Abstract #3126

Evaluation of spatial blur induced by preprocessing and distortion in UHF fMRI data

Jianbao Wang^1,2, Shahin Nasr^2,3, Anna Wang Roe^1,4, and Jonathan R. Polimeni^2,3,5

¹Department of Neurology of the Second Affiliated Hospital, Interdisciplinary Institute of Neuroscience and Technology, School of Medicine, Zhejiang University, Hangzhou, China, ²Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, ³Department of Radiology, Harvard Medical School, Charlestown, MA, United States, ⁴Key Laboratory for Biomedical Engineering, of Ministry of Education, Zhejiang University, Hangzhou, China, ⁵Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States

Functional MRI is vulnerable to several sources of spatially-varying blurring imposed both at the data acquisition and analysis stages. For studies investigating fine-scale functional organization, any losses in imaging resolution, caused by blurring, dramatically affect the interpretation of the data. Therefore, these often-unavoidable blurring effects should be taken into account. Here we suggest approaches to minimize losses in spatial accuracy and recommend methods for quantifying the imaging resolution. These quantification methods can provide spatial “error bars” to use when evaluating results.

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