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Figure 5#
Imports#
import dolfin # https://fenicsproject.org
import IPython # https://ipython.org
import vtk # https://vtk.org
import dolfin_warp as dwarp # https://github.com/mgenet/dolfin_warp
from generate_images_and_meshes_from_HeartSlice import generate_images_and_meshes_from_HeartSlice
from plot_disp_error_vs_regul_strength import plot_disp_error_vs_regul_strength
from lib_viewer import Viewer
Parameters#
images_folder = "generate_images"
n_voxels = 100
deformation_type_lst = [ ]
deformation_type_lst += ["contractandtwist"]
texture_type_lst = [ ]
texture_type_lst += ["tagging"]
noise_level_lst = [ ]
noise_level_lst += [0.0]
noise_level_lst += [0.1]
noise_level_lst += [0.2]
noise_level_lst += [0.3]
n_runs_for_noisy_images = 10
working_folder = "run_warp"
mesh_size_lst = [ ]
mesh_size_lst += [0.1]
regul_type_lst = [ ]
regul_type_lst += ["continuous-linear-elastic" ]
regul_type_lst += ["continuous-linear-equilibrated" ]
regul_type_lst += ["continuous-elastic" ]
regul_type_lst += ["continuous-equilibrated" ]
regul_type_lst += ["discrete-simple-elastic" ]
regul_type_lst += ["discrete-simple-equilibrated" ]
regul_type_lst += ["discrete-linear-equilibrated" ]
regul_type_lst += ["discrete-linear-equilibrated-tractions-normal" ]
regul_type_lst += ["discrete-linear-equilibrated-tractions-tangential" ]
regul_type_lst += ["discrete-linear-equilibrated-tractions-normal-tangential"]
regul_type_lst += ["discrete-equilibrated" ]
regul_type_lst += ["discrete-equilibrated-tractions-normal" ]
regul_type_lst += ["discrete-equilibrated-tractions-tangential" ]
regul_type_lst += ["discrete-equilibrated-tractions-normal-tangential" ]
regul_level_lst = [ ]
regul_level_lst += [0.99 ]
regul_level_lst += [0.1*2**3]
regul_level_lst += [0.1*2**2]
regul_level_lst += [0.1*2**1]
regul_level_lst += [0.1 ]
regul_level_lst += [0.1/2**1]
regul_level_lst += [0.1/2**2]
regul_level_lst += [0.1/2**3]
regul_level_lst += [0.0 ]
do_generate_images = 1
do_generate_meshes = 1
do_run_warp = 1
do_plot_disp_error_vs_regul_strength = 1
Synthetic images#
if (do_generate_images):
for deformation_type in deformation_type_lst:
print("*** running model ***" )
print("deformation_type:", deformation_type)
generate_images_and_meshes_from_HeartSlice(
n_voxels = n_voxels ,
deformation_type = deformation_type,
texture_type = "no" ,
noise_level = 0 ,
run_model = 1 ,
generate_images = 0 )
for texture_type in texture_type_lst:
for noise_level in noise_level_lst :
n_runs = n_runs_for_noisy_images if (noise_level > 0) else 1
for k_run in range(1, n_runs+1):
print("*** generate_images ***" )
print("deformation_type:", deformation_type)
print("texture_type:" , texture_type )
print("noise_level:" , noise_level )
print("k_run:" , k_run )
generate_images_and_meshes_from_HeartSlice(
n_voxels = n_voxels ,
deformation_type = deformation_type ,
texture_type = texture_type ,
noise_level = noise_level ,
k_run = k_run if (n_runs > 1) else None,
run_model = 0 ,
generate_images = 1 )
Ground truth motion#
if (do_generate_meshes):
for deformation_type in deformation_type_lst:
for mesh_size in mesh_size_lst :
print("*** generate_meshes ***" )
print("deformation_type:", deformation_type)
print("mesh_size:" , mesh_size )
generate_images_and_meshes_from_HeartSlice(
n_voxels = n_voxels ,
deformation_type = deformation_type,
texture_type = "no" ,
noise_level = 0 ,
run_model = 1 ,
generate_images = 0 ,
mesh_size = mesh_size )
Tracking#
if (do_run_warp):
for deformation_type in deformation_type_lst:
for texture_type in texture_type_lst :
for noise_level in noise_level_lst :
n_runs = n_runs_for_noisy_images if (noise_level > 0) else 1
for k_run in range(1, n_runs+1):
for mesh_size in mesh_size_lst :
for regul_type in regul_type_lst :
for regul_level in regul_level_lst :
if any([_ in regul_type for _ in ["linear", "simple"]]):
regul_model = "hooke"
else:
regul_model = "ciarletgeymonatneohookean"
regul_poisson = 0.3
print("*** run_warp ***")
print("deformation_type:", deformation_type)
print("texture_type:" , texture_type )
print("noise_level:" , noise_level )
print("k_run:" , k_run )
print("mesh_size:" , mesh_size )
print("regul_type:" , regul_type )
print("regul_model:" , regul_model )
print("regul_level:" , regul_level )
print("regul_poisson:" , regul_poisson )
images_basename = "heart"
images_basename += "-"+deformation_type
images_basename += "-"+texture_type
images_basename += "-noise="+str(noise_level)
if (n_runs > 1):
images_basename += "-run="+str(k_run).zfill(2)
mesh_folder = images_folder
mesh_basename = "heart"
mesh_basename += "-"+deformation_type
mesh_basename += "-h="+str(mesh_size)
mesh_basename += "-mesh"
working_basename = images_basename
working_basename += "-h="+str(mesh_size)
working_basename += "-"+regul_type
working_basename += "-regul="+str(regul_level)
dwarp.warp(
working_folder = working_folder ,
working_basename = working_basename,
images_folder = images_folder ,
images_basename = images_basename ,
mesh_folder = mesh_folder ,
mesh_basename = mesh_basename ,
regul_type = regul_type ,
regul_model = regul_model ,
regul_level = regul_level ,
regul_poisson = regul_poisson ,
relax_type = "backtracking" ,
normalize_energies = 1 ,
tol_dU = 1e-2 ,
n_iter_max = 100 ,
continue_after_fail = 1 ,
write_VTU_files = 1 ,
write_VTU_files_with_preserved_connectivity = 1 )
Visualization#
deformation_type = "contractandtwist"
texture_type = "tagging"
noise_level = 0.
# noise_level = 0.1
# noise_level = 0.2
# noise_level = 0.3
k_run = 0
mesh_size = 0.1
# regul_type = "continuous-linear-elastic"
# regul_type = "continuous-linear-equilibrated"
# regul_type = "continuous-elastic"
# regul_type = "continuous-equilibrated"
# regul_type = "discrete-simple-elastic"
# regul_type = "discrete-simple-equilibrated"
# regul_type = "discrete-linear-equilibrated"
# regul_type = "discrete-linear-equilibrated-tractions-normal"
# regul_type = "discrete-linear-equilibrated-tractions-tangential"
# regul_type = "discrete-linear-equilibrated-tractions-normal-tangential"
# regul_type = "discrete-equilibrated"
# regul_type = "discrete-equilibrated-tractions-normal"
# regul_type = "discrete-equilibrated-tractions-tangential"
regul_type = "discrete-equilibrated-tractions-normal-tangential"
# regul_level = 0.99
# regul_level = 0.1*2**3
# regul_level = 0.1*2**2
# regul_level = 0.1*2**1
regul_level = 0.1
# regul_level = 0.1/2**1
# regul_level = 0.1/2**2
# regul_level = 0.1/2**3
# regul_level = 0.0
images_basename = "heart"
images_basename += "-"+deformation_type
images_basename += "-"+texture_type
images_basename += "-noise="+str(noise_level)
if (k_run > 0):
images_basename += "-run="+str(k_run).zfill(2)
working_basename = images_basename
working_basename += "-h="+str(mesh_size)
working_basename += "-"+regul_type
working_basename += "-regul="+str(regul_level)
viewer = Viewer(
images=images_folder+"/"+images_basename+"_*.vti",
meshes=working_folder+"/"+working_basename+"_*.vtu")
viewer.view()
Plot#
if (do_plot_disp_error_vs_regul_strength):
for deformation_type in deformation_type_lst:
for texture_type in texture_type_lst :
for regul_type in regul_type_lst :
print("*** plot_disp_error_vs_regul_strength ***")
print("deformation_type:", deformation_type)
print("texture_type:" , texture_type )
print("regul_type:" , regul_type )
plot_disp_error_vs_regul_strength(
images_folder = images_folder ,
sol_folder = working_folder ,
structure_type = "heart" ,
deformation_type = deformation_type ,
texture_type = texture_type ,
regul_type = regul_type ,
noise_level_lst = noise_level_lst ,
n_runs_for_noisy_images = n_runs_for_noisy_images,
regul_level_lst = regul_level_lst ,
regul_level_for_zero = 1e-3 ,
generate_datafile = 1 ,
generate_plotfile = 1 ,
generate_plot = 1 )
plotfile_basename = "plot_disp_error_vs_regul_strength"
plotfile_basename += "/"+"heart"
plotfile_basename += "-"+deformation_type
plotfile_basename += "-"+texture_type
plotfile_basename += "-"+regul_type
IPython.display.display(IPython.display.Image(filename=plotfile_basename+'.png'))