{"title":"磁化传递可以解释磁共振成像文献中大部分的 $T_1$ 变异。","authors":"Jakob Assländer, Sebastian Flassbeck","doi":"","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>To identify the predominant source of the <i>T</i> <sub>1</sub> variability described in the literature, which ranges from 0.6-1.1 s for brain white matter at 3 T.</p><p><strong>Methods: </strong>25 <i>T</i> <sub>1</sub>-mapping methods from the literature were simulated with a mono-exponential and various magnetization-transfer (MT) models, each followed by mono-exponential fitting. A single set of model parameters was assumed for the simulation of all methods, and these parameters were estimated by fitting the simulation-based to the corresponding literature <i>T</i> <sub>1</sub> values of white matter at 3 T. We acquired in vivo data with a quantitative magnetization transfer and three <i>T</i> <sub>1</sub>-mapping techniques. The former was used to synthesize MR images that correspond to the three <i>T</i> <sub>1</sub>-mapping methods. A mono-exponential model was fitted to the experimental and corresponding synthesized MR images.</p><p><strong>Results: </strong>Mono-exponential simulations suggest good inter-method reproducibility and fail to explain the highly variable <i>T</i> <sub>1</sub> estimates in the literature. In contrast, MT simulations suggest that a mono-exponential fit results in a variable <i>T</i> <sub>1</sub> and explain up to 62% of the literature's variability. In our own in vivo experiments, MT explains 70% of the observed variability.</p><p><strong>Conclusion: </strong>The results suggest that a mono-exponential model does not adequately describe longitudinal relaxation in biological tissue. Therefore, <i>T</i> <sub>1</sub> in biological tissue should be considered only a <i>semi</i>-<i>quantitative</i> metric that is inherently contingent upon the imaging methodology; and comparisons between different <i>T</i> <sub>1</sub>-mapping methods and the use of simplistic spin systems-such as doped-water phantoms-for validation should be viewed with caution.</p>","PeriodicalId":93888,"journal":{"name":"ArXiv","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11419191/pdf/","citationCount":"0","resultStr":"{\"title\":\"Magnetization transfer explains most of the <i>T</i> <sub>1</sub> variability in the MRI literature.\",\"authors\":\"Jakob Assländer, Sebastian Flassbeck\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>To identify the predominant source of the <i>T</i> <sub>1</sub> variability described in the literature, which ranges from 0.6-1.1 s for brain white matter at 3 T.</p><p><strong>Methods: </strong>25 <i>T</i> <sub>1</sub>-mapping methods from the literature were simulated with a mono-exponential and various magnetization-transfer (MT) models, each followed by mono-exponential fitting. A single set of model parameters was assumed for the simulation of all methods, and these parameters were estimated by fitting the simulation-based to the corresponding literature <i>T</i> <sub>1</sub> values of white matter at 3 T. We acquired in vivo data with a quantitative magnetization transfer and three <i>T</i> <sub>1</sub>-mapping techniques. The former was used to synthesize MR images that correspond to the three <i>T</i> <sub>1</sub>-mapping methods. A mono-exponential model was fitted to the experimental and corresponding synthesized MR images.</p><p><strong>Results: </strong>Mono-exponential simulations suggest good inter-method reproducibility and fail to explain the highly variable <i>T</i> <sub>1</sub> estimates in the literature. In contrast, MT simulations suggest that a mono-exponential fit results in a variable <i>T</i> <sub>1</sub> and explain up to 62% of the literature's variability. In our own in vivo experiments, MT explains 70% of the observed variability.</p><p><strong>Conclusion: </strong>The results suggest that a mono-exponential model does not adequately describe longitudinal relaxation in biological tissue. Therefore, <i>T</i> <sub>1</sub> in biological tissue should be considered only a <i>semi</i>-<i>quantitative</i> metric that is inherently contingent upon the imaging methodology; and comparisons between different <i>T</i> <sub>1</sub>-mapping methods and the use of simplistic spin systems-such as doped-water phantoms-for validation should be viewed with caution.</p>\",\"PeriodicalId\":93888,\"journal\":{\"name\":\"ArXiv\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-01-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11419191/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ArXiv\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ArXiv","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Magnetization transfer explains most of the T1 variability in the MRI literature.
Purpose: To identify the predominant source of the T1 variability described in the literature, which ranges from 0.6-1.1 s for brain white matter at 3 T.
Methods: 25 T1-mapping methods from the literature were simulated with a mono-exponential and various magnetization-transfer (MT) models, each followed by mono-exponential fitting. A single set of model parameters was assumed for the simulation of all methods, and these parameters were estimated by fitting the simulation-based to the corresponding literature T1 values of white matter at 3 T. We acquired in vivo data with a quantitative magnetization transfer and three T1-mapping techniques. The former was used to synthesize MR images that correspond to the three T1-mapping methods. A mono-exponential model was fitted to the experimental and corresponding synthesized MR images.
Results: Mono-exponential simulations suggest good inter-method reproducibility and fail to explain the highly variable T1 estimates in the literature. In contrast, MT simulations suggest that a mono-exponential fit results in a variable T1 and explain up to 62% of the literature's variability. In our own in vivo experiments, MT explains 70% of the observed variability.
Conclusion: The results suggest that a mono-exponential model does not adequately describe longitudinal relaxation in biological tissue. Therefore, T1 in biological tissue should be considered only a semi-quantitative metric that is inherently contingent upon the imaging methodology; and comparisons between different T1-mapping methods and the use of simplistic spin systems-such as doped-water phantoms-for validation should be viewed with caution.