MR is a useful method for monitoring patients with pulmonary edema. To prevent difficult and costly transportation of patients to an MR imaging location, a portable magnet system was recently developed.The system necessarily operates in a noisy electro-magnetic environment,thus signal processing methods are needed to extract the NMR signal from a measurement system that is flooded with signal from external sources. This work compares a traditional adaptive filter theory approach against a sub-space projection approach. We demonstrate with phantom data measurements that these methods can improve detection of the NMR signal in anoisy environment.
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