Fig. 1
5D Flow data acquisition. a Data are sampled using a Cartesian pseudo-radial tiny Golden angle sampling pattern [33]. b Respiratory motion state detection is derived from profile d(kx, ky = 0, kz = 0), which is repeatedly acquired and processed using a combination of principal component analysis, lowpass filtering, and coil-clustering [36]. Each spoke is composed of 21 k-space profiles, one of them always through the k-space center . With Tr = 3.3. ms, respiratory motion is sampled at ca. 14 Hz. c Acquired data are sorted into four discrete respiratory motion states such that the acceleration factor for each motion state is similar