{"title":"磁化转移解释了MRI文献中大部分T1变异性。","authors":"Jakob Assländer, Sebastian Flassbeck","doi":"10.1002/mrm.30451","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Purpose</h3>\n \n <p>To identify the predominant source of the <span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mrow>\n <mi>T</mi>\n </mrow>\n <mrow>\n <mn>1</mn>\n </mrow>\n </msub>\n </mrow>\n <annotation>$$ {T}_1 $$</annotation>\n </semantics></math> variability described in the literature, which ranges from 0.6–1.1 s for brain white matter at 3 T.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>25 <span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mrow>\n <mi>T</mi>\n </mrow>\n <mrow>\n <mn>1</mn>\n </mrow>\n </msub>\n </mrow>\n <annotation>$$ {T}_1 $$</annotation>\n </semantics></math>-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 <span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mrow>\n <mi>T</mi>\n </mrow>\n <mrow>\n <mn>1</mn>\n </mrow>\n </msub>\n </mrow>\n <annotation>$$ {T}_1 $$</annotation>\n </semantics></math> values of white matter at 3 T. We acquired in vivo data with a quantitative magnetization transfer and three <span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mrow>\n <mi>T</mi>\n </mrow>\n <mrow>\n <mn>1</mn>\n </mrow>\n </msub>\n </mrow>\n <annotation>$$ {T}_1 $$</annotation>\n </semantics></math>-mapping techniques. The former was used to synthesize MR images that correspond to the three <span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mrow>\n <mi>T</mi>\n </mrow>\n <mrow>\n <mn>1</mn>\n </mrow>\n </msub>\n </mrow>\n <annotation>$$ {T}_1 $$</annotation>\n </semantics></math>-mapping methods. A mono-exponential model was fitted to the experimental and corresponding synthesized MR images.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Mono-exponential simulations suggest good inter-method reproducibility and fail to explain the highly variable <span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mrow>\n <mi>T</mi>\n </mrow>\n <mrow>\n <mn>1</mn>\n </mrow>\n </msub>\n </mrow>\n <annotation>$$ {T}_1 $$</annotation>\n </semantics></math> estimates in the literature. In contrast, MT simulations suggest that a mono-exponential fit results in a variable <span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mrow>\n <mi>T</mi>\n </mrow>\n <mrow>\n <mn>1</mn>\n </mrow>\n </msub>\n </mrow>\n <annotation>$$ {T}_1 $$</annotation>\n </semantics></math> and explain up to 62% of the literature's variability. In our own in vivo experiments, MT explains 70% of the observed variability.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>The results suggest that a mono-exponential model does not adequately describe longitudinal relaxation in biological tissue. Therefore, <span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mrow>\n <mi>T</mi>\n </mrow>\n <mrow>\n <mn>1</mn>\n </mrow>\n </msub>\n </mrow>\n <annotation>$$ {T}_1 $$</annotation>\n </semantics></math> in biological tissue should be considered only a <i>semi-quantitative</i> metric that is inherently contingent upon the imaging methodology, and comparisons between different <span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mrow>\n <mi>T</mi>\n </mrow>\n <mrow>\n <mn>1</mn>\n </mrow>\n </msub>\n </mrow>\n <annotation>$$ {T}_1 $$</annotation>\n </semantics></math>-mapping methods and the use of simplistic spin systems—such as doped-water phantoms—for validation should be viewed with caution.</p>\n </section>\n </div>","PeriodicalId":18065,"journal":{"name":"Magnetic Resonance in Medicine","volume":"94 1","pages":"293-301"},"PeriodicalIF":3.0000,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Magnetization transfer explains most of the T1 variability in the MRI literature\",\"authors\":\"Jakob Assländer, Sebastian Flassbeck\",\"doi\":\"10.1002/mrm.30451\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Purpose</h3>\\n \\n <p>To identify the predominant source of the <span></span><math>\\n <semantics>\\n <mrow>\\n <msub>\\n <mrow>\\n <mi>T</mi>\\n </mrow>\\n <mrow>\\n <mn>1</mn>\\n </mrow>\\n </msub>\\n </mrow>\\n <annotation>$$ {T}_1 $$</annotation>\\n </semantics></math> variability described in the literature, which ranges from 0.6–1.1 s for brain white matter at 3 T.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>25 <span></span><math>\\n <semantics>\\n <mrow>\\n <msub>\\n <mrow>\\n <mi>T</mi>\\n </mrow>\\n <mrow>\\n <mn>1</mn>\\n </mrow>\\n </msub>\\n </mrow>\\n <annotation>$$ {T}_1 $$</annotation>\\n </semantics></math>-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 <span></span><math>\\n <semantics>\\n <mrow>\\n <msub>\\n <mrow>\\n <mi>T</mi>\\n </mrow>\\n <mrow>\\n <mn>1</mn>\\n </mrow>\\n </msub>\\n </mrow>\\n <annotation>$$ {T}_1 $$</annotation>\\n </semantics></math> values of white matter at 3 T. We acquired in vivo data with a quantitative magnetization transfer and three <span></span><math>\\n <semantics>\\n <mrow>\\n <msub>\\n <mrow>\\n <mi>T</mi>\\n </mrow>\\n <mrow>\\n <mn>1</mn>\\n </mrow>\\n </msub>\\n </mrow>\\n <annotation>$$ {T}_1 $$</annotation>\\n </semantics></math>-mapping techniques. The former was used to synthesize MR images that correspond to the three <span></span><math>\\n <semantics>\\n <mrow>\\n <msub>\\n <mrow>\\n <mi>T</mi>\\n </mrow>\\n <mrow>\\n <mn>1</mn>\\n </mrow>\\n </msub>\\n </mrow>\\n <annotation>$$ {T}_1 $$</annotation>\\n </semantics></math>-mapping methods. A mono-exponential model was fitted to the experimental and corresponding synthesized MR images.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Mono-exponential simulations suggest good inter-method reproducibility and fail to explain the highly variable <span></span><math>\\n <semantics>\\n <mrow>\\n <msub>\\n <mrow>\\n <mi>T</mi>\\n </mrow>\\n <mrow>\\n <mn>1</mn>\\n </mrow>\\n </msub>\\n </mrow>\\n <annotation>$$ {T}_1 $$</annotation>\\n </semantics></math> estimates in the literature. In contrast, MT simulations suggest that a mono-exponential fit results in a variable <span></span><math>\\n <semantics>\\n <mrow>\\n <msub>\\n <mrow>\\n <mi>T</mi>\\n </mrow>\\n <mrow>\\n <mn>1</mn>\\n </mrow>\\n </msub>\\n </mrow>\\n <annotation>$$ {T}_1 $$</annotation>\\n </semantics></math> and explain up to 62% of the literature's variability. In our own in vivo experiments, MT explains 70% of the observed variability.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusion</h3>\\n \\n <p>The results suggest that a mono-exponential model does not adequately describe longitudinal relaxation in biological tissue. Therefore, <span></span><math>\\n <semantics>\\n <mrow>\\n <msub>\\n <mrow>\\n <mi>T</mi>\\n </mrow>\\n <mrow>\\n <mn>1</mn>\\n </mrow>\\n </msub>\\n </mrow>\\n <annotation>$$ {T}_1 $$</annotation>\\n </semantics></math> in biological tissue should be considered only a <i>semi-quantitative</i> metric that is inherently contingent upon the imaging methodology, and comparisons between different <span></span><math>\\n <semantics>\\n <mrow>\\n <msub>\\n <mrow>\\n <mi>T</mi>\\n </mrow>\\n <mrow>\\n <mn>1</mn>\\n </mrow>\\n </msub>\\n </mrow>\\n <annotation>$$ {T}_1 $$</annotation>\\n </semantics></math>-mapping methods and the use of simplistic spin systems—such as doped-water phantoms—for validation should be viewed with caution.</p>\\n </section>\\n </div>\",\"PeriodicalId\":18065,\"journal\":{\"name\":\"Magnetic Resonance in Medicine\",\"volume\":\"94 1\",\"pages\":\"293-301\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2025-03-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Magnetic Resonance in Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/mrm.30451\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Magnetic Resonance in Medicine","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/mrm.30451","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 0
摘要
目的:确定文献中描述的t1 $$ {T}_1 $$变异性的主要来源,其范围为脑白质在3 T时的0.6-1.1 s。方法:用单指数和各种磁化转移(MT)模型模拟文献中的25种t1 $$ {T}_1 $$ -映射方法,每个模型都进行单指数拟合。所有方法的模拟均采用单一模型参数,并将基于模拟的模型参数与相应文献中3 T时白质t1 $$ {T}_1 $$值进行拟合来估计这些参数。我们通过定量磁化转移和三种t1 $$ {T}_1 $$ -mapping技术获得了体内数据。前者用于合成三种t1 $$ {T}_1 $$ -映射方法对应的MR图像。对实验图像和相应的合成MR图像进行了单指数模型拟合。结果:单指数模拟表明了良好的方法间再现性,但未能解释文献中高度可变的t1 $$ {T}_1 $$估计。相比之下,MT模拟表明单指数拟合导致变量t1 $$ {T}_1 $$并解释高达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, T 1 $$ {T}_1 $$ in biological tissue should be considered only a semi-quantitative metric that is inherently contingent upon the imaging methodology, and comparisons between different T 1 $$ {T}_1 $$ -mapping methods and the use of simplistic spin systems-such as doped-water phantoms-for validation should be viewed with caution.
Magnetization transfer explains most of the T1 variability in the MRI literature
Purpose
To identify the predominant source of the variability described in the literature, which ranges from 0.6–1.1 s for brain white matter at 3 T.
Methods
25 -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 values of white matter at 3 T. We acquired in vivo data with a quantitative magnetization transfer and three -mapping techniques. The former was used to synthesize MR images that correspond to the three -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 estimates in the literature. In contrast, MT simulations suggest that a mono-exponential fit results in a variable 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, in biological tissue should be considered only a semi-quantitative metric that is inherently contingent upon the imaging methodology, and comparisons between different -mapping methods and the use of simplistic spin systems—such as doped-water phantoms—for validation should be viewed with caution.
期刊介绍:
Magnetic Resonance in Medicine (Magn Reson Med) is an international journal devoted to the publication of original investigations concerned with all aspects of the development and use of nuclear magnetic resonance and electron paramagnetic resonance techniques for medical applications. Reports of original investigations in the areas of mathematics, computing, engineering, physics, biophysics, chemistry, biochemistry, and physiology directly relevant to magnetic resonance will be accepted, as well as methodology-oriented clinical studies.