def __init__(self, MR_scan, name=None):
if name == None:
name = self.__class__.__name__
Model.__init__(self, name)
# PET scan
self.MR_scan = MR_scan
# small number
self.EPS = 1e9
def __init__(self, PET_scan, name=None):
if name == None:
name = self.__class__.__name__
Model.__init__(self, name)
# PET scan
self.PET_scan = PET_scan
# small number
self.EPS = 1e9
def __init__(self, MR_scan, name=None):
if name == None:
name = self.__class__.__name__
Model.__init__(self, name)
# PET scan object:
self.MR_scan = MR_scan
self.N_time_bins = len(self.MR_scan.time_bins)
# Variables and dependencies:
self._x = None
self._sigma = None
self._rois = None
self.variables = {'x':'continuous', 'sigma':'continuous'}
self.dependencies = []
for t in range(self.N_time_bins):
var_name_counts = 'k_'+str(t)
var_name_roi = 'roi_'+str(t)
self.variables[var_name_counts]='continuous'
self.variables[var_name_roi]='continuous'
self.dependencies.append(['x',var_name_counts,'directed'])
self.dependencies.append(['sigma',var_name_counts,'directed'])
self.dependencies.append([var_name_roi,var_name_counts,'directed'])
def __init__(self, PET_scan, name=None):
if name == None:
name = self.__class__.__name__
Model.__init__(self, name)
# PET scan object:
self.PET_scan = PET_scan
self.N_time_bins = len(self.PET_scan.time_bins)
# Variables and dependencies:
self._lambda = None
self._alpha = None
self._rois = None
self.variables = {'lambda':'continuous', 'alpha':'continuous'}
self.dependencies = []
for t in range(self.N_time_bins):
var_name_counts = 'counts_'+str(t)
var_name_roi = 'roi_'+str(t)
self.variables[var_name_counts]='discrete'
self.variables[var_name_roi]='continuous'
self.dependencies.append(['lambda',var_name_counts,'directed'])
self.dependencies.append(['alpha',var_name_counts,'directed'])
self.dependencies.append([var_name_roi,var_name_counts,'directed'])
def __init__(self, PET_scan, name=None):
if name == None:
name = self.__class__.__name__
Model.__init__(self, name)
# PET scan object:
self.PET_scan = PET_scan
self.N_time_bins = len(self.PET_scan.time_bins)
# Variables and dependencies:
self._lambda = None
self._alpha = None
self._rois = None
self.variables = {'lambda':'continuous', 'alpha':'continuous'}
self.dependencies = []
for t in range(self.N_time_bins):
var_name_counts = 'counts_'+str(t)
var_name_roi = 'roi_'+str(t)
self.variables[var_name_counts]='discrete'
self.variables[var_name_roi]='continuous'
self.dependencies.append(['lambda',var_name_counts,'directed'])
self.dependencies.append(['alpha',var_name_counts,'directed'])
self.dependencies.append([var_name_roi,var_name_counts,'directed'])
def __init__(self, MR_scan, name=None):
if name == None:
name = self.__class__.__name__
Model.__init__(self, name)
# PET scan object:
self.MR_scan = MR_scan
self.N_time_bins = len(self.MR_scan.time_bins)
# Variables and dependencies:
self._x = None
self._sigma = None
self._rois = None
self.variables = {'x': 'continuous', 'sigma': 'continuous'}
self.dependencies = []
for t in range(self.N_time_bins):
var_name_counts = 'k_' + str(t)
var_name_roi = 'roi_' + str(t)
self.variables[var_name_counts] = 'continuous'
self.variables[var_name_roi] = 'continuous'
self.dependencies.append(['x', var_name_counts, 'directed'])
self.dependencies.append(['sigma', var_name_counts, 'directed'])
self.dependencies.append(
[var_name_roi, var_name_counts, 'directed'])
def __init__( self, name=None ):
if name == None:
name = self.__class__.__name__
Model.__init__(self, name)
