Novel Software Tools for Rational Design and Assessment of MR Coils

用于磁流变线圈合理设计和评估的新型软件工具

基本信息

项目摘要

Project Summary/Abstract Novel Software Tools for Rational Design and Assessment of MR coils The goal of this project is to develop a comprehensive software package for the design and evaluation of radiofrequency (RF) coils for applications in magnetic resonance imaging (MRI). By means of an intuitive graphical user interface, RF engineers will be able to design highly performing receive and transmit coil arrays, tailoring the shape of the individual elements to the specific imaging task and optimally arranging them around the object of interest, thanks to accurate predictions of coil performance. We will also develop standardized evaluation protocols to quantitatively assess coils against well-defined theoretical performance limits, which are calculated by applying electrodynamics principles and provide an absolute reference, independent on any particular coil geometry. We will integrate various software tools into a modular and flexible software architecture, which will enable other researchers to add extensions and develop stand-alone applications. We will validate the accuracy of the simulation tools and evaluate the software utility through a network of beta testers. In addition to coil design, our comprehensive package will enable to test novel pulse sequences and image reconstruction algorithms, making rigorous development of new ideas accessible to the scientific community, including those with no access to MRI systems. The final software, which will be publicly distributed through a dedicated website with a maintenance plan beyond the duration of the project, will become an invaluable tool that will positively impact the field of medical imaging, with benefits for the entire community.
项目总结/文摘

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Riccardo Lattanzi其他文献

Riccardo Lattanzi的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Riccardo Lattanzi', 18)}}的其他基金

Quantitative Analysis of Carpal Kinematics Using 3D Dynamic MRI
使用 3D 动态 MRI 定量分析腕骨运动学
  • 批准号:
    10354380
  • 财政年份:
    2022
  • 资助金额:
    $ 62.25万
  • 项目类别:
Quantitative Analysis of Carpal Kinematics Using 3D Dynamic MRI
使用 3D 动态 MRI 定量分析腕骨运动学
  • 批准号:
    10554164
  • 财政年份:
    2022
  • 资助金额:
    $ 62.25万
  • 项目类别:
Cloud MR: an Open-Source Software Framework to Democratize MRI Training and Research
Cloud MR:使 MRI 培训和研究大众化的开源软件框架
  • 批准号:
    10587391
  • 财政年份:
    2017
  • 资助金额:
    $ 62.25万
  • 项目类别:
Novel Software Tools for Rational Design and Assessment of MR Coils
用于磁流变线圈合理设计和评估的新型软件工具
  • 批准号:
    9364167
  • 财政年份:
    2017
  • 资助金额:
    $ 62.25万
  • 项目类别:
Hip Chondromics: Comprehensive Cartilage Characterization with MR Fingerprinting
髋关节软骨组学:利用 MR 指纹图谱进行综合软骨表征
  • 批准号:
    9526421
  • 财政年份:
    2016
  • 资助金额:
    $ 62.25万
  • 项目类别:
Hip Chondromics: Comprehensive Cartilage Characterization with MR Fingerprinting
髋关节软骨组学:利用 MR 指纹图谱进行综合软骨表征
  • 批准号:
    9975102
  • 财政年份:
    2016
  • 资助金额:
    $ 62.25万
  • 项目类别:
Hip Chondromics: Comprehensive Cartilage Characterization with MR Fingerprinting
髋关节软骨组学:利用 MR 指纹图谱进行综合软骨表征
  • 批准号:
    10201516
  • 财政年份:
    2016
  • 资助金额:
    $ 62.25万
  • 项目类别:
Training & Dissemination
训练
  • 批准号:
    10701724
  • 财政年份:
    2014
  • 资助金额:
    $ 62.25万
  • 项目类别:
Training & Dissemination
训练
  • 批准号:
    10453648
  • 财政年份:
    2014
  • 资助金额:
    $ 62.25万
  • 项目类别:
Training & Dissemination
训练
  • 批准号:
    9804444
  • 财政年份:
    2014
  • 资助金额:
    $ 62.25万
  • 项目类别:

相似海外基金

CAREER: Blessing of Nonconvexity in Machine Learning - Landscape Analysis and Efficient Algorithms
职业:机器学习中非凸性的祝福 - 景观分析和高效算法
  • 批准号:
    2337776
  • 财政年份:
    2024
  • 资助金额:
    $ 62.25万
  • 项目类别:
    Continuing Grant
CAREER: From Dynamic Algorithms to Fast Optimization and Back
职业:从动态算法到快速优化并返回
  • 批准号:
    2338816
  • 财政年份:
    2024
  • 资助金额:
    $ 62.25万
  • 项目类别:
    Continuing Grant
CAREER: Structured Minimax Optimization: Theory, Algorithms, and Applications in Robust Learning
职业:结构化极小极大优化:稳健学习中的理论、算法和应用
  • 批准号:
    2338846
  • 财政年份:
    2024
  • 资助金额:
    $ 62.25万
  • 项目类别:
    Continuing Grant
CRII: SaTC: Reliable Hardware Architectures Against Side-Channel Attacks for Post-Quantum Cryptographic Algorithms
CRII:SaTC:针对后量子密码算法的侧通道攻击的可靠硬件架构
  • 批准号:
    2348261
  • 财政年份:
    2024
  • 资助金额:
    $ 62.25万
  • 项目类别:
    Standard Grant
CRII: AF: The Impact of Knowledge on the Performance of Distributed Algorithms
CRII:AF:知识对分布式算法性能的影响
  • 批准号:
    2348346
  • 财政年份:
    2024
  • 资助金额:
    $ 62.25万
  • 项目类别:
    Standard Grant
CRII: CSR: From Bloom Filters to Noise Reduction Streaming Algorithms
CRII:CSR:从布隆过滤器到降噪流算法
  • 批准号:
    2348457
  • 财政年份:
    2024
  • 资助金额:
    $ 62.25万
  • 项目类别:
    Standard Grant
EAGER: Search-Accelerated Markov Chain Monte Carlo Algorithms for Bayesian Neural Networks and Trillion-Dimensional Problems
EAGER:贝叶斯神经网络和万亿维问题的搜索加速马尔可夫链蒙特卡罗算法
  • 批准号:
    2404989
  • 财政年份:
    2024
  • 资助金额:
    $ 62.25万
  • 项目类别:
    Standard Grant
CAREER: Efficient Algorithms for Modern Computer Architecture
职业:现代计算机架构的高效算法
  • 批准号:
    2339310
  • 财政年份:
    2024
  • 资助金额:
    $ 62.25万
  • 项目类别:
    Continuing Grant
CAREER: Improving Real-world Performance of AI Biosignal Algorithms
职业:提高人工智能生物信号算法的实际性能
  • 批准号:
    2339669
  • 财政年份:
    2024
  • 资助金额:
    $ 62.25万
  • 项目类别:
    Continuing Grant
DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks
DMS-EPSRC:机器学习中在线训练算法的渐近分析:循环、图形和深度神经网络
  • 批准号:
    EP/Y029089/1
  • 财政年份:
    2024
  • 资助金额:
    $ 62.25万
  • 项目类别:
    Research Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了