IRIS-HSVD for automatic MRS data quantification

One of the most difficult problems in magnetic resonance spectroscopy (MRS) data processing is to separate the targeted chemical compoundspsila signal from a distorted baseline in very noisy data. In this work, we propose a new quantification scheme based on the iterative reduction of interference signal hankel singular value decomposition (IRIS-HSVD) algorithm for accurate, robust and automatic quantification of multidimensional human brain ³¹P MRS data.