Accurate and precise in vivo liver 3D T1 mapping at 3T

IF 3 3区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Gabriela Belsley, Ferenc E. Mózes, Damian J. Tyler, Matthew D. Robson, Elizabeth M. Tunnicliffe
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To correct for this, the flip angle was mapped using a 2D gradient-echo double-angle method approach. To correct for the confounding effect of fat on liver <span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mi>T</mi>\n <mn>1</mn>\n </msub>\n </mrow>\n <annotation>$$ {T}_1 $$</annotation>\n </semantics></math> and <span></span><math>\n <semantics>\n <mrow>\n <msubsup>\n <mi>B</mi>\n <mn>1</mn>\n <mo>+</mo>\n </msubsup>\n </mrow>\n <annotation>$$ {B}_1^{+} $$</annotation>\n </semantics></math>, Dixon and fat saturation techniques were used in combination with the variable flip angle and the <span></span><math>\n <semantics>\n <mrow>\n <msubsup>\n <mi>B</mi>\n <mn>1</mn>\n <mo>+</mo>\n </msubsup>\n </mrow>\n <annotation>$$ {B}_1^{+} $$</annotation>\n </semantics></math> map acquisitions, respectively. The <span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mi>T</mi>\n <mn>1</mn>\n </msub>\n </mrow>\n <annotation>$$ {T}_1 $$</annotation>\n </semantics></math> and <span></span><math>\n <semantics>\n <mrow>\n <msubsup>\n <mi>B</mi>\n <mn>1</mn>\n <mo>+</mo>\n </msubsup>\n </mrow>\n <annotation>$$ {B}_1^{+} $$</annotation>\n </semantics></math> mapping methods were validated with a <span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mi>T</mi>\n <mn>1</mn>\n </msub>\n </mrow>\n <annotation>$$ {T}_1 $$</annotation>\n </semantics></math>-phantom against gold standard methods. An intra- and inter-repeatability study was conducted at 3T in 10 healthy individuals' livers.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The developed 3D <span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mi>T</mi>\n <mn>1</mn>\n </msub>\n </mrow>\n <annotation>$$ {T}_1 $$</annotation>\n </semantics></math> mapping method achieved an excellent agreement with the gold standard, with a weighted root mean squared normalized error below 2.8%. In vivo, a median <span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mi>T</mi>\n <mn>1</mn>\n </msub>\n </mrow>\n <annotation>$$ {T}_1 $$</annotation>\n </semantics></math> standard deviation of 31 ms and an interquartile range of [27, 39] ms was achieved across all measurements, including the intra- and inter-repeatability study data. A within-subject standard deviation for <span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mi>T</mi>\n <mn>1</mn>\n </msub>\n </mrow>\n <annotation>$$ {T}_1 $$</annotation>\n </semantics></math> of 21 ± 5 ms had a corresponding repeatability coefficient of 60 ms. 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引用次数: 0

Abstract

Purpose

To develop an accurate and precise liver 3D T 1 $$ {T}_1 $$ mapping method using only scanner-agnostic sequences.

Methods

While the spoiled gradient-recalled echo sequence is widely available on clinical scanners, variable flip angle T 1 $$ {T}_1 $$ mapping methods based on this sequence provide biased T 1 $$ {T}_1 $$ estimates, with the largest systematic error arising from B 1 + $$ {B}_1^{+} $$ inhomogeneities. To correct for this, the flip angle was mapped using a 2D gradient-echo double-angle method approach. To correct for the confounding effect of fat on liver T 1 $$ {T}_1 $$ and B 1 + $$ {B}_1^{+} $$ , Dixon and fat saturation techniques were used in combination with the variable flip angle and the B 1 + $$ {B}_1^{+} $$ map acquisitions, respectively. The T 1 $$ {T}_1 $$ and B 1 + $$ {B}_1^{+} $$ mapping methods were validated with a T 1 $$ {T}_1 $$ -phantom against gold standard methods. An intra- and inter-repeatability study was conducted at 3T in 10 healthy individuals' livers.

Results

The developed 3D T 1 $$ {T}_1 $$ mapping method achieved an excellent agreement with the gold standard, with a weighted root mean squared normalized error below 2.8%. In vivo, a median T 1 $$ {T}_1 $$ standard deviation of 31 ms and an interquartile range of [27, 39] ms was achieved across all measurements, including the intra- and inter-repeatability study data. A within-subject standard deviation for T 1 $$ {T}_1 $$ of 21 ± 5 ms had a corresponding repeatability coefficient of 60 ms. The measured T 1 $$ {T}_1 $$ values agree well with MOLLI and SASHA T 1 $$ {T}_1 $$ mapping methods, with average T 1 $$ {T}_1 $$ differences of 5%.

Conclusion

Accurate and precise 3D T 1 $$ {T}_1 $$ liver measurements can lead the way to the wider adoption of a clinically feasible T 1 $$ {T}_1 $$ measurement as a marker of hepatic fibro-inflammation.

Abstract Image

准确和精确的活体肝脏3D T1 3T制图。
目的:建立一种精确的肝脏3D t1 $$ {T}_1 $$制图方法,仅使用扫描仪不可知的序列。方法:虽然破坏梯度召回回波序列在临床扫描仪上广泛使用,但基于该序列的可变翻转角度t1 $$ {T}_1 $$映射方法提供了有偏差的t1 $$ {T}_1 $$估计,最大的系统误差来自b1 + $$ {B}_1^{+} $$的不均匀性。为了纠正这一点,使用二维梯度-回波双角方法绘制了翻转角。为了纠正脂肪对肝脏t1 $$ {T}_1 $$和b1 + $$ {B}_1^{+} $$的混淆效应,Dixon和脂肪饱和技术分别与可变翻转角度和b1 + $$ {B}_1^{+} $$图谱采集相结合。t1 $$ {T}_1 $$和b1 + $$ {B}_1^{+} $$映射方法用t1 $$ {T}_1 $$ -幻影对照金标准方法进行验证。在10个健康人的肝脏中进行了3T的内部和内部重复性研究。结果:建立的三维t1 $$ {T}_1 $$映射方法与金标准的一致性很好,加权均方根归一化误差在2.8以下%. In vivo, a median T 1 $$ {T}_1 $$ standard deviation of 31 ms and an interquartile range of [27, 39] ms was achieved across all measurements, including the intra- and inter-repeatability study data. A within-subject standard deviation for T 1 $$ {T}_1 $$ of 21 ± 5 ms had a corresponding repeatability coefficient of 60 ms. The measured T 1 $$ {T}_1 $$ values agree well with MOLLI and SASHA T 1 $$ {T}_1 $$ mapping methods, with average T 1 $$ {T}_1 $$ differences of 5%.Conclusion: Accurate and precise 3D T 1 $$ {T}_1 $$ liver measurements can lead the way to the wider adoption of a clinically feasible T 1 $$ {T}_1 $$ measurement as a marker of hepatic fibro-inflammation.
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来源期刊
CiteScore
6.70
自引率
24.20%
发文量
376
审稿时长
2-4 weeks
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.
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