def __init__(self, subject):
GenericTask.__init__(self, subject)
def __init__(self, subject):
GenericTask.__init__(self, subject, 'preparation', 'unwarping', 'denoising', 'preprocessing', 'parcellation', 'registration')
self.reportName = self.config.get('qa','report_name')
self.imgWidth = 650
self.debug = False
def __init__(self, subject):
GenericTask.__init__(self, subject, 'preprocessing', 'preparation', 'unwarping', 'masking')
def __init__(self, subject):
GenericTask.__init__(self, subject, 'preparation')
def __init__(self, subject):
GenericTask.__init__(self, subject, 'hardi', 'masking')
def __init__(self, subject):
GenericTask.__init__(self, subject, 'hardi', 'registration' ,'masking')
def __init__(self, subject):
GenericTask.__init__(self, subject, 'tensors', 'masking')
def __init__(self, subject):
GenericTask.__init__(self, subject, 'denoising', 'preparation',
'unwarping')
def __init__(self, subject):
GenericTask.__init__(self, subject, 'preparation')
self.id = subject.getConfig().get('parcellation', 'id')
def __init__(self, subject):
"""Fits a diffusion tensor model at each voxel
"""
GenericTask.__init__(self, subject, 'preprocessing', 'preparation', 'unwarping', 'masking')
def __init__(self, subject):
GenericTask.__init__(self, subject, 'tensors', 'masking', 'unwarping',
'preprocessing', 'preparation', 'registration')
def __init__(self, subject):
GenericTask.__init__(self, subject, 'preparation')
self.id = subject.getConfig().get('parcellation', 'id')
def __init__(self, subject):
GenericTask.__init__(self, subject, "preparation", "parcellation")
def __init__(self, subject):
GenericTask.__init__(self, subject, 'preprocessing', 'parcellation', 'preparation')
def __init__(self, subject):
GenericTask.__init__(self, subject, 'denoising', 'preparation', 'unwarping')
def __init__(self, subject):
self.subjectDir = subject.getDir()
GenericTask.__init__(self, subject)
self.setCleanupBeforeImplement(False)
def __init__(self, subject):
GenericTask.__init__(self, subject, 'registration')
def __init__(self, subject):
GenericTask.__init__(self, subject, 'preprocessing', 'parcellation',
'preparation')
def __init__(self, subject):
GenericTask.__init__(self, subject, 'backup')
def __init__(self, subject):
"""Fits a diffusion tensor model at each voxel
"""
GenericTask.__init__(self, subject, 'preprocessing', 'preparation',
'unwarping', 'masking')
def __init__(self, subject):
GenericTask.__init__(self, subject)
def __init__(self, subject):
GenericTask.__init__(self, subject, 'registration')