ARTIFACT REPAIR FOR HIGH MOTION CLINICAL SUBJECTS

高运动临床对象的工件修复

• 批准号: 7722884
• 负责人: PAUL K MAZAIKA
• 金额: $ 0.56万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-06-01 至 2009-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7722884
• 关键词: Clinical; Cognitive; Computer Retrieval of Information on Scientific Projects Database; Data; Data Set; Functional Magnetic Resonance Imaging; Funding; Grant; Institution; Measurement; Mental Health; Morphologic artifacts; Motion; Patients; Population; Process; Recording of previous events; Research; Research Personnel; Resources; Scanning; Source; United States National Institutes of Health; computerized data processing; cost; image processing; image reconstruction; improved; repaired

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. A key issue to improve mental health is to better understand the abnormal cognitive processing in mentally impaired populations. Thousands of fMRI data sets have been collected for many types of patients, often at large cost, but the data is difficult to analyze because clinical subjects often move during a scan session. In many cases, sporadic large motions cause artifacts from spin history effects during the measurement process and image reconstruction errors during data processing.

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