New Methodology Removes Artifact fMRI, MRI, Magnetic Resonance Imaging
BIOPAC announces a new method to remove gradient artifact from physiological data recorded inside a functional MRI. The new technique allows researchers to record ECG, heart rate and R-R interval data from a subject while the MRI is taking images. The same technique also significantly improves the quality of EMG data.
The new techniques allow researchers to record physiological data from a subject in the MRI. The brain is scanned while the subject receives a combination of visual, auditory, somatosensory, and electrical stimulation. The stimulation activates different regions of the brain and allows researchers to image the brain while the brain responds to the stimuli. The physiological data, stimulation and MRI images are all highly synchronized. This allows researchers to compare physiological responses and images to precise stimuli.
BIOPAC has a range of MRI products to record almost every physiological signal from inside the scanner. A range of isolated and filtered MRI cables provide the conduit between the subject in the scanner and the MP150/MP100 data acquisition systems and amplifiers that are located in the control room. BIOPAC MRI-compatible electrodes and MRI-compatible transducers connect to the filter cables and the subject.
AcqKnowledge® software (included with the MP150 system) allows researchers to identify the frequency of the gradient noise and then remove it from the signal. The gradient artifact can be removed in real-time and during post-acquisition processing.
Alan Macy, Head of Research Development at BIOPAC, is responsible for the development of the new techniques. Macy said, “There will be a big improvement in the quality of the signals and data collected from inside the scanner as BIOPAC continues to invest in MRI research. We are constantly learning about the problems associated with recording physiological data in the MRI and developing new tools for improving signal quality.”
BIOPAC has published two Application Notes that help researchers to use the new techniques and improve the quality of their data. These Application Notes are part of a series that assist researchers in collecting high quality data from inside the MRI.