{"title":"超高速同时T1, T2, T2*, PD, ΔB0和B1映射通过纵向磁化控制MOLED采集。","authors":"Weikun Chen, Taishan Kang, Qing Lin, Xinyu Guo, Jian Wu, Simin Li, Yuchen Zheng, Jianzhong Lin, Liangjie Lin, Jiazheng Wang, Xiaobo Qu, Zhong Chen, Shuhui Cai, Congbo Cai","doi":"10.1109/TBME.2025.3590286","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Multi-parametric quantitative mag- netic resonance imaging (mqMRI) provides comprehensive and accurate information about tissue microstructure and holds significant clinical value for the diagnosis and treatment of diseases. However, conventional methods require long scan time, leading to registration errors and physiological variability between different sequence acqui- sitions. This study aims to propose an advanced imaging method that addresses these limitations.</p><p><strong>Methods: </strong>A novel approach called longitudinal magnetization controlled multiple overlapping-echo detachment (LMC-MOLED) imaging was proposed. LMC-MOLED leverages a deep neural network trained on synthetic data generated from Bloch simulation, incorporating non-ideal factors such as B0 and B1 inhomogeneities to efficiently reconstruct parametric maps.</p><p><strong>Results: </strong>LMC-MOLED enables simulta- neous quantification of T1, T2, T2*, proton density (PD), ΔB0, and B1 parameters in approximately 1.2 seconds per slice. Validation experiments using numerical brain, phantom, and human brains demonstrate its excellent performance, particularly in terms of acquisition speed, image quality, and robustness. Additionally, LMC-MOLED effectively corrects distortions introduced by long echo train acquisition.</p><p><strong>Conclusion and significance: </strong>LMC-MOLED offers a rapid, robust solution for mqMRI, providing multi-parametric mapping in a single scan with signify- cantly reduced acquisition time. It holds potential to improve diagnostic accuracy and alleviate patient burden.</p>","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.5000,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Ultrafast Simultaneous T<sub>1</sub>, T<sub>2</sub>, T<sub>2</sub>*, PD, ΔB<sub>0</sub>, and B<sub>1</sub> Mapping via Longitudinal Magnetization Controlled MOLED Acquisition.\",\"authors\":\"Weikun Chen, Taishan Kang, Qing Lin, Xinyu Guo, Jian Wu, Simin Li, Yuchen Zheng, Jianzhong Lin, Liangjie Lin, Jiazheng Wang, Xiaobo Qu, Zhong Chen, Shuhui Cai, Congbo Cai\",\"doi\":\"10.1109/TBME.2025.3590286\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>Multi-parametric quantitative mag- netic resonance imaging (mqMRI) provides comprehensive and accurate information about tissue microstructure and holds significant clinical value for the diagnosis and treatment of diseases. However, conventional methods require long scan time, leading to registration errors and physiological variability between different sequence acqui- sitions. This study aims to propose an advanced imaging method that addresses these limitations.</p><p><strong>Methods: </strong>A novel approach called longitudinal magnetization controlled multiple overlapping-echo detachment (LMC-MOLED) imaging was proposed. LMC-MOLED leverages a deep neural network trained on synthetic data generated from Bloch simulation, incorporating non-ideal factors such as B0 and B1 inhomogeneities to efficiently reconstruct parametric maps.</p><p><strong>Results: </strong>LMC-MOLED enables simulta- neous quantification of T1, T2, T2*, proton density (PD), ΔB0, and B1 parameters in approximately 1.2 seconds per slice. Validation experiments using numerical brain, phantom, and human brains demonstrate its excellent performance, particularly in terms of acquisition speed, image quality, and robustness. Additionally, LMC-MOLED effectively corrects distortions introduced by long echo train acquisition.</p><p><strong>Conclusion and significance: </strong>LMC-MOLED offers a rapid, robust solution for mqMRI, providing multi-parametric mapping in a single scan with signify- cantly reduced acquisition time. It holds potential to improve diagnostic accuracy and alleviate patient burden.</p>\",\"PeriodicalId\":13245,\"journal\":{\"name\":\"IEEE Transactions on Biomedical Engineering\",\"volume\":\"PP \",\"pages\":\"\"},\"PeriodicalIF\":4.5000,\"publicationDate\":\"2025-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Biomedical Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1109/TBME.2025.3590286\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, BIOMEDICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Biomedical Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1109/TBME.2025.3590286","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
Ultrafast Simultaneous T1, T2, T2*, PD, ΔB0, and B1 Mapping via Longitudinal Magnetization Controlled MOLED Acquisition.
Objective: Multi-parametric quantitative mag- netic resonance imaging (mqMRI) provides comprehensive and accurate information about tissue microstructure and holds significant clinical value for the diagnosis and treatment of diseases. However, conventional methods require long scan time, leading to registration errors and physiological variability between different sequence acqui- sitions. This study aims to propose an advanced imaging method that addresses these limitations.
Methods: A novel approach called longitudinal magnetization controlled multiple overlapping-echo detachment (LMC-MOLED) imaging was proposed. LMC-MOLED leverages a deep neural network trained on synthetic data generated from Bloch simulation, incorporating non-ideal factors such as B0 and B1 inhomogeneities to efficiently reconstruct parametric maps.
Results: LMC-MOLED enables simulta- neous quantification of T1, T2, T2*, proton density (PD), ΔB0, and B1 parameters in approximately 1.2 seconds per slice. Validation experiments using numerical brain, phantom, and human brains demonstrate its excellent performance, particularly in terms of acquisition speed, image quality, and robustness. Additionally, LMC-MOLED effectively corrects distortions introduced by long echo train acquisition.
Conclusion and significance: LMC-MOLED offers a rapid, robust solution for mqMRI, providing multi-parametric mapping in a single scan with signify- cantly reduced acquisition time. It holds potential to improve diagnostic accuracy and alleviate patient burden.
期刊介绍:
IEEE Transactions on Biomedical Engineering contains basic and applied papers dealing with biomedical engineering. Papers range from engineering development in methods and techniques with biomedical applications to experimental and clinical investigations with engineering contributions.