Precise volumetry of human adipose tissue compartments by combining automatic post-processing algorithms and optimized MRI acquisition techniques

通过结合自动后处理算法和优化的 MRI 采集技术，对人体脂肪组织区室进行精确体积测定

• 批准号: 192749169
• 负责人: Professor Dr. Fritz Schick
• 金额: --
• 依托单位: Radiologische Universitätsklinik (Department)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2011
• 资助国家: 德国
• 起止时间: 2010-12-31 至 2015-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/192749169?language=en
• 关键词: Precise; volumetry; human; adipose; tissue

During the last years multiple large-cohort studies proved a significant correlation between reduced insulin sensitivity and the volumes of some adipose tissue compartments of the human body. The reduced insulin sensitivity can lead to wide-spread diseases such as type 2 diabetes mellitus and the metabolic syndrome which can lead to concomitant diseases such as cardiac arrest, stroke, blindness or renal insufficiency. Therefore, a precise and accurate volumetric assessment of adipose tissue compartments of the body is desirable for risk estimation and for monitoring of lifestyle interventions. Based on our preliminary work on automatic volumetry of major adipose tissue compartments, new reliable procedures for assessment of fatty tissue in the presence of severe signal inhomogeneities (caused by phased-array coils or RF-interferences) are to be developed in the proposed project. In contrast to many other approaches we opt to achieve this by simultaneous optimizing of both, imaging and evaluation techniques. Furthermore, small-volume adipose tissue compartments in the vicinity of blood vessels or the moving epi-/pericardial compartments are to be quantified reliably, since their role in future studies of the metabolism is expected to be highly significant. New methods with high selectivity to fat using adapted phase unwrapping and acceleration of data acquisition by modern 'compressed sensing' techniques are to be developed.

在过去的几年中，多项大型队列研究证明，胰岛素敏感性降低与人体某些脂肪组织室的体积之间存在显着相关性。胰岛素敏感性降低可导致广泛传播的疾病，例如2型糖尿病和代谢综合征，代谢综合征可导致心脏骤停、中风、失明或肾功能不全等伴随疾病。因此，对身体脂肪组织区室进行精确且准确的体积评估对于风险评估和生活方式干预监测是可取的。基于我们对主要脂肪组织区室自动体积测定的初步工作，在拟议的项目中将开发在存在严重信号不均匀性（由相控阵线圈或射频干扰引起）的情况下评估脂肪组织的新的可靠程序。与许多其他方法相比，我们选择通过同时优化成像和评估技术来实现这一目标。此外，血管附近的小体积脂肪组织区室或移动的心外膜/心包区室将被可靠地量化，因为它们在未来的代谢研究中的作用预计将非常重要。将开发使用适应相位展开和现代“压缩传感”技术加速数据采集的对脂肪具有高选择性的新方法。

项目成果

ESMRMB 2016, 33rd Annual Scientific Meeting, Vienna, AT, September 29–October 1: Abstracts, Thursday

ESMRMB 2016，第 33 届年度科学会议，奥地利维也纳，9 月 29 日至 10 月 1 日：摘要，星期四

• DOI: 10.1007/s10334-016-0568-x
• 发表时间: 2016-09-29
• 期刊: Magnetic Resonance Materials in Physics, Biology and Medicine
• 作者: K. Sofya;Nazarova Maria;Лимонова Алёна Сергеевна;Пирадов Михаил Александрович;Коновалов Родион Николаевич;Добрынина Лариса Анатольевна
• 通讯作者: Добрынина Лариса Анатольевна

ESMRMB 2016, 33rd Annual Scientific Meeting, Vienna, AT, September 29 – October 1: Abstracts, Saturday

ESMRMB 2016，第 33 届科学年会，奥地利维也纳，9 月 29 日 - 10 月 1 日：摘要，星期六

• DOI: 10.1007/s10334-016-0570-3
• 发表时间: 2016-09-30
• 期刊: Magnetic Resonance Materials in Physics, Biology and Medicine
• 作者: M. Zaiss;P. Ehses;J. Windschuh;Klaus Scheffler
• 通讯作者: Klaus Scheffler

MR Image Reconstruction Using a Combination of Compressed Sensing and Partial Fourier Acquisition: ESPReSSo

结合压缩传感和部分傅立叶采集进行 MR 图像重建：ESPReSSo

• DOI: 10.1109/tmi.2016.2577642
• 发表时间: 2016-06-07
• 期刊: IEEE Transactions on Medical Imaging
• 影响因子: 10.6
• 作者: Thomas Kustner;C. Würslin;S. Gatidis;P. Martirosian;K. Nikolaou;N. Schwenzer;F. Schick;Bin Yang;H. Schmidt
• 通讯作者: H. Schmidt

ESMRMB 2015, 32nd Annual Scientific Meeting, Edinburgh, UK, 1-3 October: Abstracts, Thursday

ESMRMB 2015，第 32 届年度科学会议，英国爱丁堡，10 月 1-3 日：摘要，星期四

• DOI: 10.1007/s10334-015-0487-2
• 发表时间: 2015-10-01
• 期刊: Magnetic Resonance Materials in Physics, Biology and Medicine
• 作者: N. Avdievich;IA Giapitzakis;Anke Henning
• 通讯作者: Anke Henning