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Towards artifact-free non-invasive renal and hepatic functional MRI: development of an organ-specific navigator-based pCASL sequence with EPI acquisition

Towards artifact-free non-invasive renal and hepatic functional MRI: development of an organ-specific navigator-based pCASL sequence with EPI acquisition
迈向无伪影非侵入性肾和肝功能 MRI:通过 EPI 采集开发基于器官特异性导航器的 pCASL 序列
批准号:
507778602
负责人:
Dr. Ke Zhang
金额:
$0.0万
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依托单位国家:
德国
项目类别:
Research Grants
财政年份:
--
资助国家:
德国
项目状态:
未结题
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英文摘要
Subtle local changes in renal and hepatic perfusion are important indicators of developing disease; if quantified, they can be used to grade malignancy in neoplastic processes, and to monitor organ function during disease treatment. While glomerular filtration rate is considered the gold standard of kidney function evaluation, it has no spatial correlate, which is why cross-sectional perfusion measurements are more accurate and specific. Considering that the administration of nephrotoxic contrast agent is ill-advised in patients with severe kidney function impairment and patients with allergies to contrast agents, non-invasive MRI perfusion measurements with arterial spin labelling (ASL) techniques are gaining in importance. They provide quantitative measurements of organ perfusion by using magnetically labeled blood as an endogenous tracer. In neuroimaging, pseudocontinuous ASL (pCASL) has been developed recently and shown to provide a relatively reliable assessment of cerebral perfusion. In the abdominal imaging setting, however, motion artifacts significantly complicate the application of the pCASL technique. To address this problem, we aim to develop an organ-specific navigator-based slice tracking technique using an Echo-Planar Imaging (EPI) based sequence in renal and hepatic perfusion measurements to prospectively compensate for respiratory motion artifacts. This will allow an artifact-free free-breathing multi-slice and non-invasive renal and hepatic perfusion imaging. The sequence will be developed for a 1.5 Tesla MRI scanner (Siemens Aera), validated in volunteers, and compared against standard ASL MRI techniques. Postprocessing, numerical analysis, and statistical evaluation will be performed in Matlab v9.11 R2021b, Python v3.10.2, and R v4.1.0.
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基于artifact的跨组织业务流非功能性需求变化分析与应对机制研究
  • 批准号:
    61303229
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    22.0万元
  • 批准年份:
    2013
  • 负责人:
    王艺
  • 依托单位: