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Note that the same dataset was used to reconstruct dynamic images with different temporal resolutions by grouping 34 (top), 21 (middle), and 13 (bottom) spokes. Figure 5b evaluates the corresponding signal intensity changes over time for the aorta (AO) and portal vein (PV). For comparison, the signal intensity-time curves of the NUFFT reconstruction are included as reference. Figure 6a shows unilateral breast DCE-MRI of a patient with fibroadenoma and fibrocystic changes. The images reconstructed with iGRASP show appropriate contrast enhancement over time in the normal breast tissue and in a suspicious breast lesion indicated by the white arrow. iGRASP also provided good image quality and depiction of relevant morphological features, such as fibroglandular tissue, skin layer, and the suspicious lesion. Figure 6b shows http://www.selleckchem.com/products/SB-431542.html the corresponding signal intensity changes over time of the breast lesion, heart cavity, vessel and breast tissue (white arrows http://www.selleck.cn/products/ipi-145-ink1197.html and ROI). The iGRASP reconstruction did not introduce significant notable temporal blurring. Figure 7 shows representative images of two partitions from a patient with neck mass and squamous cell cancer, together with the corresponding signal-intensity changes for the carotid artery (white arrows). The reconstruction shows good image quality in different phases and similar contrast enhancement to the NUFFT curves. Table 2 summarizes the mean scores and standard deviations for different reconstruction strategies in each application. iGRASP yielded significantly better scores (P? http://www.selleckchem.com/products/byl719.html Even though individual components of the method have been proposed before, the synergistic combination of CS, PI, and golden-angle radial sampling results in a technique that is particularly well-suited to obtain high spatial resolution, high temporal resolution, and large volumetric coverage at the same time. iGRASP achieved significantly better performance than either PI or CS alone and demonstrated high value for clinical studies that require robustness to patient motion and simultaneous high spatial and temporal resolution. iGRASP can be also used in other applications such as cardiac cine imaging [39].