Q-Space Trajectories for Fast Diffusion Spectrum-based High-Definition Fiber Trac

用于基于快速扩散谱的高清光纤轨迹的 Q 空间轨迹

• 批准号: 9124951
• 负责人: Fernando E Boada
• 金额: $ 46.21万
• 依托单位: NEW YORK UNIVERSITY SCHOOL OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-15 至 2018-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9124951
• 关键词: Algorithms; Architecture; Autistic Disorder; Brain; Brain Concussion; Clinical; Communities; Data; Data Set; Development; Diagnosis; Diffusion; Disease; Evaluation; Fiber; Fourier Transform; Health; Human Volunteers; Lead; Location; Magnetic Resonance Imaging; Measurement; Measures; Methodology; Monitor; Morbidity - disease rate; Nature; Neurons; Neurosurgeon; Noise; Operative Surgical Procedures; Phase; Procedures; Radial; Reproducibility; Resolution; Role; Sampling; Scanning; Scheme; Signal Transduction; Slice; Speed; Structure; Syndrome; Time; Validation; Work; base; data acquisition; density; diffusion weighted; improved; interest; novel; post-traumatic stress; prevent; spectrograph; tool; white matter

DESCRIPTION (provided by applicant): This proposal is devoted to the development and evaluation of novel diffusion spectrum imaging (DSI) sampling schemes based on the use of radial trajectories in q-space. Our preliminary data demonstrate that such schemes lead to more accurate depictions of the orientation distribution function and faster data acquisition times. The potential improvements in data acquisition time are significant and could lead to data acquisition times as short as 5 minutes. Such short data acquisition times should be instrumental in allowing the use and validation of DSI-based tractography algorithms in a clinical setting.

描述（由申请人提供）：本提案致力于基于q空间中径向轨迹的新型扩散光谱成像（DSI）采样方案的开发和评估。我们的初步数据表明，这种方案可以更准确地描述方向分布函数和更快的数据采集时间。的