Soo Han Soon, Xin Li, Matt Waks, Xiao-Hong Zhu, Hannes M. Wiesner, Navid P. Gandji, Qing X. Yang, Michael T. Lanagan, Wei Chen
{"title":"Large improvement in RF magnetic fields and imaging SNR with whole-head high-permittivity slurry helmet for human-brain MRI applications at 7 T","authors":"Soo Han Soon, Xin Li, Matt Waks, Xiao-Hong Zhu, Hannes M. Wiesner, Navid P. Gandji, Qing X. Yang, Michael T. Lanagan, Wei Chen","doi":"10.1002/mrm.30350","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Purpose</h3>\n \n <p>To optimize the design and demonstrate the integration of a helmet-shaped container filled with a high-permittivity material (HPM) slurry with RF head coil arrays to improve RF coil sensitivity and SNR for human-brain proton MRI.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>RF reception magnetic fields (<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>$$ {\\mathrm{B}}_1^{-} $$</annotation>\n </semantics></math>) of a 32-channel receive-only coil array with various geometries and permittivity values of HPM slurry helmet are calculated with electromagnetic simulation at 7 T. A 16-channel transmit-only coil array, a 32-channel receive-only coil array, and a 2-piece HPM slurry helmet were constructed and assembled. RF transmission magnetic field (<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>$$ {\\mathrm{B}}_1^{+} $$</annotation>\n </semantics></math>), <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>$$ {\\mathrm{B}}_1^{-} $$</annotation>\n </semantics></math>, and MRI SNR maps from the entire human brain were measured and compared.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Simulations showed that averaged <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>$$ {\\mathrm{B}}_1^{-} $$</annotation>\n </semantics></math> improvement with the HPM slurry helmet increased from 57% to 87% as the relative permittivity (<i>ε</i><sub>r</sub>) of HPM slurry increased from 110 to 210. In vivo experiments showed that the average <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>$$ {\\mathrm{B}}_1^{+} $$</annotation>\n </semantics></math> improvement over the human brain was 14.5% with the two-piece HPM slurry (<i>ε</i><sub>r</sub> ≈ 170) helmet, and the average <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>$$ {\\mathrm{B}}_1^{-} $$</annotation>\n </semantics></math> and SNR were improved 63% and 34%, respectively, because the MRI noise level was increased by the lossy HPM.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>The RF coil sensitivity and MRI SNR were largely improved with the two-piece HPM slurry helmet demonstrated by both electromagnetic simulations and in vivo human head experiments at 7 T. The findings demonstrate that incorporating an easily producible HPM slurry helmet into the RF coil array significantly enhances human-brain MRI SNR homogeneity and quality at ultrahigh field. Greater SNR improvement is anticipated using the less lossy HPM and optimal design.</p>\n </section>\n </div>","PeriodicalId":18065,"journal":{"name":"Magnetic Resonance in Medicine","volume":"93 3","pages":"1205-1219"},"PeriodicalIF":3.0000,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11680740/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Magnetic Resonance in Medicine","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/mrm.30350","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
Abstract
Purpose
To optimize the design and demonstrate the integration of a helmet-shaped container filled with a high-permittivity material (HPM) slurry with RF head coil arrays to improve RF coil sensitivity and SNR for human-brain proton MRI.
Methods
RF reception magnetic fields () of a 32-channel receive-only coil array with various geometries and permittivity values of HPM slurry helmet are calculated with electromagnetic simulation at 7 T. A 16-channel transmit-only coil array, a 32-channel receive-only coil array, and a 2-piece HPM slurry helmet were constructed and assembled. RF transmission magnetic field (), , and MRI SNR maps from the entire human brain were measured and compared.
Results
Simulations showed that averaged improvement with the HPM slurry helmet increased from 57% to 87% as the relative permittivity (εr) of HPM slurry increased from 110 to 210. In vivo experiments showed that the average improvement over the human brain was 14.5% with the two-piece HPM slurry (εr ≈ 170) helmet, and the average and SNR were improved 63% and 34%, respectively, because the MRI noise level was increased by the lossy HPM.
Conclusion
The RF coil sensitivity and MRI SNR were largely improved with the two-piece HPM slurry helmet demonstrated by both electromagnetic simulations and in vivo human head experiments at 7 T. The findings demonstrate that incorporating an easily producible HPM slurry helmet into the RF coil array significantly enhances human-brain MRI SNR homogeneity and quality at ultrahigh field. Greater SNR improvement is anticipated using the less lossy HPM and optimal design.
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.