METHOD OF PROVIDING NOISE CANCELLATION IN FMRI DATA

摘要

Methods of performing noise cancellation are presented. One method includes acquiring a plurality of data sets, analyzing a subset of the plurality of data sets, generating a filter from the subset of data sets, and applying the filter to a data set which results in a noise cancelled data set. Alternately a regressor is generated instead of a filter, the regressor is applied to the model, and then the data set is applied to the model. Another method includes applying an excitation pulse to a subject, acquiring a baseline data set before a data set induced by the excitation pulse has developed, waiting a predetermined period of time, acquiring the data set induced by the excitation pulse, generating a regressor from the baseline data set, applying the regressor to a model, and applying a dataset to the model to obtain a noise cancelled data set.