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{"title":"在 1.5T 下进行三维联合 T1/T1 ρ/T2 映像分析和水脂成像,以确定无造影剂心肌组织的特征。","authors":"Michael G. Crabb, Karl P. Kunze, Simon J. Littlewood, Donovan Tripp, Anastasia Fotaki, Claudia Prieto, René M. Botnar","doi":"10.1002/mrm.30397","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Purpose</h3>\n \n <p>To develop a novel, free-breathing, 3D joint <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>/<span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mrow>\n <mi>T</mi>\n </mrow>\n <mrow>\n <mn>1</mn>\n <mi>ρ</mi>\n </mrow>\n </msub>\n </mrow>\n <annotation>$$ {T}_{1\\rho } $$</annotation>\n </semantics></math>/<span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mrow>\n <mi>T</mi>\n </mrow>\n <mrow>\n <mn>2</mn>\n </mrow>\n </msub>\n </mrow>\n <annotation>$$ {T}_2 $$</annotation>\n </semantics></math> mapping sequence with Dixon encoding to provide co-registered 3D <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>, <span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mrow>\n <mi>T</mi>\n </mrow>\n <mrow>\n <mn>1</mn>\n <mi>ρ</mi>\n </mrow>\n </msub>\n </mrow>\n <annotation>$$ {T}_{1\\rho } $$</annotation>\n </semantics></math>, and <span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mrow>\n <mi>T</mi>\n </mrow>\n <mrow>\n <mn>2</mn>\n </mrow>\n </msub>\n </mrow>\n <annotation>$$ {T}_2 $$</annotation>\n </semantics></math> maps and water-fat volumes with isotropic spatial resolution in a single <span></span><math>\n <semantics>\n <mrow>\n <mo>≈</mo>\n <mn>7</mn>\n </mrow>\n <annotation>$$ \\approx 7 $$</annotation>\n </semantics></math> min scan for comprehensive contrast-agent-free myocardial tissue characterization and simultaneous evaluation of the whole-heart anatomy.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>An interleaving sequence over 5 heartbeats is proposed to provide <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>, <span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mrow>\n <mi>T</mi>\n </mrow>\n <mrow>\n <mn>1</mn>\n <mi>ρ</mi>\n </mrow>\n </msub>\n </mrow>\n <annotation>$$ {T}_{1\\rho } $$</annotation>\n </semantics></math>, and <span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mrow>\n <mi>T</mi>\n </mrow>\n <mrow>\n <mn>2</mn>\n </mrow>\n </msub>\n </mrow>\n <annotation>$$ {T}_2 $$</annotation>\n </semantics></math> encoding, with 3D data acquired with Dixon gradient-echo readout and 2D image navigators to enable <span></span><math>\n <semantics>\n <mrow>\n <mn>100</mn>\n <mo>%</mo>\n </mrow>\n <annotation>$$ 100\\% $$</annotation>\n </semantics></math> respiratory scan efficiency. Images were reconstructed with a non-rigid motion-corrected, low-rank patch-based reconstruction, and maps were generated through dictionary matching. The proposed sequence was compared against conventional 2D techniques in phantoms, 10 healthy subjects, and 1 patient.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The proposed 3D <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>, <span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mrow>\n <mi>T</mi>\n </mrow>\n <mrow>\n <mn>1</mn>\n <mi>ρ</mi>\n </mrow>\n </msub>\n </mrow>\n <annotation>$$ {T}_{1\\rho } $$</annotation>\n </semantics></math>, and <span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mrow>\n <mi>T</mi>\n </mrow>\n <mrow>\n <mn>2</mn>\n </mrow>\n </msub>\n </mrow>\n <annotation>$$ {T}_2 $$</annotation>\n </semantics></math> measurements showed excellent correlation with 2D reference measurements in phantoms. For healthy subjects, the mapping values of septal myocardial tissue were <span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mi>T</mi>\n <mn>1</mn>\n </msub>\n <mo>=</mo>\n <mn>1060</mn>\n <mo>±</mo>\n <mn>48</mn>\n <mspace></mspace>\n <mtext>ms</mtext>\n </mrow>\n <annotation>$$ {T}_1=1060\\pm 48\\kern0.2778em \\mathrm{ms} $$</annotation>\n </semantics></math>, <span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mi>T</mi>\n <mrow>\n <mn>1</mn>\n <mi>ρ</mi>\n </mrow>\n </msub>\n <mo>=</mo>\n <mn>48</mn>\n <mo>.</mo>\n <mn>1</mn>\n <mo>±</mo>\n <mn>3</mn>\n <mo>.</mo>\n <mn>9</mn>\n <mspace></mspace>\n <mtext>ms</mtext>\n </mrow>\n <annotation>$$ {T}_{1\\rho }=48.1\\pm 3.9\\kern0.2778em \\mathrm{ms} $$</annotation>\n </semantics></math>, and <span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mi>T</mi>\n <mn>2</mn>\n </msub>\n <mo>=</mo>\n <mn>44</mn>\n <mo>.</mo>\n <mn>2</mn>\n <mo>±</mo>\n <mn>3</mn>\n <mo>.</mo>\n <mn>2</mn>\n <mspace></mspace>\n <mtext>ms</mtext>\n </mrow>\n <annotation>$$ {T}_2=44.2\\pm 3.2\\kern0.2778em \\mathrm{ms} $$</annotation>\n </semantics></math> for the proposed sequence, against <span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mi>T</mi>\n <mn>1</mn>\n </msub>\n <mo>=</mo>\n <mn>959</mn>\n <mo>±</mo>\n <mn>15</mn>\n <mspace></mspace>\n <mtext>ms</mtext>\n </mrow>\n <annotation>$$ {T}_1=959\\pm 15\\kern0.2778em \\mathrm{ms} $$</annotation>\n </semantics></math>, <span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mi>T</mi>\n <mrow>\n <mn>1</mn>\n <mi>ρ</mi>\n </mrow>\n </msub>\n <mo>=</mo>\n <mn>56</mn>\n <mo>.</mo>\n <mn>4</mn>\n <mo>±</mo>\n <mn>1</mn>\n <mo>.</mo>\n <mn>9</mn>\n <mspace></mspace>\n <mtext>ms</mtext>\n </mrow>\n <annotation>$$ {T}_{1\\rho }=56.4\\pm 1.9\\kern0.2778em \\mathrm{ms} $$</annotation>\n </semantics></math>, and <span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mi>T</mi>\n <mn>2</mn>\n </msub>\n <mo>=</mo>\n <mn>47</mn>\n <mo>.</mo>\n <mn>3</mn>\n <mo>±</mo>\n <mn>1</mn>\n <mo>.</mo>\n <mn>5</mn>\n <mspace></mspace>\n <mtext>ms</mtext>\n </mrow>\n <annotation>$$ {T}_2=47.3\\pm 1.5\\kern0.2778em \\mathrm{ms} $$</annotation>\n </semantics></math> for 2D MOLLI, 2D <span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mrow>\n <mi>T</mi>\n </mrow>\n <mrow>\n <mn>1</mn>\n <mi>ρ</mi>\n </mrow>\n </msub>\n </mrow>\n <annotation>$$ {T}_{1\\rho } $$</annotation>\n </semantics></math>-prep bSSFP and 2D <span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mrow>\n <mi>T</mi>\n </mrow>\n <mrow>\n <mn>2</mn>\n </mrow>\n </msub>\n </mrow>\n <annotation>$$ {T}_2 $$</annotation>\n </semantics></math>-prep bSSFP, respectively. Promising results were obtained when comparing the proposed mapping to 2D references in 1 patient with active myocarditis.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>The proposed approach enables simultaneous 3D whole-heart joint <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>/<span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mrow>\n <mi>T</mi>\n </mrow>\n <mrow>\n <mn>1</mn>\n <mi>ρ</mi>\n </mrow>\n </msub>\n </mrow>\n <annotation>$$ {T}_{1\\rho } $$</annotation>\n </semantics></math>/<span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mrow>\n <mi>T</mi>\n </mrow>\n <mrow>\n <mn>2</mn>\n </mrow>\n </msub>\n </mrow>\n <annotation>$$ {T}_2 $$</annotation>\n </semantics></math> mapping and water/fat imaging in <span></span><math>\n <semantics>\n <mrow>\n <mo>≈</mo>\n </mrow>\n <annotation>$$ \\approx $$</annotation>\n </semantics></math> 7 min scan time, demonstrating good agreement with conventional mapping techniques in phantoms and healthy subjects and promising results in 1 patient with suspected cardiovascular disease.</p>\n </section>\n </div>","PeriodicalId":18065,"journal":{"name":"Magnetic Resonance in Medicine","volume":"93 6","pages":"2297-2310"},"PeriodicalIF":3.0000,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/mrm.30397","citationCount":"0","resultStr":"{\"title\":\"3D joint T1/T1ρ/T2 mapping and water-fat imaging for contrast-agent free myocardial tissue characterization at 1.5T\",\"authors\":\"Michael G. Crabb, Karl P. Kunze, Simon J. Littlewood, Donovan Tripp, Anastasia Fotaki, Claudia Prieto, René M. Botnar\",\"doi\":\"10.1002/mrm.30397\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Purpose</h3>\\n \\n <p>To develop a novel, free-breathing, 3D joint <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>/<span></span><math>\\n <semantics>\\n <mrow>\\n <msub>\\n <mrow>\\n <mi>T</mi>\\n </mrow>\\n <mrow>\\n <mn>1</mn>\\n <mi>ρ</mi>\\n </mrow>\\n </msub>\\n </mrow>\\n <annotation>$$ {T}_{1\\\\rho } $$</annotation>\\n </semantics></math>/<span></span><math>\\n <semantics>\\n <mrow>\\n <msub>\\n <mrow>\\n <mi>T</mi>\\n </mrow>\\n <mrow>\\n <mn>2</mn>\\n </mrow>\\n </msub>\\n </mrow>\\n <annotation>$$ {T}_2 $$</annotation>\\n </semantics></math> mapping sequence with Dixon encoding to provide co-registered 3D <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>, <span></span><math>\\n <semantics>\\n <mrow>\\n <msub>\\n <mrow>\\n <mi>T</mi>\\n </mrow>\\n <mrow>\\n <mn>1</mn>\\n <mi>ρ</mi>\\n </mrow>\\n </msub>\\n </mrow>\\n <annotation>$$ {T}_{1\\\\rho } $$</annotation>\\n </semantics></math>, and <span></span><math>\\n <semantics>\\n <mrow>\\n <msub>\\n <mrow>\\n <mi>T</mi>\\n </mrow>\\n <mrow>\\n <mn>2</mn>\\n </mrow>\\n </msub>\\n </mrow>\\n <annotation>$$ {T}_2 $$</annotation>\\n </semantics></math> maps and water-fat volumes with isotropic spatial resolution in a single <span></span><math>\\n <semantics>\\n <mrow>\\n <mo>≈</mo>\\n <mn>7</mn>\\n </mrow>\\n <annotation>$$ \\\\approx 7 $$</annotation>\\n </semantics></math> min scan for comprehensive contrast-agent-free myocardial tissue characterization and simultaneous evaluation of the whole-heart anatomy.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>An interleaving sequence over 5 heartbeats is proposed to provide <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>, <span></span><math>\\n <semantics>\\n <mrow>\\n <msub>\\n <mrow>\\n <mi>T</mi>\\n </mrow>\\n <mrow>\\n <mn>1</mn>\\n <mi>ρ</mi>\\n </mrow>\\n </msub>\\n </mrow>\\n <annotation>$$ {T}_{1\\\\rho } $$</annotation>\\n </semantics></math>, and <span></span><math>\\n <semantics>\\n <mrow>\\n <msub>\\n <mrow>\\n <mi>T</mi>\\n </mrow>\\n <mrow>\\n <mn>2</mn>\\n </mrow>\\n </msub>\\n </mrow>\\n <annotation>$$ {T}_2 $$</annotation>\\n </semantics></math> encoding, with 3D data acquired with Dixon gradient-echo readout and 2D image navigators to enable <span></span><math>\\n <semantics>\\n <mrow>\\n <mn>100</mn>\\n <mo>%</mo>\\n </mrow>\\n <annotation>$$ 100\\\\% $$</annotation>\\n </semantics></math> respiratory scan efficiency. Images were reconstructed with a non-rigid motion-corrected, low-rank patch-based reconstruction, and maps were generated through dictionary matching. The proposed sequence was compared against conventional 2D techniques in phantoms, 10 healthy subjects, and 1 patient.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>The proposed 3D <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>, <span></span><math>\\n <semantics>\\n <mrow>\\n <msub>\\n <mrow>\\n <mi>T</mi>\\n </mrow>\\n <mrow>\\n <mn>1</mn>\\n <mi>ρ</mi>\\n </mrow>\\n </msub>\\n </mrow>\\n <annotation>$$ {T}_{1\\\\rho } $$</annotation>\\n </semantics></math>, and <span></span><math>\\n <semantics>\\n <mrow>\\n <msub>\\n <mrow>\\n <mi>T</mi>\\n </mrow>\\n <mrow>\\n <mn>2</mn>\\n </mrow>\\n </msub>\\n </mrow>\\n <annotation>$$ {T}_2 $$</annotation>\\n </semantics></math> measurements showed excellent correlation with 2D reference measurements in phantoms. For healthy subjects, the mapping values of septal myocardial tissue were <span></span><math>\\n <semantics>\\n <mrow>\\n <msub>\\n <mi>T</mi>\\n <mn>1</mn>\\n </msub>\\n <mo>=</mo>\\n <mn>1060</mn>\\n <mo>±</mo>\\n <mn>48</mn>\\n <mspace></mspace>\\n <mtext>ms</mtext>\\n </mrow>\\n <annotation>$$ {T}_1=1060\\\\pm 48\\\\kern0.2778em \\\\mathrm{ms} $$</annotation>\\n </semantics></math>, <span></span><math>\\n <semantics>\\n <mrow>\\n <msub>\\n <mi>T</mi>\\n <mrow>\\n <mn>1</mn>\\n <mi>ρ</mi>\\n </mrow>\\n </msub>\\n <mo>=</mo>\\n <mn>48</mn>\\n <mo>.</mo>\\n <mn>1</mn>\\n <mo>±</mo>\\n <mn>3</mn>\\n <mo>.</mo>\\n <mn>9</mn>\\n <mspace></mspace>\\n <mtext>ms</mtext>\\n </mrow>\\n <annotation>$$ {T}_{1\\\\rho }=48.1\\\\pm 3.9\\\\kern0.2778em \\\\mathrm{ms} $$</annotation>\\n </semantics></math>, and <span></span><math>\\n <semantics>\\n <mrow>\\n <msub>\\n <mi>T</mi>\\n <mn>2</mn>\\n </msub>\\n <mo>=</mo>\\n <mn>44</mn>\\n <mo>.</mo>\\n <mn>2</mn>\\n <mo>±</mo>\\n <mn>3</mn>\\n <mo>.</mo>\\n <mn>2</mn>\\n <mspace></mspace>\\n <mtext>ms</mtext>\\n </mrow>\\n <annotation>$$ {T}_2=44.2\\\\pm 3.2\\\\kern0.2778em \\\\mathrm{ms} $$</annotation>\\n </semantics></math> for the proposed sequence, against <span></span><math>\\n <semantics>\\n <mrow>\\n <msub>\\n <mi>T</mi>\\n <mn>1</mn>\\n </msub>\\n <mo>=</mo>\\n <mn>959</mn>\\n <mo>±</mo>\\n <mn>15</mn>\\n <mspace></mspace>\\n <mtext>ms</mtext>\\n </mrow>\\n <annotation>$$ {T}_1=959\\\\pm 15\\\\kern0.2778em \\\\mathrm{ms} $$</annotation>\\n </semantics></math>, <span></span><math>\\n <semantics>\\n <mrow>\\n <msub>\\n <mi>T</mi>\\n <mrow>\\n <mn>1</mn>\\n <mi>ρ</mi>\\n </mrow>\\n </msub>\\n <mo>=</mo>\\n <mn>56</mn>\\n <mo>.</mo>\\n <mn>4</mn>\\n <mo>±</mo>\\n <mn>1</mn>\\n <mo>.</mo>\\n <mn>9</mn>\\n <mspace></mspace>\\n <mtext>ms</mtext>\\n </mrow>\\n <annotation>$$ {T}_{1\\\\rho }=56.4\\\\pm 1.9\\\\kern0.2778em \\\\mathrm{ms} $$</annotation>\\n </semantics></math>, and <span></span><math>\\n <semantics>\\n <mrow>\\n <msub>\\n <mi>T</mi>\\n <mn>2</mn>\\n </msub>\\n <mo>=</mo>\\n <mn>47</mn>\\n <mo>.</mo>\\n <mn>3</mn>\\n <mo>±</mo>\\n <mn>1</mn>\\n <mo>.</mo>\\n <mn>5</mn>\\n <mspace></mspace>\\n <mtext>ms</mtext>\\n </mrow>\\n <annotation>$$ {T}_2=47.3\\\\pm 1.5\\\\kern0.2778em \\\\mathrm{ms} $$</annotation>\\n </semantics></math> for 2D MOLLI, 2D <span></span><math>\\n <semantics>\\n <mrow>\\n <msub>\\n <mrow>\\n <mi>T</mi>\\n </mrow>\\n <mrow>\\n <mn>1</mn>\\n <mi>ρ</mi>\\n </mrow>\\n </msub>\\n </mrow>\\n <annotation>$$ {T}_{1\\\\rho } $$</annotation>\\n </semantics></math>-prep bSSFP and 2D <span></span><math>\\n <semantics>\\n <mrow>\\n <msub>\\n <mrow>\\n <mi>T</mi>\\n </mrow>\\n <mrow>\\n <mn>2</mn>\\n </mrow>\\n </msub>\\n </mrow>\\n <annotation>$$ {T}_2 $$</annotation>\\n </semantics></math>-prep bSSFP, respectively. Promising results were obtained when comparing the proposed mapping to 2D references in 1 patient with active myocarditis.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusion</h3>\\n \\n <p>The proposed approach enables simultaneous 3D whole-heart joint <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>/<span></span><math>\\n <semantics>\\n <mrow>\\n <msub>\\n <mrow>\\n <mi>T</mi>\\n </mrow>\\n <mrow>\\n <mn>1</mn>\\n <mi>ρ</mi>\\n </mrow>\\n </msub>\\n </mrow>\\n <annotation>$$ {T}_{1\\\\rho } $$</annotation>\\n </semantics></math>/<span></span><math>\\n <semantics>\\n <mrow>\\n <msub>\\n <mrow>\\n <mi>T</mi>\\n </mrow>\\n <mrow>\\n <mn>2</mn>\\n </mrow>\\n </msub>\\n </mrow>\\n <annotation>$$ {T}_2 $$</annotation>\\n </semantics></math> mapping and water/fat imaging in <span></span><math>\\n <semantics>\\n <mrow>\\n <mo>≈</mo>\\n </mrow>\\n <annotation>$$ \\\\approx $$</annotation>\\n </semantics></math> 7 min scan time, demonstrating good agreement with conventional mapping techniques in phantoms and healthy subjects and promising results in 1 patient with suspected cardiovascular disease.</p>\\n </section>\\n </div>\",\"PeriodicalId\":18065,\"journal\":{\"name\":\"Magnetic Resonance in Medicine\",\"volume\":\"93 6\",\"pages\":\"2297-2310\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2025-02-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/mrm.30397\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Magnetic Resonance in Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/mrm.30397\",\"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.30397","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}
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摘要
目的:为了开发一种新颖的、自由呼吸的3D关节t1 $$ {T}_1 $$ / t1 ρ $$ {T}_{1\rho } $$ / t2 $$ {T}_2 $$映射序列,使用Dixon编码提供共注册的3D t1 $$ {T}_1 $$, t1 ρ $$ {T}_{1\rho } $$,t2 $$ {T}_2 $$地图和水脂肪体积,具有各向同性空间分辨率,在单次≈7 $$ \approx 7 $$ min扫描中用于全面的无造影剂心肌组织表征和全心脏解剖的同时评估。方法:提出了一个超过5次心跳的交错序列,以提供t1 $$ {T}_1 $$, t1 ρ $$ {T}_{1\rho } $$和t2 $$ {T}_2 $$编码,并使用Dixon梯度回波读出和2D图像导航器获得3D数据,使100成为可能 % $$ 100\% $$ respiratory scan efficiency. Images were reconstructed with a non-rigid motion-corrected, low-rank patch-based reconstruction, and maps were generated through dictionary matching. The proposed sequence was compared against conventional 2D techniques in phantoms, 10 healthy subjects, and 1 patient.Results: The proposed 3D T 1 $$ {T}_1 $$ , T 1 ρ $$ {T}_{1\rho } $$ , and T 2 $$ {T}_2 $$ measurements showed excellent correlation with 2D reference measurements in phantoms. For healthy subjects, the mapping values of septal myocardial tissue were T 1 = 1060 ± 48 ms $$ {T}_1=1060\pm 48\kern0.2778em \mathrm{ms} $$ , T 1 ρ = 48 . 1 ± 3 . 9 ms $$ {T}_{1\rho }=48.1\pm 3.9\kern0.2778em \mathrm{ms} $$ , and T 2 = 44 . 2 ± 3 . 2 ms $$ {T}_2=44.2\pm 3.2\kern0.2778em \mathrm{ms} $$ for the proposed sequence, against T 1 = 959 ± 15 ms $$ {T}_1=959\pm 15\kern0.2778em \mathrm{ms} $$ , T 1 ρ = 56 . 4 ± 1 . 9 ms $$ {T}_{1\rho }=56.4\pm 1.9\kern0.2778em \mathrm{ms} $$ , and T 2 = 47 . 3 ± 1 . 5 ms $$ {T}_2=47.3\pm 1.5\kern0.2778em \mathrm{ms} $$ for 2D MOLLI, 2D T 1 ρ $$ {T}_{1\rho } $$ -prep bSSFP and 2D T 2 $$ {T}_2 $$ -prep bSSFP, respectively. Promising results were obtained when comparing the proposed mapping to 2D references in 1 patient with active myocarditis.Conclusion: The proposed approach enables simultaneous 3D whole-heart joint T 1 $$ {T}_1 $$ / T 1 ρ $$ {T}_{1\rho } $$ / T 2 $$ {T}_2 $$ mapping and water/fat imaging in ≈ $$ \approx $$ 7 min scan time, demonstrating good agreement with conventional mapping techniques in phantoms and healthy subjects and promising results in 1 patient with suspected cardiovascular disease.
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