NiPyとmatplotlibで、脳機能画像のアニメーション
NiPyとmatplotlibで、脳機能画像のアニメーションを作っていきます。
Axial画像

import nipy
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
def input_files(data_path):
img = nipy.load_image(data_path)
data = img.get_data()
return img, data
#(x,y,z,t)の4D-NIfTIファイル
img, data = input_files(data_path)
fig = plt.figure()
ims = []
for i in range(data.shape[2]):
im = plt.imshow(data[:, :, i, 1].T, cmap='gray', animated=True)
plt.gca().invert_yaxis()
ims.append([im])
ani = animation.ArtistAnimation(fig, ims, interval=100)
ani.save('Axial.gif' ,writer = 'imagemagick')
Saggital画像

import nipy
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
def input_files(data_path):
img = nipy.load_image(data_path)
data = img.get_data()
return img, data
#(x,y,z,t)の4D-NIfTIファイル
img, data = input_files(data_path)
fig = plt.figure()
ims = []
for i in range(data.shape[0]):
im = plt.imshow(data[i, :, : , 1].T, cmap='gray', animated=True)
plt.gca().invert_yaxis()
ims.append([im])
ani = animation.ArtistAnimation(fig, ims, interval=100)
ani.save('Saggital.gif' ,writer = 'imagemagick')
Coronal画像

import nipy
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
def input_files(data_path):
img = nipy.load_image(data_path)
data = img.get_data()
return img, data
#(x,y,z,t)の4D-NIfTIファイル
img, data = input_files(data_path)
fig = plt.figure()
ims = []
for i in range(data.shape[1]):
im = plt.imshow(data[:, i, : , 1].T, cmap='gray', animated=True)
plt.gca().invert_yaxis()
ims.append([im])
ani = animation.ArtistAnimation(fig, ims, interval=100)
ani.save('Coronal.gif' ,writer = 'imagemagick')