def visualize_axial(niidir, savedir, min=0.75, max=1.0):
gl.viewaxial(1)
for method in ['grad', 'cam']:
for network in ['Vis', 'SomMot', 'DorsAttn', 'SalVentAttn', 'Limbic', 'Cont', 'Default']:
for gender in ['female', 'male']:
gl.overlayload(os.path.join(niidir, 'network', 'saliency_{}_{}_top20_{}_lh'.format(method, gender, network)))
gl.overlayload(os.path.join(niidir, 'network', 'saliency_{}_{}_top20_{}_rh'.format(method, gender, network)))
gl.minmax(1, min, max)
gl.minmax(2, min, max)
gl.colorname(1, colorname)
gl.colorname(2, colorname)
gl.savebmp(os.path.join(savedir, '{}_{}_{}_axial.png'.format(method, network, gender)))
gl.overlaycloseall()
def visualize_sagittal(niidir, savedir, min=0.75, max=1.0):
for hemisphere in ['lh', 'rh']:
if hemisphere =='lh': gl.clipazimuthelevation(0.49, 90, 0)
elif hemisphere =='rh': gl.clipazimuthelevation(0.49, 270, 0)
for network in ['Vis', 'SomMot', 'DorsAttn', 'SalVentAttn', 'Limbic', 'Cont', 'Default']:
for gender in ['female', 'male']:
gl.overlayload(os.path.join(niidir, 'network', 'saliency_{}_top20_{}_{}'.format(method, gender, network, hemisphere)))
gl.minmax(1, min, max)
gl.colorname(1, colorname)
gl.viewsagittal(1)
gl.savebmp(os.path.join(savedir, '{}_{}_sagittal_{}_lt.png'.format(network, gender, hemisphere)))
gl.viewsagittal(0)
gl.savebmp(os.path.join(savedir, '{}_{}_sagittal_{}_rt.png'.format(network, gender, hemisphere)))
gl.overlaycloseall()
# %% overlay ----------------------
FILESPATH='D:\\GD_UNICAMP\\IC_NeuroFisica\\Projetos\\fMRI_TLE_2020\\Seed_based_analysis'
os.chdir(FILESPATH)
networks_names=['DMN','SMOTOR','VISUAL','AUDIT','ECN_L','ECN_R']
netfile_sufx= ['_Group1X','_Group2L','_Group3R','_Group4N']
for net in networks_names:
savefolder=FILESPATH + '\\' + net + '\\'
for i in netfile_sufx:
FILENAME=net+i
SEEDFILENAME=net+"_seed"
gl.overlaycloseall()
gl.overlayload(FILENAME)
gl.overlayload(SEEDFILENAME)
gl.colorname (2,"3blue")
#gl.opacity(1,50)
# changing view ----------------------
gl.azimuthelevation(140,20)
ktime= 1
ksteps= 72
for x in range(0, ksteps):
gl.azimuthelevation(140+(x*5),20)
gl.wait(ktime)
if x < 10: