternative pipelines, such as an end-to-end network and linearly-scaled R2′, and is validated against χ-separation maps at 3T, demonstrating its accuracy. The 7T χ-separation maps generated by the proposed method exhibit similar contrasts to those from 3T, while 7T high-resolution maps offer enhanced clarity and detail. Quantitative analysis confirms that the proposed method surpasses the alternative pipelines. The proposed method results well delineate the detailed brain structures associated with iron and myelin. This new pipeline holds promise for analyzing iron and myelin concentration changes in various neurodegenerative diseases through precise structural examination.http://www.sciencedirect.com/science/article/pii/S105381192500062XChi-separationIron and myelin imagingx-separationQuantitative susceptibility mappingMagnetic susceptibility source separationUltrahigh field MRI |
| spellingShingle | Jiye Kim Minjun Kim Sooyeon Ji Kyeongseon Min Hwihun Jeong Hyeong-Geol Shin Chungseok Oh Robert J. Fox Ken E. Sakaie Mark J. Lowe Se-Hong Oh Sina Straub Seong-Gi Kim Jongho Lee In-vivo high-resolution χ-separation at 7T NeuroImage Chi-separation Iron and myelin imaging x-separation Quantitative susceptibility mapping Magnetic susceptibility source separation Ultrahigh field MRI |
| title | In-vivo high-resolution χ-separation at 7T |
| title_full | In-vivo high-resolution χ-separation at 7T |
| title_fullStr | In-vivo high-resolution χ-separation at 7T |
| title_full_unstemmed | In-vivo high-resolution χ-separation at 7T |
| title_short | In-vivo high-resolution χ-separation at 7T |
| title_sort | in vivo high resolution χ separation at 7t |
| topic | Chi-separation Iron and myelin imaging x-separation Quantitative susceptibility mapping Magnetic susceptibility source separation Ultrahigh field MRI |
| url | http://www.sciencedirect.com/science/article/pii/S105381192500062X |
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