simulPET/useM.py

import sys
sys.path.append("/afs/f9.ijs.si/home/studen/current_work/medfiz/funkcSlikanje/naloge")
import Glinear as gl
import setMask as sm
import numpy as np
import matplotlib.pyplot as plot
import FBP
import MLEM

nx=12
ny=12

na=11
nb=8

mask=sm.set_mask(nx,ny,1)

#matrix
G=gl.sys_matrix(nx,ny,nb,na,mask)

#image
im=np.zeros([nx,ny])
im[10,10]=1

sino=G.dot(im.ravel()).reshape(na,nb)
plot.imshow(sino,interpolation='none')
#add measurement error
sino1=scipy.ndimage.gaussian_filter(numpy.transpose(sino),[5,0.1])

#rekonstruirana slika z filtrirano povratno projekcijo
im1=FBP.FBP(G,sino,nx,na)
im2=FBP.FBP(G,np.transpose(sino1),nx,na)

#rekonstruirana slika z MLEM
G1=np.transpose(G)
imold=mask

#ponavljaj dokler nisi zadovoljen
im2=MLEM.MLEM(G, G1, sino, imold, nx, na, nb)
imold=im2