包含多张图片信息的三维数组如何变成astra可以进行FDK重建的数据python

可以使用以下代码将包含多张图片信息的三维数组转换为astra可以进行FDK重建的数据：

import numpy as np
import astra

# 定义图像尺寸
nx = 256
ny = 256
nz = 10

# 创建一个随机的三维数组
data = np.random.random((nx, ny, nz))

# 定义重建几何参数
angles = np.linspace(0, np.pi, 180, endpoint=False)
detector_size = ny
proj_geom = astra.create_proj_geom('fanflat', detector_size, nx, angles)

# 创建Astra项目和数据
vol_geom = astra.create_vol_geom(nx, ny, nz)
proj_id = astra.create_projector('cuda', proj_geom, vol_geom)
sinogram_id, sinogram = astra.create_sino(data, proj_id)

# 使用Astra进行FDK重建
reconstruction_id = astra.data3d.create('-vol', vol_geom)
cfg = astra.astra_dict('FDK_CUDA')
cfg['ProjectionDataId'] = sinogram_id
cfg['ReconstructionDataId'] = reconstruction_id
cfg['ProjectorId'] = proj_id
astra.algorithm.run(cfg)

# 获取重建后的数据
reconstruction = astra.data3d.get(reconstruction_id)