Estimated R2 maps¶

Axial views of estimated in vivo R₂ maps. (A), The R₂ maps were directly calculated from the spoiled mGRE data by assuming a mono‐exponential signal model neglecting G_z ( F_z-shim=1). The other R₂^* maps were calculated using the proposed signal model for the spoiled mGRE (B), the global z‐shim ( |\(\bar{G}\) ^+/_c ) ©, and the proposed slice‐specific approach (D) data. An increase in SNR can be observed from © to (D) due to higher signal recovery

scans_path = ["data/mag_echo1_ref_scan.nii","data/mag_echo1_ref_scan.nii","data/mag_echo2_ref_scan.nii","data/mag_echo3_ref_scan.nii"]

n=35

layers = []
for path in scans_path:
    layers.append(load_image(path))

scans_names = ["Prv scan", "Vtor scan", "Tret scan", "Ctvrti scan"]
slices = [2,8,11,14,23]
title = "Axial views of estimated in R\N{SUBSCRIPT TWO} maps"

plot_subplots(layers,scans_names,slices,title,"final.html")
display(HTML('final.html'))

Adaptive slice-specific z-shimming for 2D spoiled gradient-echo sequences

Estimated R2 maps¶