CT典型数据——shepp_logan体模数据的生成 python版本

phantominator包介绍

• 网址：https://github.com/mckib2/phantominator
• 安装：pip install phantominator
• 简介：用于简便的生成 numerical phantoms 的 python 包

基本用法：生成shepp_logan体模

import phantominator
from phantominator import shepp_logan

import matplotlib.pyplot as plt

2D体模

# 基本用法
# 2D CT
# 输出典型的体模，取值为[0,1] 参数为：
"""
E = np.zeros((10, 6)) # (10, [A, a, b, xc, yc, theta])
    E[:, 0] = [2, -.98, -.02, -.02, .01, .01, .01, .01, .01, .01]
    E[:, 1] = [
        .69, .6624, .11, .16, .21, .046, .046, .046, .023, .023]
    E[:, 2] = [.92, .874, .31, .41, .25, .046, .046, .023, .023, .046]
    E[:, 3] = [0, 0, .22, -.22, 0, 0, 0, -.08, 0, .06]
    E[:, 4] = [0, -.0184, 0, 0, .35, .1, -.1, -.605, -.605, -.605]
    E[:, 5] = np.deg2rad([0, 0, -18, 18, 0, 0, 0, 0, 0, 0])
    return E
"""

ph = shepp_logan(512)
print(ph.shape)
print(ph)

plt.imshow(ph, cmap='gray')
plt.show()

(512, 512)
[[0. 0. 0. ... 0. 0. 0.]
 [0. 0. 0. ... 0. 0. 0.]
 [0. 0. 0. ... 0. 0. 0.]
 ...
 [0. 0. 0. ... 0. 0. 0.]
 [0. 0. 0. ... 0. 0. 0.]
 [0. 0. 0. ... 0. 0. 0.]]

3D体模

# 3D CT
ph3d = shepp_logan((512, 512, 6), zlims=(-.25, .25))
print(ph3d.shape)

plt.figure(figsize=(15, 15))
n = ph3d.shape[-1]
for i in range(n):
    img = ph3d[:,:,i]
    plt.subplot(1, n, i + 1)
    plt.imshow(img, cmap="gray")
plt.show()

(512, 512, 6)

生成震荡的同心圆

from phantominator import dynamic
import math

phd = dynamic(128, 20)
print(ph.shape)

(128, 128, 20)

cols = 6
rows = math.ceil(phd.shape[-1] / cols)

n = phd.shape[-1]
plt.figure(figsize=(15, 15))
for i in range(n):
    img = phd[:,:,i]
    plt.subplot(rows, cols, i + 1)
    plt.imshow(img, cmap="gray")
plt.show()